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 12 academics 806
2 Princeton English 4 academics 289
3 Dartmouth English 5 academics 273
4 Penn English 10 academics 261
5 Cornell English 20 academics 232
6 Yale English 26 academics 184
7 Harvard English 7 academics 170
8 Brown English 24 academics 110

28,056 citations over 1,257 of 2,203 works (57% carry a count). 98 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% 544 327/544 0.6011029411764706%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 336 248/336 0.7380952380952381%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 407 113/407 0.27764127764127766%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 382 242/382 0.6335078534031413%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 188 121/188 0.6436170212765957%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 121 59/121 0.48760330578512395%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 142 82/142 0.5774647887323944%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 83 65/83 0.7831325301204819%
  • 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% 544 327/544 0.6011029411764706%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 336 248/336 0.7380952380952381%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 407 113/407 0.27764127764127766%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 382 242/382 0.6335078534031413%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 188 121/188 0.6436170212765957%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 121 59/121 0.48760330578512395%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 142 82/142 0.5774647887323944%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 83 65/83 0.7831325301204819%
  • 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% 544 327/544 0.6011029411764706%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 336 248/336 0.7380952380952381%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 407 113/407 0.27764127764127766%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 382 242/382 0.6335078534031413%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 188 121/188 0.6436170212765957%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 121 59/121 0.48760330578512395%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 142 82/142 0.5774647887323944%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 83 65/83 0.7831325301204819%
  • 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 3.5DistinguishedFullAssociateAssistantMedian 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% 544 327/544 0.6011029411764706%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 336 248/336 0.7380952380952381%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 407 113/407 0.27764127764127766%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 382 242/382 0.6335078534031413%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 188 121/188 0.6436170212765957%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 121 59/121 0.48760330578512395%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 142 82/142 0.5774647887323944%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 83 65/83 0.7831325301204819%
  • 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 Simon Gikandi 9821 Yale English John Durham Peters 12992 Brown English Amanda Anderson 5402 Columbia English Sharon Marcus 34682 Cornell English George Hutchinson 1642 Dartmouth English Donald E. Pease 5642 Harvard English Elaine Scarry 4042 Penn English James English 6762 Princeton English Nigel Smith 1152 Yale English Caleb Smith 10153 Brown English Ellen Rooney 3663 Columbia English Jennifer Wenzel 12233 Cornell English Laura Brown 1203 Dartmouth English Andrew L. McCann 873 Harvard English John Stauffer 713 Penn English Zachary Lesser 5193 Princeton English Paul Nadal 603 Yale English Ruth Yeazell 6084 Brown English Philip Gould 1934 Columbia English Julie Stone Peters 2274 Cornell English Elizabeth S. Anker 1154 Dartmouth English Aden Evens 774 Harvard English Daniel Donoghue 354 Penn English Rahul Mukherjee 1884 Princeton English Jeff Dolven 04 Yale English Jonathan Kramnick 3935 Brown English Marc Redfield 1755 Columbia English Nicholas Dames 2125 Cornell English Elisha Cohn 925 Dartmouth English Matthew Ritger 25 Harvard English Tara K. Menon 255 Penn English Melissa E. Sanchez 1825 Yale English Stephanie Newell 31312345CitationsRank

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
Caryl Phillips 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
Jeff Dolven 1 1/1 1.0% 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%
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%
Cathy Caruth 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 50 29/50 0.58%
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% 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%
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%
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%
Jennifer Wenzel 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 35 25/35 0.7142857142857143%
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%
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%
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 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%
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%
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%
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%
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%
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
Yale English 26 26/26 1.0% 4/26 0.15384615384615385% 23/26 0.8846153846153846% 544 327/544 0.6011029411764706%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 336 248/336 0.7380952380952381%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 407 113/407 0.27764127764127766%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 382 242/382 0.6335078534031413%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 188 121/188 0.6436170212765957%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 121 59/121 0.48760330578512395%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 142 82/142 0.5774647887323944%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 83 65/83 0.7831325301204819%
  • 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 6262boundary 2boundary 2 4141NOVEL A Forum on FictionNOVEL A Forum on Fiction 4040ELHELH 3333Critical InquiryCritical Inquiry 3030American Literary HistoryAmerican Literary History 3030differencesdifferences 2525RepresentationsRepresentations 2222Modern Language QuarterlyModern Language Quarterly 2121Victorian StudiesVictorian Studies 2121American LiteratureAmerican Literature 2020New Literary HistoryNew Literary History 1919Social TextSocial Text 1818Research in African LiteraturesResearch in African Literatures 1818London review of booksLondon review of books 171702550JournalWorks

The twelve venues highest on this reading, of 482.

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% 544 327/544 0.6011029411764706%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 336 248/336 0.7380952380952381%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 407 113/407 0.27764127764127766%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 382 242/382 0.6335078534031413%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 188 121/188 0.6436170212765957%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 121 59/121 0.48760330578512395%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 142 82/142 0.5774647887323944%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 83 65/83 0.7831325301204819%
  • 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.