Peter D. Hoff
Impact in
- Computational Mathematics top 0.5%
- Tensor decomposition and applications
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
Papers in
-
- Statistical Methods and Bayesian Inference 24
- Statistical Methods and Inference 17
- Advanced Statistical Methods and Models 10
- Markov Chains and Monte Carlo Methods 9
- Statistical Methods and Applications 8
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- Complex Network Analysis Techniques 15
- Co-authors
- Adrian E. Raftery (3 shared papers)Mark S. Handcock (3 shared papers)Michael D. Ward (5 shared papers)Xiaoyue Maggie Niu (4 shared papers)Pavel N. Krivitsky (1 shared paper)Cynthia R. Pearson (3 shared papers)Diane P. Martin (3 shared papers)Jane M. Simoni (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)Biometrika (3 papers)
- Partner nations
- United StatesMozambiqueIreland
In The Last Decade
Peter D. Hoff
94 papers receiving 4.4k citations
Peter D. Hoff's Hit Papers
Peers
Comparison fields: 5 of 170
- Computational Mathematics 214
- Statistical and Nonlinear Physics 1.3k
- Statistics and Probability 1k
- Artificial Intelligence 773
- Family Practice 44
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 100 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 | 1219 |
| 2 | 2009 | 526 | |
| 3 | 2005 | 251 | |
| 4 | 2009 | 183 | |
| 5 | 2007 | 177 | |
| 6 | 2000 | 126 | |
| 7 | 2008 | 122 | |
| 8 | 2009 | 120 | |
| 9 | 2006 | 116 | |
| 10 | 2007 | 116 | |
| 11 | Multilinear tensor regression for longitudinal relational data | 2014 | 113 |
| 12 | 2004 | 110 | |
| 13 | 2011 | 100 | |
| 14 | 2012 | 86 | |
| 15 | 1998 | 78 | |
| 16 | 2011 | 70 | |
| 17 | 2007 | 60 | |
| 18 | 2011 | 59 | |
| 19 | 2007 | 56 | |
| 20 | 2010 | 53 |
About Peter D. Hoff
Peter D. Hoff is a scholar working on Statistics and Probability, Statistical and Nonlinear Physics, Computational Mathematics, Artificial Intelligence and Economics and Econometrics, having authored 100 papers that have together received 4.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (24 papers), Statistical Methods and Inference (17 papers), Complex Network Analysis Techniques (15 papers), Bayesian Methods and Mixture Models (11 papers), Advanced Statistical Methods and Models (10 papers), Tensor decomposition and applications (9 papers), Markov Chains and Monte Carlo Methods (9 papers) and Statistical Methods and Applications (8 papers). The work is most often cited by research in Computational Mathematics (214 citations), Statistical and Nonlinear Physics (1.3k citations), Statistics and Probability (1k citations), Artificial Intelligence (773 citations) and Family Practice (44 citations). Peter D. Hoff has collaborated with scholars based in United States, Mozambique and Ireland. Frequent co-authors include Adrian E. Raftery, Mark S. Handcock, Michael D. Ward, Xiaoyue Maggie Niu, Pavel N. Krivitsky, Cynthia R. Pearson, Diane P. Martin, Jane M. Simoni, Bailey K. Fosdick and Assaf P. Oron. 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 Biometrika.
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.