Trackademia

Welcome to Trackademia

The idea behind Trackademia is to build on existing academic databases like Google Scholar and OpenAlex so that you can trust the data and use it for whatever you want. That comes down to two things.

More data, and more ways to use it. We aggregate publication data from every major source into a single dataset and add information pulled from faculty CVs. Then we let you slice it however you want: choose which sources to build from, write your own formulas, weight journals, adjust for department size.

More accurate, and honest about where it isn’t. We focus on a smaller set of schools so we can verify everything carefully. Faculty lists come from department websites rather than being inferred from publication records, so we know who should be in the data before we go looking. When we can’t find data on someone, we record the gap instead of dropping them. Every number comes with a coverage rate you can check against ground truth.

Everything in Trackademia is built from seven units. AI merges duplicate records across sources and tags each publication so these categories hold up:

  • Publication — citation counts, authors, journal, peer review status, and more
  • Publication group — versions of the same work combined into one entity, such as a working paper and the article it became
  • Academic
  • Department
  • University
  • Field
  • Journal

There are two modes. In Database mode you browse the underlying records and filter by any of the seven units. In Analytics mode you get graphs and comparisons, and you switch views to compare two departments, compare one department against the average of the others, or see them all at once. Tabs let you focus on a particular level of the data.

Trackademia

Every graph on this site

Publications

  • Ranking Ranked table
    • Value: Citations, Weighted citations, Publications
    • Measure: Total, Mean per work, Median per work
  • Works published per year Lines over years
    • Measure: Total, Mean per academic, Median per academic
    • Calendar year or years since PhD
    • In each year or cumulative
  • Citations received per year Lines over years
    • Value: Citations, Weighted citations
    • Measure: Total, Mean per work, Median per work, Mean per academic, Median per academic
    • In each year or cumulative
  • Citation distribution Bars
    • Value: Citations, Weighted citations
  • Citations by age of work Lines over years
    • Value: Citations, Weighted citations
    • Measure: Total, Mean per work, Median per work
  • Publication type mix Ranked bars
    • Value: Citations, Weighted citations, Publications
  • Top venues Ranked bars
    • Value: Citations, Weighted citations, Publications

Academics

Departmentshere

  • Ranking Ranked table
    • Value: Citations, Weighted citations, Publications
    • Measure: Total, Mean per work, Median per work, Mean per academic, Median per academic, Formula
  • Publications over time Lines over years
    • Measure: Total, Mean per academic, Median per academic, Formula
    • Calendar year or years since PhD
    • In each year or cumulative
  • Citations over time Lines over years
    • Value: Citations, Weighted citations
    • Measure: Total, Mean per academic, Median per academic, Formula
    • In each year or cumulative
  • Makeup by tenure track Stacked bars
  • Output by rank Grouped bars
    • Value: Citations, Weighted citations, Publications
    • Measure: Total, Mean per work, Median per work, Mean per academic, Median per academic, Formula
  • Academics ranked against academics Grouped bars
    • Value: Citations, Weighted citations, Publications
    • How many ranks (opens on 5)
  • Years to promotion Grouped bars
  • Journals used Stacked bars
    • Value: Citations, Weighted citations, Publications

Journals

Fields

  • Ranking Ranked table
    • Value: Citations, Weighted citations, Publications
    • Measure: Total, Mean per work, Median per work, Mean per academic, Median per academic
  • Departments by field Bars
    • Measure: Total, Mean per work, Median per work, Mean per academic, Median per academic
  • University rollup Ranked bars
  • Coverage by field Ranked bars

Trackademia

Search the whole site

Search a person, a department, a journal or the title of a work. A person’s name brings up their profile, their publications, their department and the journals they publish in.
Trackademia
Value Measure

Departments

Mean citations per academic
1 Cornell English 38 academics 900
2 Princeton English 29 academics 732
3 Columbia English 46 academics 430
4 Brown English 28 academics 356
5 Yale English 39 academics 319
6 Penn English 32 academics 213
7 Harvard English 25 academics 206
8 Dartmouth English 28 academics 142

113,519 citations over 1,826 of 3,204 works (57% carry a count). 119 of 265 academics have at least one counted work. A work with no citation count is unknown here, never a zero.

Publications over time

Works published in each year
Measure X axis Each point

Brown EnglishColumbia EnglishCornell EnglishDartmouth EnglishHarvard EnglishPenn EnglishPrinceton EnglishYale English

Every selected work, by the year it was published. An undated work is in no year.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Columbia English 46 12/46 0.2608695652173913% 10/46 0.21739130434782608% 11/46 0.2391304347826087% 496 312/496 0.6290322580645161%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 679 394/679 0.5802650957290133%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 599 206/599 0.34390651085141904%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 299 185/299 0.6187290969899666%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 222 181/222 0.8153153153153153%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 444 315/444 0.7094594594594594%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 238 116/238 0.48739495798319327%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 227 117/227 0.5154185022026432%
  • Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
  • A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
  • What there was to draw from, not what the graph divided by - the graph states its own denominator above.
  • A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.

Citations over time

Citations received in each year
Value Measure Each point

Brown EnglishColumbia EnglishCornell EnglishDartmouth EnglishHarvard EnglishPenn EnglishPrinceton EnglishYale English

Citations received in each year, from the academics’ verified Scholar profiles.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Columbia English 46 12/46 0.2608695652173913% 10/46 0.21739130434782608% 11/46 0.2391304347826087% 496 312/496 0.6290322580645161%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 679 394/679 0.5802650957290133%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 599 206/599 0.34390651085141904%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 299 185/299 0.6187290969899666%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 222 181/222 0.8153153153153153%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 444 315/444 0.7094594594594594%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 238 116/238 0.48739495798319327%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 227 117/227 0.5154185022026432%
  • Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
  • A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
  • What there was to draw from, not what the graph divided by - the graph states its own denominator above.
  • A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.

Makeup by tenure track

Academics on and off the tenure track
Series: Tenure track, Not tenure track, Other.01020304050Brown Tenure track 24Brown Other 428Columbia Tenure track 12Columbia Other 3446Cornell Tenure track 20Cornell Not tenure track 1Cornell Other 1738Dartmouth Tenure track 5Dartmouth Other 2328Harvard Tenure track 7Harvard Other 1825Penn Tenure track 10Penn Other 2232Princeton Tenure track 4Princeton Other 2529Yale Tenure track 26Yale Other 1339BrownColumbiaCornellDartmouthHarvardPennPrincetonYaleAcademicsDepartment

Tenure trackNot tenure trackOther

Every academic the filters keep, by whether their current rank is on the tenure track (docs/definitions.md section 7). A rank in neither group - emeritus, postdoc, or a rank no CV states - is its own segment rather than filed under one of them: an emeritus professor was on the tenure track, and an unknown rank is not a claim about tenure at all.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Columbia English 46 12/46 0.2608695652173913% 10/46 0.21739130434782608% 11/46 0.2391304347826087% 496 312/496 0.6290322580645161%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 679 394/679 0.5802650957290133%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 599 206/599 0.34390651085141904%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 299 185/299 0.6187290969899666%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 222 181/222 0.8153153153153153%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 444 315/444 0.7094594594594594%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 238 116/238 0.48739495798319327%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 227 117/227 0.5154185022026432%
  • Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
  • A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
  • What there was to draw from, not what the graph divided by - the graph states its own denominator above.
  • A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.

Output by rank

Median citations per academic at each rank
Value Measure
Series: Brown English, Columbia English, Cornell English, Dartmouth English, Harvard English, Penn English, Princeton English, Yale English.0.01,000.02,000.03,000.04,000.0Distinguished Brown English over 9 academics 398.0Distinguished Columbia English over 4 academics 3,097.0Distinguished Cornell English over 3 academics 718.0Distinguished Dartmouth English over 2 academics 912.5Distinguished Harvard English over 3 academics 1,347.0Distinguished Penn English over 6 academics 611.0Distinguished Princeton English over 2 academics 1,253.0Distinguished Yale English over 7 academics 836.0Full Brown English over 7 academics 70.0Full Columbia English over 3 academics 176.0Full Cornell English over 4 academics 22.0Full Harvard English over 3 academics 38.0Full Princeton English over 1 academics 0.0Full Yale English over 7 academics 153.0Associate Brown English over 6 academics 47.0Associate Columbia English over 1 academics 170.0Associate Cornell English over 11 academics 71.0Associate Dartmouth English over 2 academics 733.0Associate Penn English over 3 academics 46.0Associate Yale English over 4 academics 59.5Assistant Brown English over 2 academics 13.0Assistant Columbia English over 4 academics 10.0Assistant Cornell English over 2 academics 0.0Assistant Dartmouth English over 1 academics 2.0Assistant Harvard English over 1 academics 25.0Assistant Penn English over 1 academics 213.0Assistant Princeton English over 1 academics 60.0Assistant Yale English over 8 academics 3.5Unknown Brown English over 4 academics 0.0Unknown Columbia English over 34 academics 0.0Unknown Cornell English over 17 academics 0.0Unknown Dartmouth English over 23 academics 0.0Unknown Harvard English over 18 academics 0.0Unknown Penn English over 22 academics 0.0Unknown Princeton English over 25 academics 0.0Unknown Yale English over 13 academics 0.0Other Cornell English over 1 academics 0.0DistinguishedFullAssociateAssistantUnknownOtherMedian citations per academicRank

Brown EnglishColumbia EnglishCornell EnglishDartmouth EnglishHarvard EnglishPenn EnglishPrinceton EnglishYale English

Each rank read on its own, so a department of thirty and one of sixty are comparable at the same career stage.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Columbia English 46 12/46 0.2608695652173913% 10/46 0.21739130434782608% 11/46 0.2391304347826087% 496 312/496 0.6290322580645161%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 679 394/679 0.5802650957290133%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 599 206/599 0.34390651085141904%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 299 185/299 0.6187290969899666%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 222 181/222 0.8153153153153153%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 444 315/444 0.7094594594594594%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 238 116/238 0.48739495798319327%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 227 117/227 0.5154185022026432%
  • Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
  • A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
  • What there was to draw from, not what the graph divided by - the graph states its own denominator above.
  • A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.

Academics ranked against academics

Each department's rank-n academic, citations
Value Ranks
Series: Brown English, Columbia English, Cornell English, Dartmouth English, Harvard English, Penn English, Princeton English, Yale English.0500010000150002000025000300001 Brown English Amanda Anderson 31061 Columbia English Bruce Robbins 86141 Cornell English Cathy Caruth 299061 Dartmouth English Donald E. Pease 15281 Harvard English Martin Puchner 31441 Penn English James English 29051 Princeton English Rob Nixon 176121 Yale English John Durham Peters 38472 Brown English Leela Gandhi 24242 Columbia English Sharon Marcus 56652 Cornell English Laura Brown 7182 Dartmouth English James E. Dobson 9472 Harvard English Elaine Scarry 13472 Penn English Paul Saint-Amour 16042 Princeton English Simon Gikandi 22422 Yale English Ruth Yeazell 20273 Brown English Timothy Bewes 17333 Columbia English Joseph R. Slaughter 22153 Cornell English Kevin Attell 6813 Dartmouth English Aden Evens 5193 Harvard English John Stauffer 2163 Penn English Zachary Lesser 9143 Princeton English Robert Spoo 8803 Yale English Caleb Smith 14114 Brown English Marc Redfield 4174 Columbia English Jennifer Wenzel 18004 Cornell English Mary Loeffelholz 6124 Dartmouth English Carolyn Dever 4094 Harvard English Beth Blum 1584 Penn English Melissa E. Sanchez 3084 Princeton English Nigel Smith 2644 Yale English Katie Trumpener 9575 Brown English Philip Gould 3985 Columbia English Nicholas Dames 5295 Cornell English George Hutchinson 5875 Dartmouth English Andrew L. McCann 2975 Harvard English Christopher Pexa 1125 Penn English Dagmawi Woubshet 2145 Princeton English Zahid R. Chaudhary 1825 Yale English Stephanie Newell 83612345CitationsRank

Brown EnglishColumbia EnglishCornell EnglishDartmouth EnglishHarvard EnglishPenn EnglishPrinceton EnglishYale English

Rank 5 of 46 at the deepest; 8 of 8 departments still have somebody at the last rank drawn. Rank n of one department is not otherwise related to rank n of another - what this compares is the shape of the lists.

What these filters select, per academic not what the graph divided by
Academic Academics CVScholarOpenAlex Works With a count
Abdulhamit Arvas 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Adhy Kim 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Alan Stewart 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Alexander Chee 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Alexandra Kleeman 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 0 —
Aliyyah Abdur-Rahman 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Alysia Garrison 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Amanda Claybaugh 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Amy E. Hungerford 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Andrew Cole 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Andrew Delbanco 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Andrew Galloway 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 0 —
Anjuli F Kolb 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Anna Shechtman 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Anna Wilson 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Anne A. Cheng 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Ardis Butterfield 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Austin E. Quigley 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Autumn Womack 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Barbara Will 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Bradin Cormack 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Branka Arsić 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Brent Hayes Edwards 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
C Riley Snorton 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Caroline Levine 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Caz Batten 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Chi-ming Yang 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Colleen Glenney Boggs 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Colm Tóibín 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
D. Vance Smith 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
David Kazanjian 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
David L. Eng 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
David Wallace 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
David Yerkes 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Deidre Shauna Lynch 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Dustin D. Stewart 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Eduardo Cadava 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Edward Mendelson 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Eleanor B Johnson 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Emily Fridlund 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Emily Steiner 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Emily Steinlight 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Erik Gray 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Ernest Mitchell 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Esther Schor 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Ethan A. Plaue 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Farah Jasmine Griffin 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Feisal Mohamed 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Frances Negron-Muntaner 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Gauri Viswanathan 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Gayatri Chakravorty Spivak 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Gayle Salamon 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Gene Andrew Jarrett 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
George Edmondson 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Glenda Carpio 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Gordon Teskey 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Henry Louis Gates, Jr. 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Homi Bhabha 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Jack Halberstam 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Jacqueline Goldsby 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
James Adams 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Jean-Michel Rabaté 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Jed Esty 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Jeff Dolven 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 0 —
Jeff Nunokawa 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Jeff Sharlet 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Jennifer Ponce de León 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Jesse McCarthy 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Jessica C. Beckman 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Jessica M. Rosenberg 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Jill Campbell 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Jodi Kim 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Joe Cleary 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Joseph Albernaz 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Joseph North 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Josephine Park 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Joshua Kotin 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Ju Yon Kim 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Juliana Hu Pegues 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Julie Crawford 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Kathy Eden 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Kimberly Juanita Brown 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Kinohi Nishikawa 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Langdon Hammer 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Laura K. Nelson 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Lauren Robertson 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Lee Clark Mitchell 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Lilith Todd 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Lindsay Thomas 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Louis Menand 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Margo Natalie Crawford 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Maria A. DiBattista 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Mariah Min 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Matthew Hart 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Matthew S. Olzmann 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Melanie B. Taylor 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Meredith Martin 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Michael A. Chaney 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Michael Gamer 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Molly Murray 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Namwali Serpell 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Nancy Bentley 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Nancy Yousef 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Naomi Levine 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Nicholas Watson 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Nicole Morris Johnson 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Nicole Sheriko 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 0 —
Nirvana Tanoukhi 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
NoViolet Bulawayo 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Patricia Dailey 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Patricia Rachael Stuelke 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Peter M. Orner 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Rebecca Liu 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Robert O'Meally 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Russ Leo 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Saidiya V Hartman 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Sam Moodie 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Sandeep Parmar 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Sandhya E. Dirks 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Sarah Cole 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Sarah Rivett 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Shana L. Redmond 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Shirley Samuels 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 0 —
Simone White 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Sophie Gee 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Stefanie Markovits 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Stephanie Burt 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Stephen Greenblatt 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Susan Wolfson 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
T. Austin Graham 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Tamsen Wolff 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Thomas O'Malley 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Tracy K. Smith 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Vidyan Ravinthiran 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Vievee Elaure Francis 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
William A. Gleason 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Zita Cristina Nunes 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Al Filreis 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 31 0/31 0.0%
Catherine Nicholson 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 8 0/8 0.0%
Ernesto Quiñonez 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 8 0/8 0.0%
Helena María Viramontes 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 9 0/9 0.0%
Ishion Hutchinson 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 51 0/51 0.0%
Jonathan Howard 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 5 0/5 0.0%
Marc Robinson 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 52 0/52 0.0%
Rachel Adams 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 34 0/34 0.0%
Valzhyna Mort 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 7 0/7 0.0%
Ada Smailbegovic 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 4/13 0.3076923076923077%
Aden Evens 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 13 8/13 0.6153846153846154%
Amanda Anderson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 34 29/34 0.8529411764705882%
Anastasia Eccles 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Andrew L. McCann 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 48 28/48 0.5833333333333334%
Bakirathi Mani 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 13 9/13 0.6923076923076923%
Benjamin W. Parker 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 9/11 0.8181818181818182%
Beth Blum 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 9 6/9 0.6666666666666666%
Bruce Robbins 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 219 135/219 0.6164383561643836%
Cajetan Iheka 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 39 24/39 0.6153846153846154%
Caleb Smith 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 108 62/108 0.5740740740740741%
Carlos Alonso Nugent 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Carolyn Dever 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 17 11/17 0.6470588235294118%
Caryl Phillips 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 27 1/27 0.037037037037037035%
Cathy Caruth 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 64 41/64 0.640625%
Chelsea Mikael Frazier 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 1 1/1 1.0%
Christopher Pexa 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 10 8/10 0.8%
Connie Scozzaro 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Dagmawi Woubshet 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 26 16/26 0.6153846153846154%
Daniel Donoghue 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 49 13/49 0.2653061224489796%
Daniel Kim 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 14 1/14 0.07142857142857142%
David Bromwich 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 46 17/46 0.3695652173913043%
Deak Nabers 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 10 9/10 0.9%
Denise Cruz 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 10/16 0.625%
Dennis Yi Tenen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 15 11/15 0.7333333333333333%
Derek Miller 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 3/9 0.3333333333333333%
Dixa Ramirez 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 8 6/8 0.75%
Donald E. Pease 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 120 35/120 0.2916666666666667%
Elaine Scarry 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 38 14/38 0.3684210526315789%
Elisha Cohn 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 9/9 1.0%
Elizabeth S. Anker 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 13 10/13 0.7692307692307693%
Ellen Rooney 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 21 16/21 0.7619047619047619%
Elleza Kelley 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Ellis Hanson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 7/12 0.5833333333333334%
Emily Thornbury 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 15 13/15 0.8666666666666667%
Erica Edwards 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 16 13/16 0.8125%
George Hutchinson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 25 14/25 0.56%
Hannah Weaver 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 6/11 0.5454545454545454%
Herman Beavers 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 22 7/22 0.3181818181818182%
J. Robert Lennon 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 141 4/141 0.028368794326241134%
Jacques Khalip 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 30 20/30 0.6666666666666666%
James A. Kuzner 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 15 15/15 1.0%
James E. Dobson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 31 26/31 0.8387096774193549%
James English 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 38 25/38 0.6578947368421053%
Jean-Christophe Cloutier 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 10 8/10 0.8%
Jennifer Wenzel 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 40 29/40 0.725%
Jenny Davidson 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 26 11/26 0.4230769230769231%
Jeremy Braddock 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 10/12 0.8333333333333334%
Jessica Brantley 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 13 10/13 0.7692307692307693%
Jim Egan 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 5 3/5 0.6%
Joan Lubin 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 6/9 0.6666666666666666%
John Durham Peters 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 77 63/77 0.8181818181818182%
John Stauffer 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 20 10/20 0.5%
John Williams 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 14 11/14 0.7857142857142857%
Jonathan Kramnick 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 33 24/33 0.7272727272727273%
Joseph Miranda 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 1/2 0.5%
Joseph R. Slaughter 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 24 19/24 0.7916666666666666%
Julia Alekseyeva 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 13 8/13 0.6153846153846154%
Julie Stone Peters 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 17 15/17 0.8823529411764706%
Juno Jill Richards 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 18 9/18 0.5%
Kate McCullough 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 5 5/5 1.0%
Katie Trumpener 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 29 15/29 0.5172413793103449%
Kevin Attell 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 6/11 0.5454545454545454%
Kevin E. Quashie 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 17 10/17 0.5882352941176471%
Kevin McLaughlin 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 21 18/21 0.8571428571428571%
Laura Brown 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 20 14/20 0.7%
Leah Whittington 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 8 7/8 0.875%
Leela Gandhi 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 23 12/23 0.5217391304347826%
Lenora Warren 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 8 4/8 0.5%
Lloyd Alimboyao Sy 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 15/16 0.9375%
Lyrae Van Clief-Stefanon 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 23 3/23 0.13043478260869565%
Marc Redfield 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 46 27/46 0.5869565217391305%
Marcel Elias 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 8/9 0.8888888888888888%
Martin Puchner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 81 53/81 0.654320987654321%
Mary Loeffelholz 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 61 35/61 0.5737704918032787%
Mary Pat Brady 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 5/11 0.45454545454545453%
Masha Raskolnikov 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 6/12 0.5%
Matthew Ritger 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 3/4 0.75%
Melinda Rabb 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 14 9/14 0.6428571428571429%
Melissa E. Sanchez 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 28 23/28 0.8214285714285714%
Melissa F. Zeiger 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 5 5/5 1.0%
Mukoma Wa Ngugi 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 35 6/35 0.17142857142857143%
Nicholas Dames 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 15 14/15 0.9333333333333333%
Nigel Smith 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 35 21/35 0.6%
Olakunle George 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 16 13/16 0.8125%
Olivia Lingyi Xu 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 3/4 0.75%
Paul Nadal 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Paul Saint-Amour 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 42 32/42 0.7619047619047619%
Philip Gould 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 26 23/26 0.8846153846153846%
Philip Lorenz 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 2/4 0.5%
Priyasha Mukhopadhyay 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 4/4 1.0%
Rahul Mukherjee 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 14 12/14 0.8571428571428571%
Ralph Rodriguez 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 7 5/7 0.7142857142857143%
Ravit Reichman 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 10 7/10 0.7%
Rayna Kalas 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 3/4 0.75%
Rebeca Hey-Colón 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 9 5/9 0.5555555555555556%
Rebecca Kastleman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 11/14 0.7857142857142857%
Richard Rambuss 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 15 13/15 0.8666666666666667%
Rob Nixon 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 39 33/39 0.8461538461538461%
Robert Spoo 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 58 58/58 1.0%
Roger Gilbert 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 36 11/36 0.3055555555555556%
Rolland D. Murray 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 7 7/7 1.0%
Ruth Yeazell 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 55 35/55 0.6363636363636364%
S. Pearl Brilmyer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 17 11/17 0.6470588235294118%
Samantha Zacher 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 8 5/8 0.625%
Sara Kazmi 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 6 4/6 0.6666666666666666%
Shane Vogel 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 15 11/15 0.7333333333333333%
Sharon Marcus 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 53 41/53 0.7735849056603774%
Simon Gikandi 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 71 53/71 0.7464788732394366%
Stephanie Newell 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 51 39/51 0.7647058823529411%
Stuart Burrows 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 14 12/14 0.8571428571428571%
Sunny Xiang 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 10 7/10 0.7%
Tamar Katz 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 4/6 0.6666666666666666%
Tara K. Menon 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 3/3 1.0%
Timothy Bewes 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 56 39/56 0.6964285714285714%
Whitney Trettien 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 17 12/17 0.7058823529411765%
Zachary Lesser 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 23 19/23 0.8260869565217391%
Zahid R. Chaudhary 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 12 10/12 0.8333333333333334%
Zoë L. Henry 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 4/6 0.6666666666666666%
  • Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
  • A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
  • What there was to draw from, not what the graph divided by - the graph states its own denominator above.
  • A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.

Years to promotion

From the PhD to each rank
Series: Brown English, Columbia English, Cornell English, Dartmouth English, Harvard English, Penn English, Princeton English, Yale English.0.05.010.015.020.0Associate Brown English median of 16 academics 7.07.0Associate Columbia English median of 8 academics 6.06.0Associate Cornell English median of 13 academics 6.06.0Associate Dartmouth English median of 3 academics 10.010.0Associate Harvard English median of 4 academics 4.54.5Associate Penn English median of 8 academics 7.07.0Associate Princeton English median of 2 academics 6.06.0Associate Yale English median of 12 academics 6.06.0Full or distinguished Brown English median of 13 academics 14.014.0Full or distinguished Columbia English median of 6 academics 13.513.5Full or distinguished Cornell English median of 5 academics 12.012.0Full or distinguished Dartmouth English median of 2 academics 9.59.5Full or distinguished Harvard English median of 5 academics 8.08.0Full or distinguished Penn English median of 6 academics 16.016.0Full or distinguished Princeton English median of 3 academics 14.014.0Full or distinguished Yale English median of 12 academics 11.511.5AssociateFull or distinguishedYears since the PhDRank reached

Brown EnglishColumbia EnglishCornell EnglishDartmouth EnglishHarvard EnglishPenn EnglishPrinceton EnglishYale English

The median years from the PhD year a CV states to the first year it states that rank. An academic whose CV dates neither is in neither figure.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Columbia English 46 12/46 0.2608695652173913% 10/46 0.21739130434782608% 11/46 0.2391304347826087% 496 312/496 0.6290322580645161%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 679 394/679 0.5802650957290133%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 599 206/599 0.34390651085141904%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 299 185/299 0.6187290969899666%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 222 181/222 0.8153153153153153%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 444 315/444 0.7094594594594594%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 238 116/238 0.48739495798319327%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 227 117/227 0.5154185022026432%
  • Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
  • A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
  • What there was to draw from, not what the graph divided by - the graph states its own denominator above.
  • A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.

Journals used

Where these departments place work, by works
Value
Series: value.PMLA/Publications of the Modern Lang...ciation of AmericaPMLA/Publications of the Modern Language Association of America 6868NOVEL A Forum on FictionNOVEL A Forum on Fiction 4646boundary 2boundary 2 4242ELHELH 3333American Literary HistoryAmerican Literary History 3333Critical InquiryCritical Inquiry 3232CallalooCallaloo 2929differencesdifferences 2828Victorian StudiesVictorian Studies 2727Medical Entomology and ZoologyMedical Entomology and Zoology 2626Project Muse (Johns Hopkins University)Project Muse (Johns Hopkins University) 2626RepresentationsRepresentations 2525Modern Language QuarterlyModern Language Quarterly 2525American LiteratureAmerican Literature 2323James Joyce quarterlyJames Joyce quarterly 232302550JournalWorks

The twelve venues highest on this reading, of 548.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Columbia English 46 12/46 0.2608695652173913% 10/46 0.21739130434782608% 11/46 0.2391304347826087% 496 312/496 0.6290322580645161%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 679 394/679 0.5802650957290133%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 599 206/599 0.34390651085141904%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 299 185/299 0.6187290969899666%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 222 181/222 0.8153153153153153%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 444 315/444 0.7094594594594594%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 238 116/238 0.48739495798319327%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 227 117/227 0.5154185022026432%
  • Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
  • A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
  • What there was to draw from, not what the graph divided by - the graph states its own denominator above.
  • A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.