Stephen E. Fienberg
- Health, Toxicology and Mutagenesis top 5%
- Sociology and Political Science top 10%
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Michael TobinChristine McFarlandRoberta B. NessHerbert L. NeedlemanC. R. RaoEdoardo M. AiroldiStanley WassermanChenlei Leng
- Topics
- Bayesian Modeling and Causal Inference (5 papers)Bayesian Methods and Mixture Models (3 papers)Complex Network Analysis Techniques (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Statistical AssociationJournal of Marketing Research
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Stephen E. Fienberg
32 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Health, Toxicology and Mutagenesis 246
- Sociology and Political Science 231
- Statistics and Probability 208
- Artificial Intelligence 152
- Statistical and Nonlinear Physics 105
Countries citing papers authored by Stephen E. Fienberg
This map shows the geographic impact of Stephen E. Fienberg'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 Stephen E. Fienberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen E. Fienberg more than expected).
Fields of papers citing papers by Stephen E. Fienberg
This network shows the impact of papers produced by Stephen E. Fienberg. 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 Stephen E. Fienberg. The network helps show where Stephen E. Fienberg may publish in the future.
Co-authorship network of co-authors of Stephen E. Fienberg
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen E. Fienberg. A scholar is included among the top collaborators of Stephen E. Fienberg 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 Stephen E. Fienberg. Stephen E. Fienberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Jordan Boyd-Graber, David Mimno, and David Newman. Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements. Handbook of Mixed Membership Models and Their Applications, 2014. | 3 |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 17 | |
| 6 | 30 | |
| 7 | 13 | |
| 8 | Bayesian mixed-membership models of complex and evolving networks | 9 |
| 9 | 282 | |
| 10 | 13 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | Training program evaluators | 4 |
| 14 | The Analysis of Cross-Classified Categorical Data.breakdown → | 689 |
| 15 | 18 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 38 | |
| 19 | 79 | |
| 20 | 12 |
About Stephen E. Fienberg
Stephen E. Fienberg is a scholar working on Artificial Intelligence, Statistics and Probability and Statistical and Nonlinear Physics, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (5 papers), Bayesian Methods and Mixture Models (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Statistics and Probability (208 citations), Health, Toxicology and Mutagenesis (246 citations) and Computational Mathematics (8 citations). Stephen E. Fienberg has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Michael Tobin, Christine McFarland, Roberta B. Ness, Herbert L. Needleman, C. R. Rao, Edoardo M. Airoldi, Stanley Wasserman, Chenlei Leng, Binyan Jiang and Ting Yan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Journal of Marketing Research.
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.