Alan Agresti
- Statistics and Probability top 0.01%
- Statistical Methods and Bayesian Inference 66
- Advanced Statistical Methods and Models 52
- Statistical Methods in Clinical Trials 34
- Advanced Causal Inference Techniques 22
- Statistical Methods and Inference 15
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- Reliability and Agreement in Measurement 14
- Artificial Intelligence top 0.2%
- Bayesian Modeling and Causal Inference 15
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- Economic and Environmental Valuation 9
- Co-authors
- Brent A. CoullJoseph L. FleissRobert K. TsutakawaBarbara FinlayYongyi MinBrian CaffoDennis LendremClifford C. Clogg
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- Journal of the American Statistical Association (27 papers)Biometrics (20 papers)Statistics in Medicine (13 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Alan Agresti
164 papers receiving 26.5k citations
Hit Papers
Peers
Comparison fields: 5 of 242
- Statistics and Probability 6.9k
- Statistics, Probability and Uncertainty 1.4k
- Management Science and Operations Research 2.0k
- Artificial Intelligence 2.8k
- Nature and Landscape Conservation 967
Countries citing papers authored by Alan Agresti
This map shows the geographic impact of Alan Agresti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alan Agresti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Agresti more than expected).
Fields of papers citing papers by Alan Agresti
This network shows the impact of papers produced by Alan Agresti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alan Agresti. The network helps show where Alan Agresti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alan Agresti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 77 | |
| 2 | 2008 | 48 | |
| 3 | Statistical methods for the social sciences, Agresti and Finlay, 3rd edition | 2007 | 9 |
| 4 | 2006 | 28 | |
| 5 | 2005 | 77 | |
| 6 | 2003 | 76 | |
| 7 | Modeling Nonnegative Data with Clumping at Zero: A Survey | 2002 | 95 |
| 8 | Categorical Data Analysisbreakdown → | 2002 | 4940 |
| 9 | 2002 | 62 | |
| 10 | 2002 | 46 | |
| 11 | 1999 | 102 | |
| 12 | Approximate is Better than “Exact” for Interval Estimation of Binomial Proportionsbreakdown → | 1998 | 2488 |
| 13 | 1995 | 22 | |
| 14 | 1993 | 3 | |
| 15 | Computing conditional maximum likelihood estimates for generalized Rasch models using simple loglinear models with diagonals parameters | 1993 | 43 |
| 16 | 1993 | 27 | |
| 17 | 1989 | 121 | |
| 18 | 1986 | 25 | |
| 19 | 1986 | 1 | |
| 20 | 1977 | 3 |
About Alan Agresti
Alan Agresti is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 164 papers that have together received 28.3k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (66 papers), Advanced Statistical Methods and Models (52 papers), Statistical Methods in Clinical Trials (34 papers), Advanced Causal Inference Techniques (22 papers), Bayesian Modeling and Causal Inference (15 papers), Statistical Methods and Inference (15 papers), Reliability and Agreement in Measurement (14 papers) and Economic and Environmental Valuation (9 papers). The work is most often cited by research in Statistics and Probability (6.9k citations), Statistics, Probability and Uncertainty (1.4k citations) and Management Science and Operations Research (2.0k citations). Alan Agresti has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Brent A. Coull, Joseph L. Fleiss, Robert K. Tsutakawa, Barbara Finlay, Yongyi Min, Brian Caffo, Dennis Lendrem, Clifford C. Clogg, Ivy Liu and Joseph B. Lang. Their work appears in journals such as Journal of the American Statistical Association, Biometrics, Statistics in Medicine, Computational Statistics & Data Analysis and Technometrics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.