Peter D. Hoff
Impact in
- Computational Mathematics top 1%
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Statistical Methods and Bayesian Inference 23
- Statistical Methods and Inference 21
- Statistical Methods in Clinical Trials 7
-
- Bayesian Methods and Mixture Models 22
- Co-authors
- Adrian E. Raftery (3 shared papers)Mark S. Handcock (3 shared papers)Michael D. Ward (5 shared papers)Xiaoyue Niu (3 shared papers)Knut Hickethier (2 shared papers)Pavel N. Krivitsky (1 shared paper)Cynthia Pearson (3 shared papers)Diane P. Martin (3 shared papers)
- Journals
- Journal of the American Statistical Association (8 papers)The Annals of Applied Statistics (6 papers)Journal of Computational and Graphical Statistics (6 papers)Bayesian Analysis (4 papers)Computational Statistics & Data Analysis (3 papers)
- Partner nations
- United StatesMozambiqueNetherlands
In The Last Decade
Peter D. Hoff
88 papers receiving 4.1k citations
Peter D. Hoff's Hit Papers
Peers
Comparison fields: 5 of 186
- Computational Mathematics 132
- Statistical and Nonlinear Physics 1.3k
- Statistics and Probability 805
- Artificial Intelligence 1.1k
- Experimental and Cognitive Psychology 298
Countries citing papers authored by Peter D. Hoff
This map shows the geographic impact of Peter D. Hoff'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 Peter D. Hoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter D. Hoff more than expected).
Fields of papers citing papers by Peter D. Hoff
This network shows the impact of papers produced by Peter D. Hoff. 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 Peter D. Hoff. The network helps show where Peter D. Hoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter D. Hoff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Latent Space Approaches to Social Network Analysis Hit paper breakdown → | 2002 | 1151 |
| 2 | A First Course in Bayesian Statistical Methods Hit paper breakdown → | 2009 | 507 |
| 3 | 2005 | 248 | |
| 4 | 2009 | 174 | |
| 5 | 2007 | 171 | |
| 6 | 2000 | 126 | |
| 7 | 2008 | 120 | |
| 8 | 2006 | 116 | |
| 9 | 2004 | 115 | |
| 10 | 2007 | 114 | |
| 11 | 2007 | 110 | |
| 12 | 2009 | 108 | |
| 13 | 2011 | 96 | |
| 14 | 1998 | 89 | |
| 15 | 1998 | 80 | |
| 16 | 2012 | 76 | |
| 17 | 2007 | 64 | |
| 18 | 2011 | 64 | |
| 19 | 2011 | 57 | |
| 20 | 2007 | 51 |
About Peter D. Hoff
Peter D. Hoff is a scholar working on Statistics and Probability, Artificial Intelligence, Statistical and Nonlinear Physics, Molecular Biology and Genetics, having authored 99 papers that have together received 4.4k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (23 papers), Bayesian Methods and Mixture Models (22 papers), Statistical Methods and Inference (21 papers), Complex Network Analysis Techniques (12 papers), Optimal Experimental Design Methods (7 papers), Statistical Methods in Clinical Trials (7 papers), Opinion Dynamics and Social Influence (6 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Computational Mathematics (132 citations), Statistical and Nonlinear Physics (1.3k citations), Statistics and Probability (805 citations), Artificial Intelligence (1.1k citations) and Experimental and Cognitive Psychology (298 citations). Peter D. Hoff has collaborated with scholars based in United States, Mozambique and Netherlands. Frequent co-authors include Adrian E. Raftery, Mark S. Handcock, Michael D. Ward, Xiaoyue Niu, Knut Hickethier, Pavel N. Krivitsky, Cynthia Pearson, Diane P. Martin, Jane M. Simoni and Bailey K. Fosdick. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Applied Statistics, Journal of Computational and Graphical Statistics, Bayesian Analysis and Computational Statistics & Data Analysis.
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.