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
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Academic

Kosuke Imai

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Academic

RankFull
As of2025 · CV
DepartmentHarvard Government
UniversityHarvard
FieldPolitical Science
Scholarprofile

Totals

Publications81
Citations10,987
h-index75 · Scholar
Citations per year in post499.4
Years in post22 from the CV positions

Coverage

Works with a count69 of 81
Share85%

Positions

Academic Visitor, Nuffield College, Universit…2024–2025
Professor, Department of Government and Depar…2018–
Professor of Visiting Status, Graduate School…2016–2023
Professor, Department of Politics and Center…2013–2018
Founding Director2013–2017
Associate Professor, Department of Politics,…2012–2013
Visiting Researcher, Faculty of Economics, Th…2006–2006
Assistant Professor, Department of Politics,…2004–2012
and 1 more

Top venues 30 venues

The 8 holding the most of these works; 22 more hold at least one.

Journal of the American Statistical Associati…10
Political Analysis8
Proceedings of the National Academy of Scienc…6
American Journal of Political Science5
American Political Science Review4
Journal of the Royal Statistical Society Seri…4
Harvard Data Science Review3
Science Advances3

Publications per year

Works this academic published in each year, by the year each work appeared; an undated work is in no year, and a work two colleagues wrote counts for each of them. The kind, works and year filters decide which works are here at all.

Citations per year

Citations received in each year, from this academic’s verified Scholar profile, which counts every citation to everything they ever wrote: no publication filter reaches this line - not the kinds, not the works switch, not the year window on publication - and no journal weight either. It is a profile total, so it does not match the works listed below.

Publications 81 works

Every work these filters select, most cited first and the works with no count at the end: a work nobody has a figure for is unknown, never a zero to be ranked among the works that have one, and it prints an em dash. Each figure is that work’s own citations - Scholar’s count where there is one, else OpenAlex’s - and is not weighted.

YearTitleVenueKindCitations
2018Redefine Statistical SignificanceNature Human Behaviourarticle3,687
2021On the Use of Two-way Fixed Effects Regression Models for Causal Inference with Panel DataPolitical Analysisarticle1,104
2023Matching Methods for Causal Inference with Time-Series Cross-Sectional DataAmerican Journal of Political Sciencearticle700
2019When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?American Journal of Political Sciencearticle698
2018Covariate Balancing Propensity Score for a Continuous Treatment: Application to the Efficacy of Political AdvertisementsThe Annals of Applied Statisticsarticle526
2019Using a Probabilistic Model to Assist Merging of Large-scale Administrative RecordsAmerican Political Science Reviewarticle339
2024Keyword-Assisted Topic ModelsAmerican Journal of Political Sciencearticle296
2019Causal Interaction in Factorial Experiments: Application to Conjoint AnalysisJournal of the American Statistical Associationarticle234
2021Improving the External Validity of Conjoint Analysis: The Essential Role of Profile DistributionPolitical Analysisarticle230
2021The Use of Differential Privacy for Census Data and its Impact on Redistricting: The Case of the 2020 U.S. CensusScience Advancesarticle224
2017Quantitative Social Science: An Introduction—book183
2020Do Nonpartisan Programmatic Policies Have Partisan Electoral Effects? Evidence from Two Large Scale Randomized ExperimentsThe Journal of Politicsarticle154
2020Automated Redistricting Simulation Using Markov Chain Monte CarloJournal of Computational and Graphical Statisticsarticle142
2020Can Economic Assistance Shape Combatant Support in Wartime? Experimental Evidence from Afghanistan.American Political Science Reviewarticle134
2020Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity ScoreBiometrikaarticle127
2017Can Civilian Attitudes Predict Insurgent Violence? Ideology and Insurgent Tactical Choice in Civil WarJournal of Peace Researcharticle122
2023Sequential Monte Carlo for Sampling Balanced and Compact Redistricting PlansThe Annals of Applied Statisticsarticle106
2021Causal Inference with Interference and Noncompliance in the Two-Stage Randomized ExperimentsJournal of the American Statistical Associationarticle105
2023Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Risk Assessment InstrumentJournal of the Royal Statistical Society Series A (Statisti…article102
2019List Experiments with Measurement ErrorPolitical Analysisarticle93
2023Principal Fairness for Human and Algorithmic Decision-MakingStatistical Sciencearticle84
2023Widespread Partisan Gerrymandering Mostly Cancels Nationally, but Reduces Electoral CompetitionProceedings of the National Academy of Sciencesarticle78
2022Causal Inference with Spatio-temporal Data: Estimating the Effects of Airstrikes on Insurgent Violence in IraqJournal of the Royal Statistical Society Series B (Statisti…article78
2022Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplementsScience Advancesarticle78
2019Validating Self-reported Turnout by Linking Public Opinion Surveys with Administrative RecordsPublic Opinion Quarterlyarticle78
2024Policy Learning with Counterfactual Asymmetric UtilitiesJournal of the American Statistical Associationarticle75
2020Propensity-Score Based Methods for Causal Inference in Observational Studies with Non-Binary TreatmentsStatistical Methods in Medical Researcharticle75
2023Experimental Evaluation of Individualized Treatment RulesJournal of the American Statistical Associationarticle73
2022Simulated redistricting plans for the analysis and evaluation of redistricting in the United States: 50stateSimulationsScientific Dataarticle68
2025Safe Policy Learning through Extrapolation: Application to Pre-trial Risk AssessmentJournal of the American Statistical Associationarticle65
2023Race and ethnicity data for first, middle, and last namesScientific Dataarticle61
2023Optimal Covariate Balancing Conditions in Propensity Score EstimationJournal of Business and Economic Statisticsarticle61
2020The Essential Role of Empirical Validation in Legislative Redistricting SimulationStatistics and Public Policyarticle55
2021Robustness of Empirical Evidence for the Democratic Peace: A Nonparametric Sensitivity AnalysisInternational Organizationarticle53
2025Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized ExperimentsJournal of Business and Economic Statisticsarticle50
2025Does AI help humans make better decisions? A methodological framework for experimental evaluationProceedings of the National Academy of Sciencesarticle50
2025Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studiesProceedings of the National Academy of Sciencesarticle48
2020Measuring Trade Profile with Granular Product-level Trade DataAmerican Journal of Political Sciencearticle45
2020Sensitive Survey Questions with Auxiliary InformationSociological Methods & Researcharticle43
2022Dynamic Stochastic Blockmodel Regression for Social Networks: Application to International ConflictsJournal of the American Statistical Associationarticle42
2024Evaluating Bias and Noise Induced by the U.S. Census Bureau’s Privacy Protection MethodsScience Advancesarticle41
2023Automated Coding of Political Campaign Advertisement Videos: An Empirical Validation StudyPolitical Analysisarticle36
2024Using Machine Learning to Test Causal Hypotheses in Conjoint AnalysisPolitical Analysisarticle35
2025Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint AnalysisThe Annals of Applied Statisticsarticle33
2025Estimating Racial Disparities When Race is Not ObservedJournal of the American Statistical Associationarticle33
2025Priming bias versus post-treatment bias in experimental designsPolitical Analysisarticle28
2019Comment: The challenges of multiple causesJournal of the American Statistical Associationarticle27
2025Estimating Average Treatment Effects with Support Vector MachinesStatistics in Medicinearticle24
2023Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized ExperimentsBiometricsarticle21
2023Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance SystemHarvard Data Science Reviewarticle15
2025Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam WarJournal of the Royal Statistical Society Series A (Statisti…article14
2024Measuring and Modeling NeighborhoodsAmerican Political Science Reviewarticle14
2019Comment: The Challenges of Multiple CausesJournal of the American Statistical Associationarticle14
2023Making Differential Privacy Work for Census Data UsersHarvard Data Science Reviewarticle12
2022Quantitative Social Science: An Introduction in Tidyverse—book12
2020Identification and Sensitivity Analysis of Contagion Effects with Randomized Placebo-Controlled TrialsJournal of the Royal Statistical Society Series A (Statisti…article11
2026Redistricting Reforms Reduce Gerrymandering by Constraining Partisan ActorsAmerican Political Science Reviewarticle10
2024A Summer Bridge Program for First-Generation Low-Income Students Stretches Academic Ambitions with No Adverse Impacts on GPAProceedings of the National Academy of Sciencesarticle8
2025Using AI to Summarize US Presidential Campaign TV Advertisement Videos, 1952-2012Scientific Dataarticle6
2025A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States SenatePolitical Analysisarticle6
2018A Sensitivity Analysis for Missing Outcomes Due to Truncation-by-Death under the Matched-Pairs DesignStatistics in Medicinearticle6
2023Researchers need better access to US Census dataSciencearticle4
2024Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment RulesJournal of Causal Inferencearticle3
2025A Comment on: Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Im…Econometricaarticle2
2024Rejoinder: We Can Improve the Usability of the Census Noisy Measurements FileHarvard Data Science Reviewarticle2
2024Census officials must constructively engage with independent evaluationsProceedings of the National Academy of Sciencesarticle2
2017A First Course in Quantitative Social Science—book2
2023Authors’ Reply to the Discussion of ‘Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment’Journal of the Royal Statistical Society Series A (Statisti…article0
202314th Annual University of Pennsylvania Conference on statistical issues in clinical trials/subgroup analysis in clinical trials: Opportunities and challenges (…Clinical Trialsarticle0
2026Leveraging generative AI for causal inference with unstructured dataProceedings of the National Academy of Sciencesarticle—
2025Nihon wa Data Science Senshinkoku wo Mezase—article—
2022Data Analysis for Social Science: A Friendly and Practical Introduction—book—
2022Experimental Design and Statistical Inference for Conjoint Analysis: The Essential Role of Population DistributionPolitical Analysisarticle—
2022Dynamic stochastic blockmodel regression for network data: Application to international militarized conflictsJournal of the American Statistical Associationarticle—
2021抗 V5 抗体を用いてウエスタンブロッティングを行った.[結果] 1) バリアント頻度と in silico 解析: E192K および Q709R は gnomAD および ToMMo には未登録であった. 登録されていた I310T のアレル頻度は …—article—
2020Matching Methods for Causal Inference with Time-Series Cross-Sectional Data [R package PanelMatch version 1.0.0]American Journal of Political Sciencearticle—
2019Weighted Linear Fixed Effects Regression Models for Causal Inference [R package wfe version 1.9.1]—article—
2019Package ‘FindIt’—article—
2018The 2014 Redesign of the Survey of Income and Program Participation: An Assessment—article—
—Ippyo no Kakusa: Algorithm de Kaizen Dekiru—article—
—Gerring, John. 2011. Social Science Methodology: A Criterial Frame work, Cambridge: Cambridge University Press. Gerring, John and Jason Seawright. 2008.“Case-S…Social Sciencesarticle—