Alan Agresti

41.5k total citations · 14 hit papers
164 papers, 28.3k citations indexed

About

Alan Agresti is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Alan Agresti has authored 164 papers receiving a total of 28.3k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Statistics and Probability, 24 papers in Artificial Intelligence and 21 papers in Management Science and Operations Research. Recurrent topics in Alan Agresti's work include Statistical Methods and Bayesian Inference (66 papers), Advanced Statistical Methods and Models (52 papers) and Statistical Methods in Clinical Trials (34 papers). Alan Agresti is often cited by papers focused on Statistical Methods and Bayesian Inference (66 papers), Advanced Statistical Methods and Models (52 papers) and Statistical Methods in Clinical Trials (34 papers). Alan Agresti collaborates with scholars based in United States, Italy and Germany. Alan Agresti's 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 and has published in prestigious journals such as Psychological Bulletin, Journal of the American Statistical Association and Contemporary Sociology A Journal of Reviews.

In The Last Decade

Alan Agresti

164 papers receiving 26.5k citations

Hit Papers

Categorical Data Analysis 1985 2026 1998 2012 2002 2006 1998 1991 1985 1000 2.0k 3.0k 4.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Categorical Data Analysis
    2002 4.9k citations Alan Agresti Wiley series in probability and statistics profile →
  2. An Introduction to Categorical Data Analysis
    2006 4.1k citations Alan Agresti Wiley series in probability and statistics profile →
  3. Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions
    1998 2.5k citations Alan Agresti, Brent A. Coull The American Statistician profile →
  4. Categorical Data Analysis.
    1991 2.0k citations Alan Agresti et al. Journal of the American Statistical Association profile →
  5. Analysis of Ordinal Categorical Data.
    1985 1.3k citations Alan Agresti et al. Journal of the American Statistical Association profile →
  6. Statistical Methods for the Social Sciences
    1998 1.3k citations Alan Agresti, Barbara Finlay et al. Journal of the American Statistical Association profile →
  7. Analysis of Ordinal Categorical Data
    2010 1.0k citations Alan Agresti Wiley series in probability and statistics profile →
  8. A Survey of Exact Inference for Contingency Tables
    1992 841 citations Alan Agresti Statistical Science profile →
  9. Approximate Is Better than "Exact" for Interval Estimation of Binomial Proportions
    1998 735 citations Alan Agresti, Brent A. Coull The American Statistician profile →
  10. Categorical Data Analysis
    1991 586 citations Alan Agresti et al. Technometrics profile →
  11. Categorical Data Analysis.
    1991 548 citations Alan Agresti et al. profile →
  12. Analysis of Ordinal Categorical Data.
    1985 483 citations Alan Agresti et al. profile →
  13. Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two Failures
    2000 352 citations Alan Agresti, Brian Caffo The American Statistician profile →
  14. Foundations of Linear and Generalized Linear Models
    2015 288 citations Alan Agresti profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alan Agresti United States 61 6.9k 2.8k 2.3k 2.1k 2.0k 164 28.3k
Peter McCullagh Australia 32 7.0k 1.0× 2.7k 1.0× 954 0.4× 2.1k 1.0× 1.8k 0.9× 156 25.3k
Ingram Olkin United States 69 6.7k 1.0× 2.5k 0.9× 2.4k 1.0× 2.6k 1.2× 2.8k 1.4× 274 42.1k
Frederick Mosteller United States 69 4.7k 0.7× 2.9k 1.0× 1.9k 0.8× 2.7k 1.3× 2.1k 1.0× 254 28.2k
Peter A. Lachenbruch United States 52 3.8k 0.6× 1.9k 0.7× 4.6k 2.0× 1.4k 0.7× 1.3k 0.6× 189 46.9k
Paul W. Holland United States 51 6.0k 0.9× 2.6k 0.9× 2.4k 1.1× 2.1k 1.0× 3.7k 1.8× 178 21.0k
John B. Carlin Australia 97 4.7k 0.7× 3.1k 1.1× 2.3k 1.0× 2.4k 1.2× 1.3k 0.7× 488 51.3k
William S. Cleveland United States 46 2.8k 0.4× 3.5k 1.3× 1.1k 0.5× 2.1k 1.0× 1.0k 0.5× 141 28.0k
D. R. Cox United Kingdom 46 7.1k 1.0× 2.9k 1.0× 733 0.3× 2.4k 1.2× 2.3k 1.1× 127 23.7k
Hal S. Stern United States 38 3.9k 0.6× 2.9k 1.0× 797 0.3× 2.0k 1.0× 1.5k 0.7× 155 19.4k
J. A. Nelder United Kingdom 48 9.4k 1.4× 5.5k 2.0× 1.1k 0.5× 3.1k 1.5× 4.1k 2.0× 153 55.9k

Countries citing papers authored by Alan Agresti

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Alan Agresti

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Agresti. A scholar is included among the top collaborators of Alan Agresti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alan Agresti. Alan Agresti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Agresti, Alan & Barbara Finlay. (2007). Statistical methods for the social sciences, Agresti and Finlay, 3rd edition. 9 indexed citations
2.
Agresti, Alan & Yongyi Min. (2005). Frequentist Performance of Bayesian Confidence Intervals for Comparing Proportions in 2 × 2 Contingency Tables. Biometrics. 61(2). 515–523. 77 indexed citations
3.
Min, Yongyi & Alan Agresti. (2002). Modeling Nonnegative Data with Clumping at Zero: A Survey. 1(12). 7–33. 95 indexed citations
4.
Agresti, Alan. (2002). Categorical Data Analysis. Wiley series in probability and statistics. 4940 indexed citations breakdown →
5.
Agresti, Alan & Brent A. Coull. (2002). The analysis of contingency tables under inequality constraints. Journal of Statistical Planning and Inference. 107(1-2). 45–73. 46 indexed citations
6.
Agresti, Alan & Ranjini Natarajan. (2001). Modeling Clustered Ordered Categorical Data: A Survey. International Statistical Review. 69(3). 345–371. 64 indexed citations
7.
Hartzel, Jonathan, Alan Agresti, & Brian Caffo. (2001). Multinomial logit random effects models. Statistical Modelling. 1(2). 81–102. 137 indexed citations
8.
Agresti, Alan & Ivy Liu. (2001). Strategies for Modeling a Categorical Variable Allowing Multiple Category Choices. Sociological Methods & Research. 29(4). 403–434. 37 indexed citations
9.
Agresti, Alan & Brian Caffo. (2000). Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two Failures. The American Statistician. 54(4). 280–288. 352 indexed citations breakdown →
10.
Agresti, Alan & Brent A. Coull. (1998). Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions. The American Statistician. 52(2). 119–126. 2488 indexed citations breakdown →
11.
Agresti, Alan. (1998). Approximately Exact Inference for the Common Odds Ration in Several 2 × 2 Tables: Comment. Journal of the American Statistical Association. 93(444). 1307–1307. 1 indexed citations
12.
Agresti, Alan, et al.. (1995). Improved Exact Inference about Conditional Association in Three-Way Contingency Tables. Journal of the American Statistical Association. 90(430). 632–639. 22 indexed citations
13.
Agresti, Alan. (1993). Computing conditional maximum likelihood estimates for generalized Rasch models using simple loglinear models with diagonals parameters. Scandinavian Journal of Statistics. 20(1). 63–71. 43 indexed citations
14.
Agresti, Alan, Joseph B. Lang, & Cyrus R. Mehta. (1993). Some empirical comparisons of exact, modified exact, and higher-order asymptotic tests of independence for ordered categorical variables. Communications in Statistics - Simulation and Computation. 22(1). 1–18. 3 indexed citations
15.
Agresti, Alan. (1993). Distribution‐free fitting of logit models with random effects for repeated categorical responses. Statistics in Medicine. 12(21). 1969–1987. 27 indexed citations
16.
Agresti, Alan. (1992). [A Survey of Exact Inference for Contingency Tables]: Rejoinder. Statistical Science. 7(1). 15 indexed citations
17.
Agresti, Alan. (1989). Tutorial on modeling ordered categorical response data.. Psychological Bulletin. 105(2). 290–301. 121 indexed citations
18.
Agresti, Alan & Jane Pendergast. (1986). Comparing mean ranks for repeated measures data. Communication in Statistics- Theory and Methods. 15(5). 1417–1433. 25 indexed citations
19.
Agresti, Alan. (1986). Applying R 2 – Type Measures to Ordered Categorical Data. Technometrics. 28(2). 133–138. 1 indexed citations
20.
Agresti, Alan. (1977). A coefficient of multiple association based on ranks. Communication in Statistics- Theory and Methods. 6(14). 1341–1359. 3 indexed citations

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.

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