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.

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Academic

Andrew Gelman

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Academic

RankDistinguished
As of2026 · CV
DepartmentColumbia Political Science
UniversityColumbia
FieldPolitical Science
Scholarprofile

Totals

Publications179
Citations43,760
h-index141 · Scholar
Citations per year in post1,215.6
Years in post36 from the CV positions

Coverage

Works with a count159 of 179
Share89%

Positions

Higgins Professor of Statistics, Columbia Uni…2017–
Alliance Visiting Professor, Sciences Po, Par…2009–2010
Visiting Professor, Department of Statistics,…2008–2012
Founding Director, Applied Statistics Center,…2006–
Professor, Department of Political Science, C…2002–
Professor, Department of Statistics, Columbia…2000–
Faculty Fellow, Institute for Social and Econ…1999–
Founding Director, Quantitative Methods in So…1998–2002
and 4 more

Top venues 91 venues

The 8 holding the most of these works; 83 more hold at least one.

Bayesian Analysis9
arXiv (Cornell University)7
Harvard Data Science Review7
The American Statistician7
CHANCE5
Proceedings of the National Academy of Scienc…5
Statistics and Public Policy5
Journal of the Royal Statistical Society Seri…4

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 179 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
2017Stan: A probabilistic programming languageJournal of Statistical Softwarearticle10,846
2017Practical Bayesian model evaluation using leave-one-out cross-validation and WAICStatistics and Computingarticle7,838
2021Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMCBayesian Analysisarticle3,065
2019Why high-order polynomials should not be used in regression discontinuity designsJournal of Business and Economic Statisticsarticle2,692
2021Bayesian statistics and modellingNature Reviews Methods Primersarticle1,628
2019Visualization in Bayesian workflow (with discussion and rejoinder)Journal of the Royal Statistical Society Series A (Statisti…article1,519
2019Abandon statistical significanceHAL (Le Centre pour la Communication Scientifique Directe)article1,394
2018R-squared for Bayesian regression modelsThe American Statisticianarticle1,207
2017Automatic differentiation variational inferencearXiv (Cornell University)article1,207
2020Regression and Other StoriesCambridge University Press eBooksbook1,111
2018Using stacking to average Bayesian predictive distributions (with discussion and rejoinder)Bayesian Analysisarticle896
2017Measurement error and the replication crisisSciencearticle867
2017The prior can often only be understood in the context of the likelihoodEntropyarticle806
2026Bayesian Workflowbook751
2024Pareto smoothed importance samplingarXiv (Cornell University)article659
2018Global shifts in the phenological synchrony of species interactions over recent decadesProceedings of the National Academy of Sciencesarticle558
2017Beyond subjective and objective in statistics (with discussion and rejoinder)Journal of the Royal Statistical Society Series A (Statisti…article354
2019Bayesian hierarchical spatial models: Implementing the Besag York Mollié model in StanSpatial and Spatio-temporal Epidemiologyarticle270
2018The statistical significance filter leads to overconfident expectations of replicabilityJournal of Memory and Languagearticle257
2021Community prevalence of SARS-CoV-2 in England: Results from the ONS Coronavirus Infection Survey PilotThe Lancet Public Healtharticle239
2020Expectation propagation as a way of life: A framework for Bayesian inference on partitioned dataAaltodoc (Aalto University)article236
2022No reason to expect large and consistent effects of nudge interventionsProceedings of the National Academy of Sciencesarticle208
2020A Consensus-based Transparency ChecklistNature Human Behaviourarticle206
2018Sexual Assault and Sexual Harassment in the U.S. Military: Volume 5. Estimates for Installation- and Command-Level Risk of Sexual Assault and Sexual Harassment…RAND Corporation eBooksbook204
2018The failure of null hypothesis significance testing when studying incremental changes, and what to do about itPersonality and Social Psychology Bulletinarticle195
2023The Great Society, Reagan’s revolution, and generations of presidential votingAmerican Journal of Political Sciencearticle183
2020Bayesian analysis of tests with unknown specificity and sensitivityJournal of the Royal Statistical Society Series C (Applied…article182
2018You need 16 times the sample size to estimate an interaction than to estimate a main effectarticle180
2019Large scale replication projects in contemporary psychological researchThe American Statisticianarticle149
2017Five ways to fix statisticsNaturearticle147
2018Disentangling bias and variance in election pollsJournal of the American Statistical Associationarticle146
2017Some natural solutions to the p-value communication problem—and why they won’t workJournal of the American Statistical Associationarticle126
2019Are confidence intervals better termed “uncertainty intervals”?BMJarticle124
2021What are the most important statistical ideas of the past 50 years?Journal of the American Statistical Associationarticle123
2019Don’t calculate post-hoc power using observed estimate of effect sizeAnnals of Surgeryarticle120
2025Visualizing distributions of covariance matricesJournal of Data Science Statistics and Visualisationarticle114
2025Simulation-based calibration checking for Bayesian computation: The choice of test quantities shapes sensitivityBayesian Analysisarticle107
2022Stacking for non-mixing Bayesian computations: The curse and blessing of multimodal posteriorsarXiv (Cornell University)article107
2022Pathfinder: Parallel quasi-Newton variational inferencearXiv (Cornell University)article96
2022Bayesian hierarchical stacking: Some models are (somewhere) usefulBayesian Analysisarticle95
2021Designing for interactive exploratory data analysis requires theories of graphical inference (with discussion and rejoinder)Harvard Data Science Reviewarticle91
2021How to embrace variation and accept uncertainty in linguistic and psycholinguistic data analysisLinguisticsarticle88
2018The Millennium Villages Project: A retrospective, observational, endline evaluationThe Lancet Global Healtharticle87
2019Limitations of “Limitations of Bayesian leave-one-out cross-validation for model selection.”Computational Brain & Behaviorarticle86
2021Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed samplePsychological Methodsarticle85
2020Discussion points for Bayesian inferenceNature Human Behaviourarticle81
2021Improving multilevel regression and poststratification with structured priorsBayesian Analysisarticle80
2021Holes in Bayesian statisticsJournal of Physics G Nuclear and Particle Physicsarticle73
2017Exploring the relationships between USMLE performance and disciplinary action in practice: A validity study of score inferences from a licensure examinationAcademic Medicinearticle70
2020Bayesian hierarchical weighting adjustment and survey inferencearXiv (Cornell University)article64
2021A simple explanation for declining temperature sensitivity with warmingGlobal Change Biologyarticle61
2024A new look at p-values for randomized clinical trialsNEJM Evidencearticle60
2017The statistical crisis in science: How is it relevant to clinical neuropsychology?The Clinical Neuropsychologistarticle58
2024Past, present, and future of software for Bayesian inferenceStatistical Sciencearticle56
2018Bayesian inference under cluster sampling with probability proportional to sizearXiv (Cornell University)article56
2024Nested R-hat: Assessing the convergence of Markov chain Monte Carlo when running many short chainsBayesian Analysisarticle54
2019Multiple perspectives on inference for two simple statistical scenariosThe American Statisticianarticle50
201719 things we learned from the 2016 election (with discussion and rejoinder)Statistics and Public Policyarticle50
2017Honesty and transparency are not enoughCHANCEarticle47
2021Accounting for uncertainty during a pandemicPatternsarticle46
2019Childhood obesity intervention studies: A narrative review and guide for investigators, authors, editors, reviewers, journalists, and readers to guard against…Obesity Reviewsarticle46
2018Ethics in statistical practice and communication: Five recommendationsSignificancearticle46
2020Information, incentives, and goals in election forecastsJudgment and Decision Makingarticle45
2020An updated dynamic Bayesian forecasting model for the 2020 electionHarvard Data Science Reviewarticle45
2020Voter registration databases and MRP: Toward the use of large scale databases in public opinion researchPolitical Analysisarticle43
2018Gaydar and the fallacy of decontextualized measurementSociological Sciencearticle43
2021Failure and success in political polling and election forecastingStatistics and Public Policyarticle37
2025The piranha problem: Large effects swimming in a small pondNotices of the American Mathematical Societyarticle36
2022A proposal for informative default priors scaled by the standard error of estimatesThe American Statisticianarticle36
2020Type M error might explain Weisburd’s ParadoxJournal of Quantitative Criminologyarticle36
2018Benefits and limitations of randomized controlled trials. Discussion of “Understanding and misunderstanding randomized controlled trials,” by Angus Deaton and N…Social Science & Medicinearticle31
2018Bayesian aggregation of average data: An application in drug developmentThe Annals of Applied Statisticsarticle31
2024Using leave-one-out cross-validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary taleStatistics in Medicinearticle29
2018Don’t characterize replications as successes or failures. Discussion of “Making replication mainstream,” by Rolf A. Zwaan et al.Behavioral and Brain Sciencesarticle27
2023Toward a taxonomy of trust for probabilistic machine learningScience Advancesarticle26
2020Fallout of lead over Paris from the 2019 Notre-Dame cathedral fireGeoHealtharticle26
2017Teaching Statistics: A Bag of Tricks, second editionOxford University Press eBooksbook26
2024Bayesian workflow for time-varying transmission in stratified compartmental infectious disease transmission modelsPLoS Computational Biologyarticle25
2023Generically partisan: Polarization in political communicationProceedings of the National Academy of Sciencesarticle25
2019Post-hoc power using observed estimate of effect size is too noisy to be usefulAnnals of Surgeryarticle25
2021Social penumbras predict political attitudesProceedings of the National Academy of Sciencesarticle24
2017Fitting Bayesian item response models in Stata and StanThe Stata Journal Promoting communications on statistics an…article24
2024Causal quartets: Different ways to attain the same average treatment effectThe American Statisticianarticle22
2020Laplace’s Theories of Cognitive Illusions, Heuristics and BiasesStatistical Sciencearticle22
2025Artificial intelligence and aesthetic judgmentarXiv (Cornell University)article21
2023Inference from nonrandom samples using Bayesian machine learningJournal of Survey Statistics and Methodologyarticle21
2019The experiment is just as important as the likelihood in understanding the prior: A cautionary note on robust cognitive modelingComputational Brain & Behaviorarticle21
2021Routine hospital-based SARS-CoV-2 testing outperforms state-based data in predicting clinical burdenEpidemiologyarticle18
2022Selecting on statistical significance and practical significance is wrongJournal of Information Technologyarticle17
2018Do researchers anchor their beliefs on the outcome of an initial study? Testing the time- reversal heuristicExperimental Psychology (formerly Zeitschrift für Experimen…article16
Community prevalence of SARS-CoV-2 in England from April to November, 2020: results from the ONS coronavirus infection survey. Lancet Public Health. 2021; 6 (1…article14
2024How statistical challenges and misreadings of the literature combine to produce unreplicable science: An example from psychologyAdvances in Methods and Practices in Psychological Sciencearticle13
2022Beyond vaccination rates: A synthetic random proxy metric of total SARS-CoV-2 immunity seroprevalence in the communityEpidemiologyarticle13
2025A calibrated BISG for inferring race from surname and geolocationJournal of the Royal Statistical Society Series A (Statisti…article12
2017Introducing the StataStan Interface for Fast, Complex Bayesian Modeling Using StanThe Stata Journal Promoting communications on statistics an…article12
2023Bayesian spatial modelling of localised SARS-CoV-2 transmission through mobility networks across EnglandPLoS Computational Biologyarticle11
2021Research on registered report researchNature Human Behaviourarticle11
2019Objective Randomised Blinded Investigation With Optimal Medical Therapy of Angioplasty in Stable Angina (ORBITA) and coronary stents: A case study in the analy…American Heart Journalarticle11
& Tipton, E.(2022). No reason to expect large and consistent effects of nudge interventionsProceedings of the National Academy of Sciencesarticle10
2025Hierarchical Bayesian models to mitigate systematic disparities in prediction with proxy outcomesJournal of the Royal Statistical Society Series A (Statisti…article9
2022Criticism as asynchronous collaboration: An example from social science researchStatarticle9
2021Why did it take so many decades for the behavioral sciences to develop a sense of crisis around methodology and replication?Journal of Methods and Measurement in the Social Sciencesarticle9
2017The 2008 election: A preregistered replication analysisStatistics and Public Policyarticle9
2023Who wants school vouchers in America? A comprehensive study using multilevel regression and poststratificationSocial Sciencesarticle8
2022Prediction scoring of data-driven discoveries for reproducible researchStatistics and Computingarticle8
2024Grappling with uncertainty in forecasting the 2024 U.S. presidential electionHarvard Data Science Reviewarticle7
2024In pursuit of campus-wide data literacy: A guide to developing a statistics course for students in non-quantitative fieldsJournal of Statistics and Data Science Educationarticle7
2021Reflections on Breiman's Two Cultures of Statistical ModelingObservational Studiesarticle7
2018How to think scientifically about scientists’ proposals for fixing scienceSocius Sociological Research for a Dynamic Worldarticle7
Joseph Bafumi and Jeronimo Cortina. 2010. Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Dobook7
2023“Two truths and a lie” as a class-participation activityThe American Statisticianarticle6
2021Slamming the sham: A Bayesian model for adaptive adjustment with noisy control dataStatistics in Medicinearticle6
2020Statistics as squid ink: How prominent researchers can get away with misrepresenting dataCHANCEarticle6
2026FDA draft guidance for the use of Bayesian methods in clinical trialsJAMAarticle5
2023Commentaries on “Beyond statistical significance: Five principles for the new era of data analysis and reporting”Journal of Consumer Psychologyarticle5
2022Reconciling evaluations of the Millennium Villages ProjectStatistics and Public Policyarticle5
2022The development of Bayesian statisticsJournal of the Indian Institute of Sciencearticle5
2020Evidence vs. truthCHANCEarticle5
2019Of chaos, storms and forking paths: the principles of uncertaintyNaturearticle5
2025Meta-analysis with a single studyStatistical Methods in Medical Researcharticle4
2024Active Statistics: Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal InferenceCambridge University Press eBooksbook4
2024Before data analysis: Additional recommendations for designing experiments to learn about the worldJournal of Consumer Psychologyarticle4
2022Mismatch between scientific theories and statistical modelsBehavioral and Brain Sciencesarticle4
2022A fast linear regression via SVD and marginalizationComputational Statisticsarticle4
2019The implementation of randomization requires corrected analyses. Comment on “Comprehensive nutritional and dietary intervention for autism spectrum disorder—A…Nutrientsarticle4
2019When we make recommendations for scientific practice, we are (at best) acting as social scientistsEuropean Journal of Clinical Investigationarticle4
2025Normative scientific conflict is unavoidable and should be welcomedTheory and Societyarticle3
2025Interrogating the “cargo cult science” metaphorTheory and Societyarticle3
2025Rethinking approaches to analysis of global randomised controlled trialsBMJarticle3
2025Multilevel regression and poststratification using margins of poststratifiers: Improving inference for HIV health outcomes during the COVID-19 pandemicStatistics in Medicinearticle3
2023What is a standard error?Journal of Econometricsarticle3
2023Fast methods for posterior inference of two-group normal-normal modelsBayesian Analysisarticle3
2020Laplace’s theories of cognitive illusions, heuristics, and biases (with discussion and rejoinder)Statistical Sciencearticle3
2017Learning about networks using samplingJournal of Survey Statistics and Methodologyarticle3
2021Challenges in Incorporating Exploratory Data Analysis into Statistical WorkflowHarvard Data Science Reviewarticle2
2020Using Bayesian analysis to account for uncertainty and adjust for bias in coronavirus samplingarticle2
2019From Overconfidence in Research to Over Certainty in Policy Analysis: Can We Escape the Cycle of Hype and Disappointmentarticle2
2026Adaptive sequential Monte Carlo for structured cross validation in Bayesian hierarchical modelsJournal of Computational and Graphical Statisticsarticle1
2026Multilevel regression and poststratification interface: an application to track community-level COVID-19 viral transmissionPopulation Health Metricsarticle1
2026Adjusting for underreporting of child protective services involvement in the Future of Families and Child Wellbeing Study and assessing its empirical implicati…Social Service Reviewarticle1
2025Russian roulette: The need for stochastic potential outcomes when utilities depend on counterfactualsBiometrikaarticle1
2025A multilevel Bayesian approach to climate-fueled migration and conflictScientific Reportsarticle1
2024Statistics as a social activity: Attitudes toward amalgamating evidenceEntropyarticle1
2024Hopes and limitations of reproducible statistics and machine learningHarvard Data Science Reviewarticle1
2023Challenges in adjusting a survey that overrepresents people interested in politicsHarvard Data Science Reviewarticle1
2023A chain as strong as its strongest link? Understanding the causes and consequences of biases arising from selective analysis and reporting of research resultsJournal of Research on Educational Effectivenessarticle1
2022How should scientific journals handle “Big if true” submissions?CHANCEarticle1
2020Post-Election Interview with Andrew Gelman and G. Elliott MorrisHarvard Data Science Reviewarticle1
2018Learning from and responding to statistical criticismObservational Studiesarticle1
2018Scoring Model Predictions using Cross-Validationarticle1
2017Consensus Monte Carlo using expectation propagationBrazilian Journal of Probability and Statisticsarticle1
2017Validation of Software for Bayesian Models using Posterior Quantiles (vol 15, pg 675, 2006)Journal of Computational and Graphical Statisticsarticle1
2026Reanalysis of “Competition and innovation: An inverted-U relationship.”Journal of Robustness Reportsarticle0
2026Handbook of Markov Chain Monte Carlo, second editionedited volume0
2026The ladder of abstraction in statistical graphicsThe American Statisticianarticle0
2026Statistical workflowPhilosophical Transactions of the Royal Society A Mathemati…article0
2025Letter to the editorPerspectives on Psychological Sciencearticle0
2024Why forecast an election that’s too close to call?Naturearticle0
2021Ethical requirements of a research assistant who is concerned about the behavior of a supervisorCHANCEarticle0
2026Power analysis is essential: High-powered tests suggest minimal to no effect of rounded shapes on click-through ratesarticle
2026This is the reason for external replication: Response to Aungle et al. (2026)Advances in Methods and Practices in Psychological Sciencearticle
2025Statistical graphics and comics: Parallel histories of visual storytellingarticle
2025Discussion of “Statistical exploration of the manifold hypothesis,” by N. Whiteley, A. Gray, and P. Rubin-Delanchyarticle
2025Stable adjustments in regression discontinuityarticle
2023I love this paper but it’s barely been noticed. Part of a collaborative article, “What are your most underappreciated works?”article
2023Gaussian Variational Approximations for High-dimensional State Space Models......................................... M. Quiroz, DJ Nott, and R. Kohn 989 Post-P…Bayesian Analysisarticle
2023From visualization to sensificationarticle
2022A Multilevel Bayesian Framework to Analyze Climate-Fueled Migration and ConflictAGU Fall Meeting Abstractsarticle
2021Reflections on Lakatos’s “Proofs and Refutations.”American Mathematical Monthlyarticle
2021Mathematical Comfort FoodAmerican Mathematical Monthlyarticle
2020Lessons learned and remaining challenges for online seminars and conferencesarticle
2020Data visualization as narrativearticle
2020Rubin, Donbook
2019What statistics can’t tell us in the fight over affirmative action at HarvardBoston Reviewarticle
2019Do Dice Play God? The Mathematics of UncertaintyNaturearticle
2018Sexual Assault and Sexual Harassment in the U.S. Military: Annex to Volume 5. Tabular Results from the 2014 RAND Military Workplace Study for Installation- and…RAND Corporation eBooksbook
2018The Millennium Villages Project: a retrospective, observational, endline evaluation (vol 6, pg e500, 2018)The Lancet Global Healtharticle
2018Bayesian AnalysisBayesian Analysisarticle
2017Rejoinder: How Special was 2016?Statistics and Public Policyarticle