Peter D. Hoff

7.4k total citations · 2 hit papers
78 papers, 4.0k citations indexed

About

Peter D. Hoff is a scholar working on Statistics and Probability, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Peter D. Hoff has authored 78 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Peter D. Hoff's work include Bayesian Methods and Mixture Models (19 papers), Statistical Methods and Bayesian Inference (19 papers) and Statistical Methods and Inference (19 papers). Peter D. Hoff is often cited by papers focused on Bayesian Methods and Mixture Models (19 papers), Statistical Methods and Bayesian Inference (19 papers) and Statistical Methods and Inference (19 papers). Peter D. Hoff collaborates with scholars based in United States, Mozambique and Netherlands. Peter D. Hoff's co-authors include Adrian E. Raftery, Mark S. Handcock, Michael D. Ward, Xiaoyue Niu, Cynthia Pearson, Diane P. Martin, Jane M. Simoni, Pavel N. Krivitsky, Bailey K. Fosdick and Assaf P. Oron and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Journal of the American College of Cardiology.

In The Last Decade

Peter D. Hoff

74 papers receiving 3.8k citations

Hit Papers

Latent Space Approaches to Social Network Analysis 2002 2026 2010 2018 2002 2009 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter D. Hoff United States 29 1.2k 1.0k 744 512 461 78 4.0k
David R. Hunter United States 36 1.6k 1.3× 1.4k 1.4× 1.3k 1.8× 1.2k 2.3× 622 1.3× 91 8.5k
Cosma Rohilla Shalizi United States 19 1.1k 0.9× 694 0.7× 151 0.2× 542 1.1× 342 0.7× 54 3.6k
Eric D. Kolaczyk United States 34 898 0.7× 1.1k 1.0× 322 0.4× 141 0.3× 568 1.2× 115 4.8k
Stephen E. Fienberg United States 39 1.3k 1.0× 2.6k 2.5× 991 1.3× 573 1.1× 516 1.1× 111 6.5k
Leo Egghe Belgium 31 1.0k 0.9× 854 0.8× 190 0.3× 331 0.6× 241 0.5× 226 6.4k
Thomas Brendan Murphy Ireland 47 295 0.2× 1.6k 1.5× 559 0.8× 174 0.3× 1.3k 2.9× 188 8.4k
Phipps Arabie United States 29 1.3k 1.0× 3.6k 3.6× 567 0.8× 505 1.0× 1.3k 2.8× 61 9.0k
David Meyer United States 33 797 0.7× 2.2k 2.2× 104 0.1× 324 0.6× 360 0.8× 153 6.3k
Samuel Leinhardt United States 20 2.6k 2.2× 877 0.9× 431 0.6× 1.2k 2.3× 312 0.7× 40 5.0k
Ingwer Borg Germany 26 280 0.2× 1.2k 1.1× 293 0.4× 1.1k 2.1× 448 1.0× 95 7.0k

Countries citing papers authored by Peter D. Hoff

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peter D. Hoff

This figure shows the co-authorship network connecting the top 25 collaborators of Peter D. Hoff. A scholar is included among the top collaborators of Peter D. Hoff 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 Peter D. Hoff. Peter D. Hoff 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.
Hoff, Peter D. & Christopher L. Osburn. (2025). Evaluation of the linear mixing model in fluorescence spectroscopy. Next research.. 2(3). 100540–100540.
2.
Bryan, Jordan, Jonathan Niles‐Weed, & Peter D. Hoff. (2025). The multirank likelihood for semiparametric canonical correlation analysis. Journal of Multivariate Analysis. 210. 105484–105484.
3.
Hoff, Peter D., et al.. (2024). Optimal Conformal Prediction for Small Areas. Journal of Survey Statistics and Methodology. 12(5). 1464–1488. 2 indexed citations
4.
Mulder, Joris & Peter D. Hoff. (2024). A latent variable approach for modeling relational data with multiple receivers. The Annals of Applied Statistics. 18(3).
5.
Hoff, Peter D., et al.. (2023). Equivariant estimation of Fréchet means. Biometrika. 110(4). 1055–1076. 1 indexed citations
6.
Hoff, Peter D., et al.. (2023). Core shrinkage covariance estimation for matrix-variate data. Journal of the Royal Statistical Society Series B (Statistical Methodology). 85(5). 1659–1679. 2 indexed citations
7.
Hoff, Peter D.. (2023). Bayes-optimal prediction with frequentist coverage control. Bernoulli. 29(2). 4 indexed citations
8.
Hoff, Peter D.. (2020). Smaller p -Values via Indirect Information. Journal of the American Statistical Association. 117(539). 1254–1269. 1 indexed citations
9.
Minhas, Shahryar, Peter D. Hoff, & Michael D. Ward. (2016). A new approach to analyzing coevolving longitudinal networks in international relations. Journal of Peace Research. 53(3). 491–505. 32 indexed citations
10.
Gerard, David & Peter D. Hoff. (2015). Equivariant minimax dominators of the MLE in the array normal model. Journal of Multivariate Analysis. 137. 32–49. 10 indexed citations
11.
Fosdick, Bailey K. & Peter D. Hoff. (2015). Testing and Modeling Dependencies Between a Network and Nodal Attributes. Journal of the American Statistical Association. 110(511). 1047–1056. 33 indexed citations
12.
Volfovsky, Alexander & Peter D. Hoff. (2014). Hierarchical array priors for ANOVA decompositions of cross-classified data. The Annals of Applied Statistics. 8(1). 19–47. 4 indexed citations
13.
Fosdick, Bailey K. & Peter D. Hoff. (2014). Separable factor analysis with applications to mortality data. The Annals of Applied Statistics. 8(1). 120–147. 23 indexed citations
14.
Hoff, Peter D., Bailey K. Fosdick, Alexander Volfovsky, & Katherine Stovel. (2013). Likelihoods for fixed rank nomination networks. Network Science. 1(3). 253–277. 21 indexed citations
15.
Volfovsky, Alexander & Peter D. Hoff. (2012). Hierarchical array priors for ANOVA decompositions. arXiv (Cornell University). 2 indexed citations
16.
Oron, Assaf P., et al.. (2011). Dose-Finding Designs: The Role of Convergence Properties. The International Journal of Biostatistics. 7(1). Article 39–Article 39. 33 indexed citations
17.
Ward, Michael D. & Peter D. Hoff. (2007). Persistent Patterns of International Commerce. Journal of Peace Research. 44(2). 157–175. 62 indexed citations
18.
Pearson, Cynthia, Mark A. Micek, Jane M. Simoni, et al.. (2007). Randomized Control Trial of Peer-Delivered, Modified Directly Observed Therapy for HAART in Mozambique. JAIDS Journal of Acquired Immune Deficiency Syndromes. 46(2). 238–244. 111 indexed citations
19.
Hoff, Peter D., et al.. (1989). Repolarization interactions between cardiac segments of varying action potential duration. American Heart Journal. 117(4). 854–861. 8 indexed citations
20.
Kupersmith, Joel & Peter D. Hoff. (1985). Occurrence and transmission of localized repolarization abnormalities in vitro. Journal of the American College of Cardiology. 6(1). 152–160. 20 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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