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

Publications161
Citations58,564
h-index75 · Scholar
Citations per year in post2,662.0
Years in post22 from the CV positions

Coverage

Works with a count139 of 161
Share86%

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 48 venues

The 8 holding the most of these works; 40 more hold at least one.

Journal of the American Statistical Associati…17
Political Analysis17
American Journal of Political Science10
American Political Science Review9
Journal of the Royal Statistical Society Seri…7
Proceedings of the National Academy of Scienc…6
Journal of Statistical Software4
Statistical Science4

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 161 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
2011MatchIt: Nonparametric Preprocessing for Parametric Causal InferenceJournal of Statistical Softwarearticle6,605
2007Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal InferencePolitical Analysisarticle6,021
2014mediation: R Package for Causal Mediation AnalysisJournal of Statistical Softwarearticle5,589
2010A General Approach to Causal Mediation AnalysisPsychological Methodsarticle5,387
2018Redefine Statistical SignificanceNature Human Behaviourarticle3,687
2010Identification, Inference, and Sensitivity Analysis for Causal Mediation EffectsStatistical Sciencearticle2,697
2011Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational DataAmerican Political Science Reviewarticle2,219
2011Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational StudiesAmerican Political Science Reviewarticle2,216
2014Covariate Balancing Propensity ScoreJournal of the Royal Statistical Society Series B (Statisti…article2,103
2008Misunderstandings among Experimentalists and Observationalists: Balance Test Fallacies in Causal InferenceJournal of the Royal Statistical Society Series A (Statisti…article1,400
2004Causal Inference With General Treatment Regimes: Generalizing the Propensity ScoreJournal of the American Statistical Associationarticle1,359
2021On the Use of Two-way Fixed Effects Regression Models for Causal Inference with Panel DataPolitical Analysisarticle1,104
2013Estimating Treatment Effect Heterogeneity in Randomized Program EvaluationThe Annals of Applied Statisticsarticle969
2012Statistical Analysis of List ExperimentsPolitical Analysisarticle923
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
2013Experimental Designs for Identifying Causal MechanismsJournal of the Royal Statistical Society Series A (Statisti…article688
2013Explaining Support for Combatants during Wartime: A Survey Experiment in AfghanistanAmerican Political Science Reviewarticle631
2013Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing ExperimentsPolitical Analysisarticle601
2006Zelig: Everyone's Statistical Software—article579
2018Covariate Balancing Propensity Score for a Continuous Treatment: Application to the Efficacy of Political AdvertisementsThe Annals of Applied Statisticsarticle526
2009Public Policy for the Poor? A Randomized Ten-Month Evaluation of the Mexican Universal Health Insurance ProgramThe Lancetarticle504
2008Toward A Common Framework of Statistical Analysis and DevelopmentJournal of Computational and Graphical Statisticsarticle495
2011Multivariate Regression Analysis for the Item Count TechniqueJournal of the American Statistical Associationarticle481
2009The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance EvaluationStatistical Sciencearticle433
2013Reply to Discussions of “Experimental Designs for Identifying Causal Mechanisms”Journal of the Royal Statistical Society Series A (Statisti…article416
2016Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration RecordPolitical Analysisarticle374
2005A Bayesian Analysis of the Multinomial Probit Model Using Marginal Data AugmentationJournal of Econometricsarticle366
2016An Empirical Validation Study of Popular Survey Methodologies for Sensitive QuestionsAmerican Journal of Political Sciencearticle353
2019Using a Probabilistic Model to Assist Merging of Large-scale Administrative RecordsAmerican Political Science Reviewarticle339
2005Do Get-Out-The-Vote Calls Reduce Turnout? The Importance of Statistical Methods for Field ExperimentsAmerican Political Science Reviewarticle313
2016Misunderstandings about the Regression Discontinuity Design in the Study of Close ElectionsAnnual Review of Political Sciencearticle303
2024Keyword-Assisted Topic ModelsAmerican Journal of Political Sciencearticle296
2015Design and Analysis of the Randomized Response TechniqueJournal of the American Statistical Associationarticle286
2014Comparing and Combining List and Endorsement Experiments: Evidence from AfghanistanAmerican Journal of Political Sciencearticle273
2008Estimating Causal Effects of Ballot Order from a Randomized Natural Experiment: California Alphabet Lottery, 1978–2002Public Opinion Quarterlyarticle268
2007On the Estimation of Disability-Free Life Expectancy: Sullivan’s Method and Its ExtensionJournal of the American Statistical Associationarticle258
2011Statistical Analysis of Endorsement Experiments: Measuring Support for Militant Groups in PakistanPolitical Analysisarticle235
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
2006Randomization Inference with Natural Experiments: An Analysis of Ballot Effects in the 2003 California Recall ElectionJournal of the American Statistical Associationarticle213
2016Fast Estimation of Ideal Points with Massive DataAmerican Political Science Reviewarticle204
2011Estimation of Heterogeneous Treatment Effects from Randomized Experiments, with Application to the Optimal Planning of the Get-out-the-vote CampaignPolitical Analysisarticle200
2007Designing and Analyzing Randomized Experiments: Application to a Japanese Election Survey ExperimentAmerican Journal of Political Sciencearticle163
2015Robust Estimation of Inverse Probability Weights for Marginal Structural ModelsJournal of the American Statistical Associationarticle158
2008Sharp Bounds on the Causal Effects in Randomized Experiments with “Truncation-by-Death”Statistics & Probability Lettersarticle158
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
2008Variance Identification and Efficiency Analysis in Experiments under the Matched-Pair DesignStatistics in Medicinearticle139
2010Causal Inference with Differential Measurement Error: Nonparametric Identification and Sensitivity AnalysisAmerican Journal of Political Sciencearticle137
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
2015Coethnic Bias and Wartime InformingThe Journal of Politicsarticle117
2012A Statistical Method for Empirical Testing of Competing TheoriesAmerican Journal of Political Sciencearticle117
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
2005MNP: R Package for Fitting the Multinomial Probit ModelJournal of Statistical Softwarearticle100
2015Using the Predicted Responses from List Experiments as Explanatory Variables in Regression ModelsPolitical Analysisarticle94
2019List Experiments with Measurement ErrorPolitical Analysisarticle93
2023Principal Fairness for Human and Algorithmic Decision-MakingStatistical Sciencearticle84
2011Commentary: Using Potential Outcomes to Understand Causal Mediation AnalysisMultivariate Behavioral Researcharticle80
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
2004Did Illegally Counted Overseas Absentee Ballots Decide the 2000 U.S. Presidential Election?Digital Access to Scholarship at Harvard (DASH) (Harvard Un…article69
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
2008Bayesian and Likelihood Ecological Inference for 2 × 2 Tables: An Incomplete Data ApproachPolitical Analysisarticle60
2014Comment on Pearl: Practical Implications of Theoretical Results for Causal Mediation AnalysisPsychological Methodsarticle56
2014Commentary: Practical implications of theoretical results for causal mediation analysisDSpace@MIT (Massachusetts Institute of Technology)article56
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
2009Statistical analysis of randomized experiments with non‐ignorable missing binary outcomes: an application to a voting experimentJournal of the Royal Statistical Society Series C (Applied…article42
2024Evaluating Bias and Noise Induced by the U.S. Census Bureau’s Privacy Protection MethodsScience Advancesarticle41
2007Ls: Least Squares Regression for Continuous Dependent Variables—article40
2023Automated Coding of Political Campaign Advertisement Videos: An Empirical Validation StudyPolitical Analysisarticle36
2024Using Machine Learning to Test Causal Hypotheses in Conjoint AnalysisPolitical Analysisarticle35
2009Statistical Analysis of Randomized Experiments with Nonignorable Missing Binary Outcomes: An Application to a Voting ExperimentJournal of the Royal Statistical Society Series C (Applied…article34
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
2011eco: R Package for Ecological Inference in 2x2 TablesRePEc: Research Papers in Economicsarticle33
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
2011Stuart Ea. MatchIt: nonparametric preprocessing for parametric causal inference—article22
2023Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized ExperimentsBiometricsarticle21
2009Matched Pairs and the Future of Cluster-Randomized Experiments: A RejoinderStatistical Sciencearticle17
2011eco: R Package for Ecological Inference in 2 × 2 TablesJournal of Statistical Softwarearticle16
2023Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance SystemHarvard Data Science Reviewarticle15
2004MatchIt—article15
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
2008Causal Inference with Measurement Error: Nonparametric Identification and Sensitivity Analyses of a Field Experiment on Democratic Deliberations—article14
2007Negbin: Negative binomial regression for event count dependent variables—article13
2023Making Differential Privacy Work for Census Data UsersHarvard Data Science Reviewarticle12
2011Introduction to the Virtual Issue: Past and Future Research Agenda on Causal InferencePolitical Analysisarticle12
1987Structure and Function of a New Hemoglobin Variant, Hb Meilahti (α2β2 36(C2)Pro→Thr), Characterized by Mass Spectrometry—article12
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
1998Survey sampling—article9
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
2007The Zelig Package—article7
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
2013Zelig v4. 0-10 Core Model Reference Manual—article3
2011Descriptive Statistics—article3
2006GARY KING—article3
2005An Incomplete Data Approach to the Ecological Inference Problem—article3
2004Parametric and Nonparametric Bayesian Models for Ecological Inference in 2 ◊ 2 Tables—article3
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
2012Comments: Improving Weighting Methods for Causal Mediation AnalysisJournal of Research on Educational Effectivenessarticle2
2010Measuring Party Inuence on Legislative Agendas with \Noisy" Data: The Case of the U.S. House, 1789 { 2010—article2
2006Performance improvement of CMOS device utilizing poly-Si/HfSiON gate stack and its reliability concern for 65 nm technology and beyondMaterials Science in Semiconductor Processingarticle1
2006Applications and Case Studies-Randomization Inference With Natural Experiments: An Analysis of Ballot Effects in the 2003 California Recall ElectionJournal of the American Statistical Associationarticle1
2005Seisaku Jy¯oh¯o to T¯ohy¯o Sanka: Field Jikken ni yoru Kensy¯o (Policy Information and Voter Participation: A Field Experiment)The Annuals of Japanese Political Science Associationarticle1
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
2015Usando as respostas previs´ıveis da abordagem list-experiments como variaveis explicativ´as em modelos de regress˜aoRevista Debatesarticle0
2026Leveraging generative AI for causal inference with unstructured dataProceedings of the National Academy of Sciencesarticle—
2025Nihon wa Data Science Senshinkoku wo Mezase—article—
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—
2015Interaction Eects and Causal Heterogeneity—article—
2009Mere Measurement, Implementation Intentions, and Voter TurnoutACR North American Advancesarticle—
2009FAST BREAKING PAPERS-2008—article—
2008Misunderstandings between experimentalists and observationalists about causal inference 512: Y—article—
2007Keiry¯o Seijigaku niokeru Ingateki Suiron (Causal Inference in Quantitative Political Science)Leviathanarticle—
2006Nonparametric Estimation of Disability-Free Life Expectancy Using Period Life Table and Cross-Sectional Disability Survey—article—
2006E-MRS Symposium L: Characterization of high-k dielectric materialsMaterials Science in Semiconductor Processingarticle—
1999Merits of CMOS/SIMOX technology for low-voltage SRAM macros—article—
1996Characterization of MBE-ZnSe/GaAs Substrate Interface Properties and Their Control—article—
1983STIMULATION OF SCIATIC-NERVE AND CAT SPINAL-CORD BY PULSE MAGNETIC-FIELDSElectroencephalography and Clinical Neurophysiologyarticle—
1983Circulating Immune Complexes in Toxemia of Pregnancy: XIX Immunology (IV)—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—