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

Academicshere

Departments

  • 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.

Value Measure

Academics

Citations per year in post (from the first professorial appointment, else the PhD year) · the 15 highest of 36 academics
1 Sharon Marcus Columbia English · Distinguished · 32 years in post 108.4
2 Bruce Robbins Columbia English · Distinguished · 42 years in post 103.6
3 Cathy Caruth Cornell English · Distinguished · 40 years in post 96.9
4 John Durham Peters Yale English · Distinguished · 40 years in post 32.5
5 Paul Saint-Amour Penn English · Distinguished · 29 years in post 26.1
6 Timothy Bewes Brown English · Distinguished · 22 years in post 25.8
7 Simon Gikandi Princeton English · Distinguished · 40 years in post 24.6
8 Martin Puchner Harvard English · Distinguished · 28 years in post 22.0
9 Zachary Lesser Penn English · Distinguished · 25 years in post 20.8
10 James English Penn English · Distinguished · 38 years in post 17.8
11 Amanda Anderson Brown English · Distinguished · 37 years in post 14.6
12 Elaine Scarry Harvard English · Distinguished · 29 years in post 13.9
13 Jonathan Kramnick Yale English · Distinguished · 31 years in post 12.7
14 Ruth Yeazell Yale English · Distinguished · 55 years in post 11.1
15 Donald E. Pease Dartmouth English · Distinguished · 53 years in post 10.6

22,570 citations over 762 of 1,219 works (63% carry a count). 34 of 36 academics have at least one counted work. A work with no citation count is unknown here, never a zero.

Publications by career year

Publications in each year of a career
Measure

Pooled over the 34 of 36 academics whose CV states a PhD year, across 8 departments; career year 0 is the PhD year. A career year fewer than 5 of them have reached is a gap. A total counts only the academics who had reached that career year, so the tail is low because fewer of them are in it; the mean and the median divide by exactly those academics.

What these filters select, over everything selected not what the graph divided by
Selected Academics CVScholarOpenAlex Works With a count
Everything selected 36 36/36 1.0% 10/36 0.2777777777777778% 34/36 0.9444444444444444% 1219 762/1219 0.6251025430680885%
  • 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 by career year

Citations of the works published in each career year
Value Measure

Pooled over the 34 of 36 academics whose CV states a PhD year, across 8 departments; career year 0 is the PhD year. A career year fewer than 5 of them have reached is a gap. The citations of the works published in that career year, not the citations received in it. A total counts only the academics who had reached that career year, so the tail is low because fewer of them are in it; the mean and the median divide by exactly those academics.

What these filters select, over everything selected not what the graph divided by
Selected Academics CVScholarOpenAlex Works With a count
Everything selected 36 36/36 1.0% 10/36 0.2777777777777778% 34/36 0.9444444444444444% 1219 762/1219 0.6251025430680885%
  • 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.

Publications per year

Works published in each year
Each point

One line over the 36 academics the filters select, by the year each work was published; an undated work is in no year. A work two colleagues share counts once for their department.

What these filters select, per academic not what the graph divided by
Academic Academics CVScholarOpenAlex Works With a count
Al Filreis 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 23 0/23 0.0%
Marc Robinson 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 45 0/45 0.0%
Amanda Anderson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 25 20/25 0.8%
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%
Bruce Robbins 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 198 116/198 0.5858585858585859%
Cathy Caruth 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 50 29/50 0.58%
Daniel Donoghue 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 20 8/20 0.4%
David Bromwich 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 29 6/29 0.20689655172413793%
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%
Ellen Rooney 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 18 15/18 0.8333333333333334%
George Hutchinson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 18 11/18 0.6111111111111112%
James English 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 30 19/30 0.6333333333333333%
John Durham Peters 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 70 58/70 0.8285714285714286%
Jonathan Kramnick 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 28 20/28 0.7142857142857143%
Julie Stone Peters 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 10/12 0.8333333333333334%
Katie Trumpener 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 25 14/25 0.56%
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%
Leela Gandhi 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 17 7/17 0.4117647058823529%
Marc Redfield 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 32 19/32 0.59375%
Martin Puchner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 45 28/45 0.6222222222222222%
Melissa E. Sanchez 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 21 18/21 0.8571428571428571%
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%
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%
Richard Rambuss 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 10/11 0.9090909090909091%
Ruth Yeazell 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 45 27/45 0.6%
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%
Timothy Bewes 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 45 33/45 0.7333333333333333%
Zachary Lesser 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 12/13 0.9230769230769231%
  • 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 per year

Citations received in each year
Value Each point

One line over the 36 academics the filters select. Citations received in each year by the works these filters select. A year no record covers is a gap, never a year of no citations.

What these filters select, per academic not what the graph divided by
Academic Academics CVScholarOpenAlex Works With a count
Al Filreis 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 23 0/23 0.0%
Marc Robinson 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 45 0/45 0.0%
Amanda Anderson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 25 20/25 0.8%
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%
Bruce Robbins 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 198 116/198 0.5858585858585859%
Cathy Caruth 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 50 29/50 0.58%
Daniel Donoghue 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 20 8/20 0.4%
David Bromwich 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 29 6/29 0.20689655172413793%
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%
Ellen Rooney 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 18 15/18 0.8333333333333334%
George Hutchinson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 18 11/18 0.6111111111111112%
James English 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 30 19/30 0.6333333333333333%
John Durham Peters 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 70 58/70 0.8285714285714286%
Jonathan Kramnick 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 28 20/28 0.7142857142857143%
Julie Stone Peters 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 10/12 0.8333333333333334%
Katie Trumpener 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 25 14/25 0.56%
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%
Leela Gandhi 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 17 7/17 0.4117647058823529%
Marc Redfield 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 32 19/32 0.59375%
Martin Puchner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 45 28/45 0.6222222222222222%
Melissa E. Sanchez 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 21 18/21 0.8571428571428571%
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%
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%
Richard Rambuss 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 10/11 0.9090909090909091%
Ruth Yeazell 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 45 27/45 0.6%
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%
Timothy Bewes 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 45 33/45 0.7333333333333333%
Zachary Lesser 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 12/13 0.9230769230769231%
  • 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.

h-index

Academics at each h-index
Series: Academics.0510155–9 Academics 131310–19 Academics 151520–39 Academics 665–910–1920–39Academicsh-index

The verified Scholar profile’s h-index where there is one, else computed from the OpenAlex citations of the academic’s CV works (definitions section 6): Scholar for 10 academics, OpenAlex citations of CV works for 24, 2 with no h-index. Never OpenAlex’s author-level figure, and no filter here moves it.

What these filters select, over everything selected not what the graph divided by
Selected Academics CVScholarOpenAlex Works With a count
Everything selected 36 36/36 1.0% 10/36 0.2777777777777778% 34/36 0.9444444444444444% 1219 762/1219 0.6251025430680885%
  • 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 rank

Academics at each current rank
Series: value.DistinguishedDistinguished 36360102030RankAcademics

The current rank of every academic the filters keep (definitions section 7). A rank is current as of the CV, so no year window or publication type moves it.

What these filters select, over everything selected not what the graph divided by
Selected Academics CVScholarOpenAlex Works With a count
Everything selected 36 36/36 1.0% 10/36 0.2777777777777778% 34/36 0.9444444444444444% 1219 762/1219 0.6251025430680885%
  • 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.

Top collaborators

Works two of the selected academics both hold

Nothing to draw under these filters.

None of the 36 academics these filters select shares a selected work with another of them. That is a fact about this selection and not about their collaborators: a work written with somebody outside it is a work this page counts and cannot pair.

What these filters select, over everything selected not what the graph divided by
Selected Academics CVScholarOpenAlex Works With a count
Everything selected 36 36/36 1.0% 10/36 0.2777777777777778% 34/36 0.9444444444444444% 1219 762/1219 0.6251025430680885%
  • 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.
First Second

Pick two academics to see how many of the selected works they share.