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 Columbia English 46 academics 230
2 Cornell English 38 academics 135
3 Yale English 39 academics 123
4 Princeton English 29 academics 108
5 Brown English 28 academics 97
6 Penn English 32 academics 86
7 Dartmouth English 28 academics 52
8 Harvard English 25 academics 51

31,840 citations over 1,456 of 2,492 works (58% carry a count). 118 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% 423 265/423 0.6264775413711584%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 545 328/545 0.6018348623853211%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 477 148/477 0.31027253668763105%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 234 151/234 0.6452991452991453%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 173 147/173 0.8497109826589595%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 343 253/343 0.7376093294460642%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 159 93/159 0.5849056603773585%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 138 71/138 0.5144927536231884%
  • 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% 423 265/423 0.6264775413711584%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 545 328/545 0.6018348623853211%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 477 148/477 0.31027253668763105%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 234 151/234 0.6452991452991453%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 173 147/173 0.8497109826589595%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 343 253/343 0.7376093294460642%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 159 93/159 0.5849056603773585%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 138 71/138 0.5144927536231884%
  • 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% 423 265/423 0.6264775413711584%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 545 328/545 0.6018348623853211%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 477 148/477 0.31027253668763105%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 234 151/234 0.6452991452991453%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 173 147/173 0.8497109826589595%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 343 253/343 0.7376093294460642%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 159 93/159 0.5849056603773585%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 138 71/138 0.5144927536231884%
  • 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.0.0500.01,000.01,500.02,000.0Distinguished Brown English over 9 academics 175.0Distinguished Columbia English over 4 academics 1,847.5Distinguished Cornell English over 3 academics 164.0Distinguished Dartmouth English over 2 academics 325.5Distinguished Harvard English over 3 academics 404.0Distinguished Penn English over 6 academics 350.5Distinguished Princeton English over 2 academics 548.5Distinguished Yale English over 7 academics 313.0Full Brown English over 7 academics 43.0Full Columbia English over 3 academics 80.0Full Cornell English over 4 academics 4.5Full Harvard English over 3 academics 23.0Full Princeton English over 1 academics 0.0Full Yale English over 7 academics 109.0Associate Brown English over 6 academics 26.0Associate Columbia English over 1 academics 74.0Associate Cornell English over 11 academics 35.0Associate Dartmouth English over 2 academics 357.0Associate Penn English over 3 academics 33.0Associate Yale English over 4 academics 26.0Assistant 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 188.0Assistant 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% 423 265/423 0.6264775413711584%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 545 328/545 0.6018348623853211%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 477 148/477 0.31027253668763105%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 234 151/234 0.6452991452991453%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 173 147/173 0.8497109826589595%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 343 253/343 0.7376093294460642%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 159 93/159 0.5849056603773585%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 138 71/138 0.5144927536231884%
  • 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.0100020003000400050001 Brown English Timothy Bewes 5671 Columbia English Bruce Robbins 43511 Cornell English Cathy Caruth 38771 Dartmouth English James E. Dobson 6371 Harvard English Martin Puchner 6171 Penn English Paul Saint-Amour 7571 Princeton English Rob Nixon 14251 Yale English John Durham Peters 12992 Brown English Amanda Anderson 5402 Columbia English Sharon Marcus 34682 Cornell English Ellis Hanson 2202 Dartmouth English Donald E. Pease 5642 Harvard English Elaine Scarry 4042 Penn English James English 6762 Princeton English Simon Gikandi 9822 Yale English Caleb Smith 10153 Brown English Ellen Rooney 3663 Columbia English Jennifer Wenzel 12233 Cornell English George Hutchinson 1643 Dartmouth English Andrew L. McCann 873 Harvard English John Stauffer 713 Penn English Zachary Lesser 5193 Princeton English Robert Spoo 3793 Yale English Ruth Yeazell 6084 Brown English Philip Gould 1934 Columbia English Joseph R. Slaughter 8074 Cornell English Mary Loeffelholz 1424 Dartmouth English Carolyn Dever 804 Harvard English Beth Blum 514 Penn English Rahul Mukherjee 1884 Princeton English Zahid R. Chaudhary 1824 Yale English Jonathan Kramnick 3935 Brown English Marc Redfield 1755 Columbia English Julie Stone Peters 2275 Cornell English Laura Brown 1205 Dartmouth English Aden Evens 775 Harvard English Christopher Pexa 465 Penn English Melissa E. Sanchez 1825 Princeton English Nigel Smith 1155 Yale English Stephanie Newell 31312345CitationsRank

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 —
Caryl Phillips 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
Valzhyna Mort 1 1/1 1.0% 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% 23 0/23 0.0%
Catherine Nicholson 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 6 0/6 0.0%
Ernesto Quiñonez 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 6 0/6 0.0%
Helena María Viramontes 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 4 0/4 0.0%
Ishion Hutchinson 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 47 0/47 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% 45 0/45 0.0%
Rachel Adams 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 26 0/26 0.0%
Ada Smailbegovic 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 4/10 0.4%
Aden Evens 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 10 5/10 0.5%
Amanda Anderson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 25 20/25 0.8%
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% 41 24/41 0.5853658536585366%
Bakirathi Mani 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 8/11 0.7272727272727273%
Benjamin W. Parker 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 10 8/10 0.8%
Beth Blum 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 8 5/8 0.625%
Bruce Robbins 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 198 116/198 0.5858585858585859%
Cajetan Iheka 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 31 17/31 0.5483870967741935%
Caleb Smith 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 101 58/101 0.5742574257425742%
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% 13 7/13 0.5384615384615384%
Cathy Caruth 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 50 29/50 0.58%
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% 9 7/9 0.7777777777777778%
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% 24 15/24 0.625%
Daniel Donoghue 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 20 8/20 0.4%
Daniel Kim 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 10 1/10 0.1%
David Bromwich 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 29 6/29 0.20689655172413793%
Deak Nabers 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 8/9 0.8888888888888888%
Denise Cruz 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 9/14 0.6428571428571429%
Dennis Yi Tenen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 10/13 0.7692307692307693%
Derek Miller 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 8 3/8 0.375%
Dixa Ramirez 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 7 5/7 0.7142857142857143%
Donald E. Pease 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 62 30/62 0.4838709677419355%
Elaine Scarry 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 27 7/27 0.25925925925925924%
Elisha Cohn 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 8 8/8 1.0%
Elizabeth S. Anker 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 10 9/10 0.9%
Ellen Rooney 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 18 15/18 0.8333333333333334%
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% 10 5/10 0.5%
Emily Thornbury 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 13 11/13 0.8461538461538461%
Erica Edwards 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 10/12 0.8333333333333334%
George Hutchinson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 18 11/18 0.6111111111111112%
Hannah Weaver 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 5/9 0.5555555555555556%
Herman Beavers 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 20 6/20 0.3%
J. Robert Lennon 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 130 4/130 0.03076923076923077%
Jacques Khalip 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 20 17/20 0.85%
James A. Kuzner 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 12/12 1.0%
James E. Dobson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 25 20/25 0.8%
James English 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 30 19/30 0.6333333333333333%
Jean-Christophe Cloutier 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 6 5/6 0.8333333333333334%
Jennifer Wenzel 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 35 25/35 0.7142857142857143%
Jenny Davidson 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 23 8/23 0.34782608695652173%
Jeremy Braddock 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 7/8 0.875%
Jessica Brantley 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 8/9 0.8888888888888888%
Jim Egan 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 2/4 0.5%
Joan Lubin 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 8 6/8 0.75%
John Durham Peters 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 70 58/70 0.8285714285714286%
John Stauffer 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 4/11 0.36363636363636365%
John Williams 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 9/12 0.75%
Jonathan Kramnick 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 28 20/28 0.7142857142857143%
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% 18 15/18 0.8333333333333334%
Julia Alekseyeva 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 11 6/11 0.5454545454545454%
Julie Stone Peters 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 10/12 0.8333333333333334%
Juno Jill Richards 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 15 7/15 0.4666666666666667%
Kate McCullough 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 4/4 1.0%
Katie Trumpener 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 25 14/25 0.56%
Kevin Attell 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 7 4/7 0.5714285714285714%
Kevin E. Quashie 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 9/12 0.75%
Kevin McLaughlin 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 13 12/13 0.9230769230769231%
Laura Brown 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 14 9/14 0.6428571428571429%
Leah Whittington 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Leela Gandhi 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 17 7/17 0.4117647058823529%
Lenora Warren 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 7 3/7 0.42857142857142855%
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% 19 2/19 0.10526315789473684%
Marc Redfield 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 32 19/32 0.59375%
Marcel Elias 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 8 7/8 0.875%
Martin Puchner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 45 28/45 0.6222222222222222%
Mary Loeffelholz 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 45 23/45 0.5111111111111111%
Mary Pat Brady 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 7 4/7 0.5714285714285714%
Masha Raskolnikov 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 4/10 0.4%
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% 11 7/11 0.6363636363636364%
Melissa E. Sanchez 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 21 18/21 0.8571428571428571%
Melissa F. Zeiger 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 4 4/4 1.0%
Mukoma Wa Ngugi 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 25 5/25 0.2%
Nicholas Dames 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 12/12 1.0%
Nigel Smith 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 22 16/22 0.7272727272727273%
Olakunle George 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 13 11/13 0.8461538461538461%
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% 6 5/6 0.8333333333333334%
Paul Saint-Amour 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 35 29/35 0.8285714285714286%
Philip Gould 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 20 18/20 0.9%
Philip Lorenz 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 1/3 0.3333333333333333%
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% 13 11/13 0.8461538461538461%
Ralph Rodriguez 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 4/6 0.6666666666666666%
Ravit Reichman 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 6/9 0.6666666666666666%
Rayna Kalas 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Rebeca Hey-Colón 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 7 3/7 0.42857142857142855%
Rebecca Kastleman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 10/11 0.9090909090909091%
Richard Rambuss 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 10/11 0.9090909090909091%
Rob Nixon 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 34 28/34 0.8235294117647058%
Robert Spoo 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 44 44/44 1.0%
Roger Gilbert 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 31 8/31 0.25806451612903225%
Rolland D. Murray 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 6/6 1.0%
Ruth Yeazell 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 45 27/45 0.6%
S. Pearl Brilmyer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 10/14 0.7142857142857143%
Samantha Zacher 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Sara Kazmi 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 5 4/5 0.8%
Shane Vogel 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 10/12 0.8333333333333334%
Sharon Marcus 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 42 35/42 0.8333333333333334%
Simon Gikandi 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 55 44/55 0.8%
Stephanie Newell 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 33 29/33 0.8787878787878788%
Stuart Burrows 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 10/12 0.8333333333333334%
Sunny Xiang 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 8 5/8 0.625%
Tamar Katz 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 5 4/5 0.8%
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% 45 33/45 0.7333333333333333%
Whitney Trettien 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 9/9 1.0%
Zachary Lesser 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 12/13 0.9230769230769231%
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% 4 4/4 1.0%
  • 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% 423 265/423 0.6264775413711584%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 545 328/545 0.6018348623853211%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 477 148/477 0.31027253668763105%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 234 151/234 0.6452991452991453%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 173 147/173 0.8497109826589595%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 343 253/343 0.7376093294460642%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 159 93/159 0.5849056603773585%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 138 71/138 0.5144927536231884%
  • 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 6767boundary 2boundary 2 4242NOVEL A Forum on FictionNOVEL A Forum on Fiction 4141ELHELH 3333American Literary HistoryAmerican Literary History 3333Critical InquiryCritical Inquiry 3232CallalooCallaloo 2929differencesdifferences 2727Victorian StudiesVictorian Studies 2727Modern Language QuarterlyModern Language Quarterly 2424James Joyce quarterlyJames Joyce quarterly 2323RepresentationsRepresentations 2222American LiteratureAmerican Literature 2222New Literary HistoryNew Literary History 2020Research in African LiteraturesResearch in African Literatures 202002550JournalWorks

The twelve venues highest on this reading, of 507.

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% 423 265/423 0.6264775413711584%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 545 328/545 0.6018348623853211%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 477 148/477 0.31027253668763105%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 234 151/234 0.6452991452991453%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 173 147/173 0.8497109826589595%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 343 253/343 0.7376093294460642%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 159 93/159 0.5849056603773585%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 138 71/138 0.5144927536231884%
  • 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.