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 Dartmouth English 5 academics 194
2 Columbia English 12 academics 141
3 Penn English 10 academics 84
4 Yale English 26 academics 70
5 Harvard English 7 academics 53
6 Brown English 24 academics 28
7 Princeton English 4 academics 22
8 Cornell English 20 academics 8

6,637 citations over 434 of 812 works (53% carry a count). 78 of 108 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
Yale English 26 26/26 1.0% 4/26 0.15384615384615385% 23/26 0.8846153846153846% 271 153/271 0.5645756457564576%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 109 82/109 0.7522935779816514%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 57 15/57 0.2631578947368421%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 145 76/145 0.5241379310344828%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 95 56/95 0.5894736842105263%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 45 15/45 0.3333333333333333%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 76 25/76 0.32894736842105265%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 14 12/14 0.8571428571428571%
  • 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 by the works these filters select.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Yale English 26 26/26 1.0% 4/26 0.15384615384615385% 23/26 0.8846153846153846% 271 153/271 0.5645756457564576%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 109 82/109 0.7522935779816514%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 57 15/57 0.2631578947368421%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 145 76/145 0.5241379310344828%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 95 56/95 0.5894736842105263%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 45 15/45 0.3333333333333333%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 76 25/76 0.32894736842105265%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 14 12/14 0.8571428571428571%
  • 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.051015202530Brown Tenure track 2424Columbia Tenure track 1212Cornell Tenure track 2020Dartmouth Tenure track 55Harvard Tenure track 77Penn Tenure track 1010Princeton Tenure track 44Yale Tenure track 2626BrownColumbiaCornellDartmouthHarvardPennPrincetonYaleAcademicsDepartment

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
Yale English 26 26/26 1.0% 4/26 0.15384615384615385% 23/26 0.8846153846153846% 271 153/271 0.5645756457564576%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 109 82/109 0.7522935779816514%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 57 15/57 0.2631578947368421%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 145 76/145 0.5241379310344828%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 95 56/95 0.5894736842105263%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 45 15/45 0.3333333333333333%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 76 25/76 0.32894736842105265%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 14 12/14 0.8571428571428571%
  • 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 2.5DistinguishedFullAssociateAssistantMedian 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
Yale English 26 26/26 1.0% 4/26 0.15384615384615385% 23/26 0.8846153846153846% 271 153/271 0.5645756457564576%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 109 82/109 0.7522935779816514%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 57 15/57 0.2631578947368421%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 145 76/145 0.5241379310344828%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 95 56/95 0.5894736842105263%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 45 15/45 0.3333333333333333%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 76 25/76 0.32894736842105265%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 14 12/14 0.8571428571428571%
  • 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 Cathy Caruth 70701 Dartmouth English James E. Dobson 5265261 Harvard English Martin Puchner 3233231 Penn English Paul Saint-Amour 3083081 Princeton English Paul Nadal 60601 Yale English Cajetan Iheka 7617612 Brown English Timothy Bewes 1241242 Columbia English Bruce Robbins 4494492 Cornell English Masha Raskolnikov 58582 Dartmouth English Donald E. Pease 4274272 Harvard English Tara K. Menon 25252 Penn English Rahul Mukherjee 1871872 Princeton English Simon Gikandi 27272 Yale English Caleb Smith 4154153 Brown English Kevin E. Quashie 72723 Columbia English Sharon Marcus 2652653 Cornell English Jeremy Braddock 19193 Dartmouth English Aden Evens 15153 Harvard English Daniel Donoghue 20203 Penn English S. Pearl Brilmyer 1021023 Princeton English Jeff Dolven 003 Yale English Jonathan Kramnick 2112114 Brown English Jacques Khalip 34344 Columbia English Dennis Yi Tenen 1421424 Cornell English Mukoma Wa Ngugi 15154 Dartmouth English Matthew Ritger 224 Harvard English Leah Whittington 334 Penn English Melissa E. Sanchez 87874 Princeton English Nigel Smith 004 Yale English John Durham Peters 1231235 Brown English Ralph Rodriguez 33335 Columbia English Julie Stone Peters 52525 Cornell English Elizabeth S. Anker 335 Dartmouth English Andrew L. McCann 115 Harvard English Derek Miller 005 Penn English Zachary Lesser 78785 Yale English Erica Edwards 898912345CitationsRank

Brown EnglishColumbia EnglishCornell EnglishDartmouth EnglishHarvard EnglishPenn EnglishPrinceton EnglishYale English

Rank 5 of 26 at the deepest; 7 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
Deak Nabers 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
Ernesto Quiñonez 1 1/1 1.0% 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 —
Helena María Viramontes 1 1/1 1.0% 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 —
Ishion Hutchinson 1 1/1 1.0% 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 —
Jim Egan 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
John Stauffer 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
Kate McCullough 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
Lyrae Van Clief-Stefanon 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
Mary Pat Brady 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
Nicholas Dames 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
Nigel Smith 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
Samantha Zacher 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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%
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%
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%
Cathy Caruth 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 4/11 0.36363636363636365%
Connie Scozzaro 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 7 6/7 0.8571428571428571%
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%
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%
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%
Jennifer Wenzel 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 11/16 0.6875%
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%
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%
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%
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%
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%
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%
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%
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
Yale English 26 26/26 1.0% 4/26 0.15384615384615385% 23/26 0.8846153846153846% 271 153/271 0.5645756457564576%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 109 82/109 0.7522935779816514%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 57 15/57 0.2631578947368421%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 145 76/145 0.5241379310344828%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 95 56/95 0.5894736842105263%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 45 15/45 0.3333333333333333%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 76 25/76 0.32894736842105265%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 14 12/14 0.8571428571428571%
  • 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 1515Critical InquiryCritical Inquiry 1414PMLA/Publications of the Modern Lang...ciation of AmericaPMLA/Publications of the Modern Language Association of America 1313NOVEL A Forum on FictionNOVEL A Forum on Fiction 1212boundary 2boundary 2 1212American Literary HistoryAmerican Literary History 1212Modern Language QuarterlyModern Language Quarterly 1010Modernism/Modernity Print PlusModernism/Modernity Print Plus 99differencesdifferences 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 77The Cambridge Journal of Postcolonial Literary InquiryThe Cambridge Journal of Postcolonial Literary Inquiry 77051015JournalWorks

The twelve venues highest on this reading, of 236.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Yale English 26 26/26 1.0% 4/26 0.15384615384615385% 23/26 0.8846153846153846% 271 153/271 0.5645756457564576%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 109 82/109 0.7522935779816514%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 57 15/57 0.2631578947368421%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 145 76/145 0.5241379310344828%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 95 56/95 0.5894736842105263%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 45 15/45 0.3333333333333333%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 76 25/76 0.32894736842105265%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 14 12/14 0.8571428571428571%
  • 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.