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

Publications511
Citations153,189
h-index141 · Scholar
Citations per year in post4,255.2
Years in post36 from the CV positions

Coverage

Works with a count419 of 511
Share82%

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 174 venues

The 8 holding the most of these works; 166 more hold at least one.

CHANCE27
The American Statistician25
Statistical Science22
Bayesian Analysis19
Journal of the American Statistical Associati…18
Journal of Computational and Graphical Statis…13
arXiv (Cornell University)9
Proceedings of the National Academy of Scienc…8

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 511 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
1992Inference from iterative simulation using multiple sequences (with discussion and rejoinder)Statistical Sciencearticle23,227
2017Stan: A probabilistic programming languageJournal of Statistical Softwarearticle10,846
1998General methods for monitoring convergence of iterative simulationsJournal of Computational and Graphical Statisticsarticle9,319
2014The no-U-turn sampler: Adaptively setting path lengths in Hamiltonian Monte CarloarXiv (Cornell University)article8,438
2017Practical Bayesian model evaluation using leave-one-out cross-validation and WAICStatistics and Computingarticle7,838
2006Prior distributions for hierarchical variance parametersBayesian Analysisarticle6,489
1996Posterior predictive assessment of model fitness via realized discrepancies (with discussion and rejoinder)Statistica Sinicaarticle3,527
2008Scaling regression inputs by dividing by two standard deviationsStatistics in Medicinearticle3,161
2021Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMCBayesian Analysisarticle3,065
2014Understanding predictive information criteria for Bayesian modelsStatistics and Computingarticle3,039
2008A weakly informative default prior distribution for logistic and other regression modelsThe Annals of Applied Statisticsarticle2,992
1997Weak convergence and optimal scaling of random walk Metropolis algorithmsThe Annals of Applied Probabilityarticle2,796
2019Why high-order polynomials should not be used in regression discontinuity designsJournal of Business and Economic Statisticsarticle2,692
2005R2WinBUGS: a package for running WinBUGS from RJournal of Statistical Softwarearticle2,180
2016Increasing transparency through a multiverse analysisPerspectives on Psychological Sciencearticle1,938
2014Beyond power calculations: Assessing Type S (sign) and Type M (magnitude) errorsPerspectives on Psychological Sciencearticle1,874
2012Why we (usually) don’t have to worry about multiple comparisonsJournal of Research on Educational Effectivenessarticle1,855
2006The difference between “significant” and “not significant” is not itself statistically significantThe American Statisticianarticle1,701
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
1998Simulating normalizing constants: From importance sampling to bridge sampling to path samplingStatistical Sciencearticle1,465
2008Partisans without constraint: Political polarization and trends in American public opinionAmerican Journal of Sociologyarticle1,449
2014The statistical crisis in scienceAmerican Scientistarticle1,415
2007An analysis of the NYPD’s stop-and-frisk policy in the context of claims of racial biasJournal of the American Statistical Associationarticle1,413
2019Abandon statistical significanceHAL (Le Centre pour la Communication Scientifique Directe)article1,394
2013The garden of forking paths: Why multiple comparisons can be a problem, even when there is no “fishing expedition” or “p-hacking” and the research hypothesis w…article1,393
2005Analysis of variance: Why it is more important than ever (with discussion and rejoinder)The Annals of Statisticsarticle1,377
1993Why are American Presidential election campaign polls so variable when votes are so predictable?British Journal of Political Sciencearticle1,356
2018R-squared for Bayesian regression modelsThe American Statisticianarticle1,207
2017Automatic differentiation variational inferencearXiv (Cornell University)article1,207
2013Philosophy and the practice of Bayesian statistics (with discussion and rejoinder)British Journal of Mathematical and Statistical Psychologyarticle1,119
1990Estimating Incumbency Advantage Without BiasAmerican Journal of Political Sciencearticle1,117
1998Markov chain Monte Carlo in practice: A roundtable discussionThe American Statisticianarticle1,012
2007Struggles with Survey Weighting and Regression ModelingStatistical Sciencearticle1,002
2006Multilevel modeling: What it can and cannot doTechnometricsarticle907
2018Using stacking to average Bayesian predictive distributions (with discussion and rejoinder)Bayesian Analysisarticle896
2017Measurement error and the replication crisisSciencearticle867
2015Stan: A probabilistic programming language for Bayesian inference and optimizationJournal of Educational and Behavioral Statisticsarticle840
2017The prior can often only be understood in the context of the likelihoodEntropyarticle806
2013A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel ModelsPsychometrikaarticle730
2011Multiple imputation with diagnostics (mi) in R: Opening windows into the black boxJournal of Statistical Softwarearticle666
2004Bayesian multilevel estimation with poststratification: state-level estimates from national pollsPolitical Analysisarticle663
2024Pareto smoothed importance samplingarXiv (Cornell University)article659
2015Forecasting elections with non-representative pollsInternational Journal of Forecastingarticle630
2003Spatial variability of arsenic in 6000 tube wells in a 25 km2 area of BangladeshWater Resources Researcharticle568
2018Global shifts in the phenological synchrony of species interactions over recent decadesProceedings of the National Academy of Sciencesarticle558
2006Validation of software for Bayesian models using posterior quantilesJournal of Computational and Graphical Statisticsarticle510
1997Poststratification into many categories using hierarchical logistic regressionSurvey methodologyarticle504
1996Physiological pharmacokinetic analysis using population modeling and informative prior distributionsJournal of the American Statistical Associationarticle485
2007Voting as a rational choice: Why and how people vote to improve the well-being of othersRationality and Societyarticle481
2000Type S error rates for classical and Bayesian single and multiple comparison proceduresComputational Statisticsarticle450
1994Enhancing democracy through legislative redistrictingAmerican Political Science Reviewarticle448
2006Bayesian measures of explained variance and pooling in multilevel (hierarchical) modelsTechnometricsarticle441
2011Segregation in social networks based on acquaintanceship and trustAmerican Journal of Sociologyarticle432
1994A unified model for evaluating electoral systems and redistricting plansAmerican Journal of Political Sciencearticle408
2008Rich state, poor state, red state, blue state: What’s the matter with Connecticut?Quarterly Journal of Political Sciencearticle404
2004Parameterization and Bayesian modelingJournal of the American Statistical Associationarticle394
2008Objections to Bayesian statistics (with discussion and rejoinder)Bayesian Analysisarticle387
2008Diagnostics for multivariate imputationsJournal of the Royal Statistical Society Series C (Applied…article362
2003A Bayesian formulation of exploratory data analysis and goodness-of-fit testingInternational Statistical Reviewarticle358
2017Beyond subjective and objective in statistics (with discussion and rejoinder)Journal of the Royal Statistical Society Series A (Statisti…article354
2005Practical issues in implementing and understanding Bayesian ideal point estimationPolitical Analysisarticle352
1996Markov chain Monte Carlo methods in biostatisticsStatistical Methods in Medical Researcharticle341
2004Exploratory data analysis for complex models (with discussion and rejoinder)Journal of Computational and Graphical Statisticsarticle340
2002Promotion of well-switching to mitigate the arsenic crisis in BangladeshPubMedarticle329
2013P-values and statistical practiceEpidemiologyarticle307
2006How many people do you know in prison?: Using overdispersion in count data to estimate social structure in networksJournal of the American Statistical Associationarticle304
2009Splitting a predictor at the upper quarter or third and the lower quarter or thirdThe American Statisticianarticle294
2002Let’s practice what we preach: Turning tables into graphsThe American Statisticianarticle293
2010Economic disparities and life satisfaction in European regionsSocial Indicators Researcharticle277
2019Bayesian hierarchical spatial models: Implementing the Besag York Mollié model in StanSpatial and Spatio-temporal Epidemiologyarticle270
2013Deep interactions with MRP: Election turnout and voting patterns among small electoral subgroupsAmerican Journal of Political Sciencearticle266
2018The statistical significance filter leads to overconfident expectations of replicabilityJournal of Memory and Languagearticle257
2013Two simple examples for understanding posterior p-values whose distributions are far from uniformElectronic Journal of Statisticsarticle255
1991Systemic consequences of incumbency advantage in U.S. House electionsAmerican Journal of Political Sciencearticle251
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
1999Not Asked and Not Answered: Multiple Imputation for Multiple SurveysJournal of the American Statistical Associationarticle227
2011Causality and statistical learningAmerican Journal of Sociologyarticle220
2009Of beauty, sex, and power: statistical challenges in estimating small effectsAmerican Scientistarticle220
2004Standard voting power indexes don’t work: An empirical analysisBritish Journal of Political Sciencearticle214
2004Reliability of a commercial kit to test groundwater for arsenic in BangladeshEnvironmental Science & Technologyarticle210
2022No reason to expect large and consistent effects of nudge interventionsProceedings of the National Academy of Sciencesarticle208
2020A Consensus-based Transparency ChecklistNature Human Behaviourarticle206
2015The connection between varying treatment effects and the crisis of unreplicable research: A Bayesian perspectiveJournal of Managementarticle204
2007Average predictive comparisons for models with nonlinearity, interactions, and variance com- ponentsSociological Methodologyarticle201
2000Diagnostic checks for discrete-data regression models using posterior predictive simulationsJournal of the Royal Statistical Society Series C (Applied…article200
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
2010Adaptively scaling the Metropolis algorithm using expected squared jumped distanceSSRN Electronic Journalarticle183
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
2005Multiple imputation for model checking: Completed-data plots with missing and latent dataBiometricsarticle178
1999All maps of parameter estimates are misleadingStatistics in Medicinearticle178
1995Avoiding model selection in Bayesian social research. Discussion of “Bayesian model selection in social research,” by A. RafterySociological Methodologyarticle178
2002The mathematics and statistics of voting powerStatistical Sciencearticle176
2016The mythical swing voterQuarterly Journal of Political Sciencearticle173
2012What is the probability your vote will make a difference?Economic Inquiryarticle173
1990Estimating the electoral consequences of legislative redistrictingJournal of the American Statistical Associationarticle171
1993Characterizing a joint probability distribution by conditionalsJournal of the Royal Statistical Society Series B (Statisti…article169
2014Weakly informative prior for point estimation of covariance matrices in hierarchical modelsJournal of Educational and Behavioral Statisticsarticle165
1998Estimating the probability of events that have never occurred: When is your vote decisive?Journal of the American Statistical Associationarticle164
2014On the stationary distribution of iterative imputationsBiometrikaarticle162
2014Multiple imputation for continuous and categorical data: Comparing joint and conditional ap- proachesPolitical Analysisarticle151
1997Walking to school and traffic exposure in Australian childrenAustralian and New Zealand Journal of Public Healtharticle151
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
2004A broken system: The persistent pattern of reversals of death sentences in the United StatesJournal of Empirical Legal Studiesarticle146
2016The problems with p-values are not just with p-valuesThe American Statisticianarticle145
1995Pre-election survey methodology: Details from nine polling organizations, 1988 and 1992Public Opinion Quarterlyarticle145
2003Assessing the implementation and effects of a trauma-focused intervention for youths in residential treatmentPsychiatric Quarterlyarticle140
2013Infovis and statistical graphics: Different goals, different looks (with discussion and rejoinder)Journal of Computational and Graphical Statisticsarticle137
2010Income inequality and partisan voting in the United StatesSocial Science Quarterlyarticle135
2001Models, assumptions, and model checking in ecological regressionsJournal of the Royal Statistical Society Series A (Statisti…article135
2001Alternative models for longitudinal binary outcome data: A case study on the choice, interpretation and checking of multilevel models for longitudinal binary o…Biostatisticsarticle133
2008Using redundant parameters to fit hierarchical modelsJournal of Computational and Graphical Statisticsarticle130
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
1992Iterative and non-iterative simulation algorithmsarticle119
2015Bayesian nonparametric weighted sampling inferenceBayesian Analysisarticle116
1996Bayesian prediction of mean indoor radon concentrations for Minnesota countiesHealth Physicsarticle116
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
1996Population toxicokinetics of tetrachloroethyleneArchives of Toxicologyarticle105
2003A Bayesian approach to the selection and testing of latent class modelsStatistica Sinicaarticle100
2009Bayes, Jeffreys, Prior Distributions and the Philosophy of StatisticsColumbia Academic Commons (Columbia University)article97
2022Pathfinder: Parallel quasi-Newton variational inferencearXiv (Cornell University)article96
2016Age-aggregation bias in mortality trendsProceedings of the National Academy of Sciencesarticle96
2006An Experimental Study of Storable VotesGames and Economic Behaviorarticle96
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
2011Induction and deduction in Bayesian data analysisRePEc: Research Papers in Economicsarticle90
2005Sampling for Bayesian computation with large datasetsSSRN Electronic Journalarticle90
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
2008Estimating Incumbency Advantage and its Variation,as an Example of a Before-After StudyJournal of the American Statistical Associationarticle87
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
2016A Bayesian bird’s eye view of ‘Replications of important results in social pscyhology.’Royal Society Open Sciencearticle83
1991A note on bivariate distributions that are conditionally normalThe American Statisticianarticle83
2020Discussion points for Bayesian inferenceNature Human Behaviourarticle81
2004Bayesian analysis of serial dilution assaysBiometricsarticle81
2021Improving multilevel regression and poststratification with structured priorsBayesian Analysisarticle80
2010Bayesian combination of state polls and election forecastsPolitical Analysisarticle78
2002You can load a die but you can’t bias a coinThe American Statisticianarticle77
2005Two-stage regression and multilevel modeling: a commentaryPolitical Analysisarticle75
2021Holes in Bayesian statisticsJournal of Physics G Nuclear and Particle Physicsarticle73
2014When do stories work? Evidence and illustration in the social sciencesSociological Methods & Researcharticle73
2015Hierarchical models for estimating state and demographic trends in U.S. death penalty public opinionJournal of the Royal Statistical Society Series A (Statisti…article71
2015Evidence on the deleterious impact of sustained use of polynomial regression on causal infer- enceResearch & Politicsarticle71
2017Exploring the relationships between USMLE performance and disciplinary action in practice: A validity study of score inferences from a licensure examinationAcademic Medicinearticle70
2007Discussion of “Bayesian checking of the second levels of hierarchical models,” by M. J. Bayarri and M. E. CastellanosStatistical Sciencearticle67
1999Analysis of local decisions using hierarchical modeling, applied to home radon measurement and remediation (with disussion)Statistical Sciencearticle67
2003A method for estimating design-based sampling variances for surveys with weighting, post-stratification, and rakingJournal of Official Statisticsarticle66
2020Bayesian hierarchical weighting adjustment and survey inferencearXiv (Cornell University)article64
1996Bayesian model-building by pure thought: Some principles and examplesStatistica Sinicaarticle64
1995Method of moments using Monte Carlo simulationJournal of Computational and Graphical Statisticsarticle64
2009Correlations and multiple comparisons in functional imaging: a statistical perspectivePerspectives on Psychological Sciencearticle63
2021A simple explanation for declining temperature sensitivity with warmingGlobal Change Biologyarticle61
2010Public opinion on health care reformThe Forumarticle61
2024A new look at p-values for randomized clinical trialsNEJM Evidencearticle60
2015Incorporating the sampling design in weighting adjustments for panel attritionStatistics in Medicinearticle59
2011Why tables are really much better than graphs (with discussion and rejoinder)Journal of Computational and Graphical Statisticsarticle59
1998Some issues in monitoring convergence of iterative simulationsarticle59
2017The statistical crisis in science: How is it relevant to clinical neuropsychology?The Clinical Neuropsychologistarticle58
2006The boxer, the wrestler, and the coin flip: A paradox of robust Bayesian inference and belief functionsThe American Statisticianarticle57
2003Regression modeling and meta-analysis for decision making: A cost-benefit analysis of incentives in telephone surveysJournal of Business and Economic Statisticsarticle57
2024Past, present, and future of software for Bayesian inferenceStatistical Sciencearticle56
2018Bayesian inference under cluster sampling with probability proportional to sizearXiv (Cornell University)article56
1999Optimal design for a study of butadiene toxicokinetics in humansToxicological Sciencesarticle56
2013“Not only defended but also applied”: The perceived absurdity of Bayesian inference (with discussion and rejoinder)The American Statisticianarticle55
2024Nested R-hat: Assessing the convergence of Markov chain Monte Carlo when running many short chainsBayesian Analysisarticle54
2008Estimating incumbency advantage and its variation, as an example of a before/after study (with discussion and rejoinder)Journal of the American Statistical Associationarticle54
1987Subboundary-free zone-melt recrystallization of thin-film siliconApplied Physics Lettersarticle54
2015A model-based approach to climate reconstruction using tree-ring dataJournal of the American Statistical Associationarticle53
2013Rates and correlates of HIV and STI infection among homeless womenAIDS and Behaviorarticle53
2015Difficulty of selecting among multilevel models using predictive accuracyStatistics and Its Interfacearticle51
2014Discussion: Difficulties in making inferences about scientific truth from distributions of published p-valuesBiostatisticsarticle51
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
2008A Simple Scheme to Improve the Efficiency of ReferendaJournal of Public Economicsarticle50
2007Letter to the editors regarding some papers of Dr. Satoshi KanazawaJournal of Theoretical Biologyarticle48
2017Honesty and transparency are not enoughCHANCEarticle47
2010Bayesian statistics then and nowStatistical Sciencearticle47
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
1994Bayesian computation for parametric models of heteroscedasticity in the linear modelMedical Entomology and Zoologyarticle46
1984The effects of solar flares on single event upset ratesIEEE Transactions on Nuclear Sciencearticle46
2020Information, incentives, and goals in election forecastsJudgment and Decision Makingarticle45
2020An updated dynamic Bayesian forecasting model for the 2020 electionHarvard Data Science Reviewarticle45
2015Simulation-efficient shortest probability intervalsStatistics and Computingarticle45
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
2006Targeting low-arsenic groundwater with mobile-phone technology in Araihazar, BangladeshPubMedarticle40
2004Direct data manipulation for local decision analysis, as applied to the problem of arsenic in drinking water from tube wells in BangladeshRisk Analysisarticle40
2013Preregistration of studies and mock reportsPolitical Analysisarticle39
2005Comment: Fuzzy and Bayesian p-Values and u-ValuesStatistical Sciencearticle39
2005A course on teaching statistics at the university levelThe American Statisticianarticle38
2001Using conditional distributions for missing-data imputation. Discussion of “Conditionally specified distributions” by B. Arnold et al.Statistical Sciencearticle38
2021Failure and success in political polling and election forecastingStatistics and Public Policyarticle37
2012Understanding persuasion and activation in presidential campaigns: The random walk and mean-reversion modelsPresidential Studies Quarterlyarticle37
2007Manipulating and summarizing posterior simulations using random variable objectsStatistics and Computingarticle37
2005Probabilistic feature analysis of facial perception of emotionsJournal of the Royal Statistical Society Series C (Applied…article37
2001Post-stratification without population level information on the post-stratifying variable, with application to political pollingJournal of the American Statistical Associationarticle37
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
2015Statistics and the crisis of scientific replicationSignificancearticle36
2008Predicting and dissecting the seats-votes curve in the 2006 U.S. House electionPS Political Science & Politicsarticle35
2014Revised evidence for statistical standardsProceedings of the National Academy of Sciencesarticle34
2014The AAA tranche of subprime scienceCHANCEarticle32
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
2006Output assessment for Monte Carlo simulations via the score statisticJournal of Computational and Graphical Statisticsarticle31
2002A probability model for golf puttingTeaching Statisticsarticle30
1999Evaluating and using statistical methods in the social sciences. Discussion of “A critique of the Bayesian information criterion,” by D. WeakliemSociological Methods & Researcharticle30
2024Using leave-one-out cross-validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary taleStatistics in Medicinearticle29
2014How Bayesian analysis cracked the red-state, blue-state problemStatistical Sciencearticle29
2000Some class-participation demonstrations for introductory probability and statisticsJournal of Educational and Behavioral Statisticsarticle29
2003Forming voting blocs and coalitions as a prisoner’s dilemma: A possible theoretical explanation for political instabilityContributions in Economic Analysis & Policyarticle28
1992[Practical Markov Chain Monte Carlo]: Rejoinder: Replication without ContritionStatistical Sciencearticle28
2018Don’t characterize replications as successes or failures. Discussion of “Making replication mainstream,” by Rolf A. Zwaan et al.Behavioral and Brain Sciencesarticle27
2001[Conditionally specified distributions: An introduction]: commentStatistical Sciencearticle27
2023Toward a taxonomy of trust for probabilistic machine learningScience Advancesarticle26
2020Fallout of lead over Paris from the 2019 Notre-Dame cathedral fireGeoHealtharticle26
2014The twentieth-century reversal: How did the Republican states switch to the Democrats and vice versa?Statistics and Public Policyarticle26
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
2014Thinking of doing a list experiment? Here’sa list of reasons why you should think againarticle25
2013A practical guide to measuring social structure using indirectly observed network dataJournal of Statistical Theory and Practicearticle25
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
2008Vote for charity’s sakeThe Economists Voicearticle23
2006Weighted classical variogram estimation for data with clusteringTechnometricsarticle23
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
2012Estimating partisan bias of the electoral college under proposed changes in elector apportion- mentStatistics Politics and Policyarticle21
2007The New York City Puerto Rican asthma project: Study design, methods, and baseline resultsJournal of Asthmaarticle21
1998Improving upon probability weighting for household sizePublic Opinion Quarterlyarticle21
1991The precision of positron emission tomography: Theory and measurementJournal of Cerebral Blood Flow & Metabolismarticle21
2012Avoiding Boundary Estimates in Linear Mixed Models Through Weakly Informative PriorsCollection of Biostatistics Research Archivearticle20
2012Ethics and statistics: Ethics and the statistical use of prior informationCHANCEarticle20
2001Bayesian inference with probability matrix decomposition modelsJournal of Educational and Behavioral Statisticsarticle19
1998Student projects on statistical literacy and the mediaThe American Statisticianarticle19
2021Routine hospital-based SARS-CoV-2 testing outperforms state-based data in predicting clinical burdenEpidemiologyarticle18
2013Inherent difficulties of non-Bayesian likelihood-based inference, as revealed by an examination of a recent book by AitkinStatistics & Risk Modelingarticle18
2013Interrogating P-valuesJournal of Mathematical Psychologyarticle18
2000A method for quantifying artifacts in mapping methods, illustrated by application to headbangingStatistics in Medicinearticle18
2022Selecting on statistical significance and practical significance is wrongJournal of Information Technologyarticle17
2013It’s too hard to publish criticisms and obtain data for replicationCHANCEarticle17
2009Bridges between deterministic and probabilistic models for binary dataStatistical Methodologyarticle17
2008Teaching Bayesian applied statistics to graduate students in political science, sociology, public health, education, economics, . . .The American Statisticianarticle17
1998Some class-participation demonstrations for decision theory and Bayesian statisticsThe American Statisticianarticle17
2018Do researchers anchor their beliefs on the outcome of an initial study? Testing the time- reversal heuristicExperimental Psychology (formerly Zeitschrift für Experimen…article16
2007Bayesian hierarchical classes analysisPsychometrikaarticle16
2012Does quantum uncertainty have a place in everyday applied statistics? Discussion of “Can quantum probability provide a new direction for cognitive modeling?” b…Behavioral and Brain Sciencesarticle15
1997Discussion of “Analysis of non-randomly censored ordered categorical longitudinal data from analgesic trials,” by L. B. Sheiner, S. L. Beal, and A. DunneJournal of the American Statistical Associationarticle15
2013Red State/Blue State Divisions in the 2012 Presidential ElectionThe Forumarticle14
2012Statisticians: When we teach, we don’t practice what we preachCHANCEarticle14
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
2012Ethics and the statistical use of prior informationCHANCEarticle13
2012Statistics for sellers of cigarettesCHANCEarticle13
2011Going beyond the book: Toward critical reading in statistics teachingTeaching Statisticsarticle13
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
2013They’d rather be rigorous than rightCHANCEarticle12
2012What do statistical p-values mean when the sample= the populationarticle12
2007Discussion on the paper by Handcock, Raftery and TantrumUniversity of Groningen research database (University of Gr…article12
2004Using image and curve registration for measuring the goodness of fit of spatial and temporal predictionsBiometricsarticle12
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
1986Mat. Res. Soc. Symp. Proc.MRS Proceedingsarticle11
2011Bayesian statistical pragmatismStatistical Sciencearticle10
& 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
2015Statistics and research integrityarticle9
2008The playing field shifts: predicting the seats-votes curve in the 2008 U.S. House electionPS Political Science & Politicsarticle9
2008One vote, many Mexicos: Income and vote choice in the 1994, 2000, and 2006 presidential electionsarticle9
2006Rational voting and voter turnoutRationality and Societyarticle9
1998Modeling differential nonresponse in sample surveysarticle9
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
2016Questionable association between front boarding and air rageProceedings of the National Academy of Sciencesarticle8
2016Something’s odd about the political betting marketsarticle8
2013Tradeoffs in Information GraphicsJournal of Computational and Graphical Statisticsarticle8

The 300 most cited are listed; 211 more are not.