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 Yale English 39 academics 47
2 Columbia English 46 academics 45
3 Dartmouth English 28 academics 35
4 Penn English 32 academics 34
5 Brown English 28 academics 31
6 Princeton English 29 academics 25
7 Harvard English 25 academics 24
8 Cornell English 38 academics 9

8,552 citations over 503 of 931 works (54% carry a count). 95 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% 165 83/165 0.503030303030303%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 272 154/272 0.5661764705882353%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 81 24/81 0.2962962962962963%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 133 78/133 0.5864661654135338%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 31 28/31 0.9032258064516129%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 112 84/112 0.75%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 79 26/79 0.3291139240506329%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 58 26/58 0.4482758620689655%
  • 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% 165 83/165 0.503030303030303%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 272 154/272 0.5661764705882353%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 81 24/81 0.2962962962962963%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 133 78/133 0.5864661654135338%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 31 28/31 0.9032258064516129%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 112 84/112 0.75%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 79 26/79 0.3291139240506329%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 58 26/58 0.4482758620689655%
  • 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% 165 83/165 0.503030303030303%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 272 154/272 0.5661764705882353%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 81 24/81 0.2962962962962963%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 133 78/133 0.5864661654135338%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 31 28/31 0.9032258064516129%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 112 84/112 0.75%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 79 26/79 0.3291139240506329%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 58 26/58 0.4482758620689655%
  • 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.0.050.0100.0150.0200.0250.0300.0Distinguished Brown English over 9 academics 10.0Distinguished Columbia English over 4 academics 158.5Distinguished Cornell English over 3 academics 0.0Distinguished Dartmouth English over 2 academics 214.0Distinguished Harvard English over 3 academics 20.0Distinguished Penn English over 6 academics 68.0Distinguished Princeton English over 2 academics 13.5Distinguished Yale English over 7 academics 30.0Full Brown English over 7 academics 7.0Full Columbia English over 3 academics 142.0Full Cornell English over 4 academics 0.0Full Harvard English over 3 academics 0.0Full Princeton English over 1 academics 0.0Full Yale English over 7 academics 3.0Associate Brown English over 6 academics 0.0Associate Columbia English over 1 academics 4.0Associate Cornell English over 11 academics 0.0Associate Dartmouth English over 2 academics 270.5Associate Penn English over 3 academics 21.0Associate Yale English over 4 academics 17.5Assistant Brown English over 2 academics 7.0Assistant Columbia English over 4 academics 7.5Assistant 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 187.0Assistant Princeton English over 1 academics 60.0Assistant Yale English over 8 academics 2.5Unknown 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% 165 83/165 0.503030303030303%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 272 154/272 0.5661764705882353%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 81 24/81 0.2962962962962963%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 133 78/133 0.5864661654135338%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 31 28/31 0.9032258064516129%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 112 84/112 0.75%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 79 26/79 0.3291139240506329%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 58 26/58 0.4482758620689655%
  • 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.02004006008001 Brown English Amanda Anderson 3143141 Columbia English Jennifer Wenzel 7457451 Cornell English Mary Loeffelholz 1101101 Dartmouth English James E. Dobson 5265261 Harvard English Martin Puchner 3233231 Penn English Paul Saint-Amour 3083081 Princeton English Rob Nixon 5515511 Yale English Cajetan Iheka 7617612 Brown English Dixa Ramirez 1961962 Columbia English Bruce Robbins 4494492 Cornell English Cathy Caruth 70702 Dartmouth English Donald E. Pease 4274272 Harvard English Beth Blum 1501502 Penn English Rahul Mukherjee 1871872 Princeton English Paul Nadal 60602 Yale English Caleb Smith 4154153 Brown English Timothy Bewes 1241243 Columbia English Sharon Marcus 2652653 Cornell English Masha Raskolnikov 58583 Dartmouth English Aden Evens 15153 Harvard English Christopher Pexa 91913 Penn English Jean-Christophe Cloutier 1551553 Princeton English Robert Spoo 46463 Yale English Jonathan Kramnick 2112114 Brown English Kevin E. Quashie 72724 Columbia English Joseph R. Slaughter 2512514 Cornell English Rebeca Hey-Colón 50504 Dartmouth English Carolyn Dever 994 Harvard English Tara K. Menon 25254 Penn English S. Pearl Brilmyer 1021024 Princeton English Zahid R. Chaudhary 37374 Yale English John Durham Peters 1231235 Brown English Jacques Khalip 34345 Columbia English Dennis Yi Tenen 1421425 Cornell English Lenora Warren 29295 Dartmouth English Matthew Ritger 225 Harvard English Daniel Donoghue 20205 Penn English Melissa E. Sanchez 87875 Princeton English Simon Gikandi 27275 Yale English Erica Edwards 898912345CitationsRank

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 —
Chelsea Mikael Frazier 1 0/1 0.0% 1/1 1.0% 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 —
Deak Nabers 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
Ellis Hanson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
Ernesto Quiñonez 1 1/1 1.0% 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 —
George Hutchinson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
Helena María Viramontes 1 1/1 1.0% 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 —
Herman Beavers 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
Homi Bhabha 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Ishion Hutchinson 1 1/1 1.0% 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 —
Jim Egan 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
John Stauffer 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
Kate McCullough 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
Kathy Eden 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0 —
Katie Trumpener 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
Kevin Attell 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
Lyrae Van Clief-Stefanon 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
Mary Pat Brady 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
Melissa F. Zeiger 1 0/1 0.0% 1/1 1.0% 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 Dames 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
Nigel Smith 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
Philip Lorenz 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
Ravit Reichman 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
Rayna Kalas 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
Samantha Zacher 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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% 13 0/13 0.0%
Caryl Phillips 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 0/4 0.0%
Catherine Nicholson 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 3 0/3 0.0%
Derek Miller 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 0/3 0.0%
Elaine Scarry 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 0/6 0.0%
Emily Thornbury 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 0/1 0.0%
Jonathan Howard 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 4 0/4 0.0%
Marc Robinson 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 5 0/5 0.0%
Rachel Adams 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 15 0/15 0.0%
Roger Gilbert 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 0/1 0.0%
Valzhyna Mort 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 1 0/1 0.0%
Ada Smailbegovic 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 2/6 0.3333333333333333%
Aden Evens 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 2 1/2 0.5%
Amanda Anderson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 10/11 0.9090909090909091%
Anastasia Eccles 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 1/2 0.5%
Andrew L. McCann 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 3/4 0.75%
Bakirathi Mani 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 2/6 0.3333333333333333%
Benjamin W. Parker 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 5/6 0.8333333333333334%
Beth Blum 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 5 5/5 1.0%
Bruce Robbins 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 50 19/50 0.38%
Cajetan Iheka 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 37 22/37 0.5945945945945946%
Caleb Smith 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 61 35/61 0.5737704918032787%
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% 3 1/3 0.3333333333333333%
Cathy Caruth 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 4/11 0.36363636363636365%
Christopher Pexa 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 8 6/8 0.75%
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% 12 5/12 0.4166666666666667%
Daniel Donoghue 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 14 1/14 0.07142857142857142%
Daniel Kim 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 1/4 0.25%
David Bromwich 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 17 2/17 0.11764705882352941%
Denise Cruz 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 3/7 0.42857142857142855%
Dennis Yi Tenen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 7/10 0.7%
Dixa Ramirez 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 3 2/3 0.6666666666666666%
Donald E. Pease 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 45 1/45 0.022222222222222223%
Elisha Cohn 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Elizabeth S. Anker 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 1/3 0.3333333333333333%
Ellen Rooney 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Elleza Kelley 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Erica Edwards 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 5 3/5 0.6%
Hannah Weaver 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 10 5/10 0.5%
J. Robert Lennon 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 25 1/25 0.04%
Jacques Khalip 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 8/11 0.7272727272727273%
James A. Kuzner 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 8 8/8 1.0%
James E. Dobson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 21 17/21 0.8095238095238095%
James English 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 6/9 0.6666666666666666%
Jean-Christophe Cloutier 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 7 5/7 0.7142857142857143%
Jennifer Wenzel 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 11/16 0.6875%
Jenny Davidson 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 11 2/11 0.18181818181818182%
Jeremy Braddock 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 4/5 0.8%
Jessica Brantley 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
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% 24 18/24 0.75%
John Williams 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Jonathan Kramnick 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 15 10/15 0.6666666666666666%
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% 9 5/9 0.5555555555555556%
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% 4 3/4 0.75%
Juno Jill Richards 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 10 6/10 0.6%
Kevin E. Quashie 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 8 6/8 0.75%
Kevin McLaughlin 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 5/6 0.8333333333333334%
Laura Brown 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Leah Whittington 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Leela Gandhi 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 3/4 0.75%
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%
Marc Redfield 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Marcel Elias 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Martin Puchner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 9/16 0.5625%
Mary Loeffelholz 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 7 1/7 0.14285714285714285%
Masha Raskolnikov 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 1/4 0.25%
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% 2 2/2 1.0%
Melissa E. Sanchez 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 10 9/10 0.9%
Mukoma Wa Ngugi 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 1/4 0.25%
Olakunle George 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 3/3 1.0%
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 6/6 1.0%
Paul Saint-Amour 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 18 12/18 0.6666666666666666%
Philip Gould 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 3/3 1.0%
Priyasha Mukhopadhyay 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 2/2 1.0%
Rahul Mukherjee 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 7 7/7 1.0%
Ralph Rodriguez 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 1/2 0.5%
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% 10 9/10 0.9%
Richard Rambuss 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Rob Nixon 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 2 2/2 1.0%
Robert Spoo 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 9 9/9 1.0%
Rolland D. Murray 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Ruth Yeazell 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 3/14 0.21428571428571427%
S. Pearl Brilmyer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 8/13 0.6153846153846154%
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% 4 3/4 0.75%
Sharon Marcus 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 9/11 0.8181818181818182%
Simon Gikandi 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 8 6/8 0.75%
Stephanie Newell 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 7/11 0.6363636363636364%
Stuart Burrows 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 4/6 0.6666666666666666%
Sunny Xiang 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 8 6/8 0.75%
Tamar Katz 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
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% 14 9/14 0.6428571428571429%
Whitney Trettien 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 8/12 0.6666666666666666%
Zachary Lesser 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 5/8 0.625%
Zahid R. Chaudhary 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 6 5/6 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, Yale English.0.05.010.015.020.0Associate Brown English median of 2 academics 10.510.5Associate Columbia English median of 1 academics 6.06.0Associate Cornell English median of 2 academics 6.56.5Associate Dartmouth English median of 1 academics 10.010.0Associate Harvard English median of 1 academics 4.04.0Associate Penn English median of 2 academics 9.09.0Associate Yale English median of 3 academics 8.08.0Full or distinguished Brown English median of 4 academics 19.519.5Full or distinguished Columbia English median of 2 academics 19.019.0Full or distinguished Harvard English median of 2 academics 8.58.5Full or distinguished Penn English median of 2 academics 17.517.5Full or distinguished Yale English median of 4 academics 13.013.0AssociateFull or distinguishedYears since the PhDRank reached

Brown EnglishColumbia EnglishCornell EnglishDartmouth EnglishHarvard EnglishPenn 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% 165 83/165 0.503030303030303%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 272 154/272 0.5661764705882353%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 81 24/81 0.2962962962962963%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 133 78/133 0.5864661654135338%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 31 28/31 0.9032258064516129%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 112 84/112 0.75%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 79 26/79 0.3291139240506329%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 58 26/58 0.4482758620689655%
  • 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.African Studies ReviewAfrican Studies Review 1616ELHELH 1515PMLA/Publications of the Modern Lang...ciation of AmericaPMLA/Publications of the Modern Language Association of America 1414Critical InquiryCritical Inquiry 1414American Literary HistoryAmerican Literary History 1414boundary 2boundary 2 1313NOVEL A Forum on FictionNOVEL A Forum on Fiction 1212Modern Language QuarterlyModern Language Quarterly 1111differencesdifferences 1010The Cambridge Journal of Postcolonial Literary InquiryThe Cambridge Journal of Postcolonial Literary Inquiry 99Modernism/Modernity Print PlusModernism/Modernity Print Plus 99The New York Review of BooksThe New York Review of Books 99New Literary HistoryNew Literary History 88Project Muse (Johns Hopkins University)Project Muse (Johns Hopkins University) 77RepresentationsRepresentations 77051015JournalWorks

The twelve venues highest on this reading, of 256.

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% 165 83/165 0.503030303030303%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 272 154/272 0.5661764705882353%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 81 24/81 0.2962962962962963%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 133 78/133 0.5864661654135338%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 31 28/31 0.9032258064516129%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 112 84/112 0.75%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 79 26/79 0.3291139240506329%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 58 26/58 0.4482758620689655%
  • 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.