Mario Peruggia
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
Papers in
-
- Statistical Methods and Bayesian Inference 10
- Statistical Methods and Inference 8
- Statistical Distribution Estimation and Applications 3
- Advanced Statistical Methods and Models 3
- Markov Chains and Monte Carlo Methods 2
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- Bayesian Methods and Mixture Models 8
- Co-authors
- Steven N. MacEachern (8 shared papers)Jason C. Hsu (2 shared papers)Trisha Van Zandt (8 shared papers)Peter F. Craigmile (4 shared papers)Jason C. Hsu (1 shared paper)Thomas J. Santner (3 shared papers)Lynn A. D’Andrea (1 shared paper)Jeffrey T. Barth (1 shared paper)
- Journals
- Journal of the American Statistical Association (6 papers)Journal of Computational and Graphical Statistics (5 papers)Bayesian Analysis (2 papers)Journal of Mathematical Psychology (2 papers)Computational Brain & Behavior (2 papers)
- Partner nations
- United StatesSwitzerlandNepal
In The Last Decade
Mario Peruggia
34 papers receiving 480 citations
Peers
Comparison fields: 5 of 134
- Statistics and Probability 80
- Endocrine and Autonomic Systems 33
- Statistics, Probability and Uncertainty 35
- General Decision Sciences 9
- Management Science and Operations Research 55
Countries citing papers authored by Mario Peruggia
This map shows the geographic impact of Mario Peruggia'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 Mario Peruggia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Peruggia more than expected).
Fields of papers citing papers by Mario Peruggia
This network shows the impact of papers produced by Mario Peruggia. 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 Mario Peruggia. The network helps show where Mario Peruggia may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Peruggia, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data | 2003 | 143 |
| 2 | Total Least Squares and Errors-in-Variables Modeling: Analysis, Algorithms and Applications | 2003 | 72 |
| 3 | 2006 | 33 | |
| 4 | 1994 | 31 | |
| 5 | 1997 | 26 | |
| 6 | 2010 | 26 | |
| 7 | 2007 | 24 | |
| 8 | 2000 | 23 | |
| 9 | 1993 | 21 | |
| 10 | 2000 | 13 | |
| 11 | 1994 | 10 | |
| 12 | 2016 | 10 | |
| 13 | 2016 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2001 | 7 | |
| 16 | 1997 | 7 | |
| 17 | 2013 | 6 | |
| 18 | 2000 | 6 | |
| 19 | 1996 | 5 | |
| 20 | 2006 | 4 |
About Mario Peruggia
Mario Peruggia is a scholar working on Statistics and Probability, Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology and Management Science and Operations Research, having authored 36 papers that have together received 511 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (10 papers), Statistical Methods and Inference (8 papers), Bayesian Methods and Mixture Models (8 papers), Neural and Behavioral Psychology Studies (5 papers), Statistical Distribution Estimation and Applications (3 papers), Optimal Experimental Design Methods (3 papers), Advanced Statistical Methods and Models (3 papers) and Markov Chains and Monte Carlo Methods (2 papers). The work is most often cited by research in Statistics and Probability (80 citations), Endocrine and Autonomic Systems (33 citations), Statistics, Probability and Uncertainty (35 citations), General Decision Sciences (9 citations) and Management Science and Operations Research (55 citations). Mario Peruggia has collaborated with scholars based in United States, Switzerland and Nepal. Frequent co-authors include Steven N. MacEachern, Jason C. Hsu, Trisha Van Zandt, Peter F. Craigmile, Jason C. Hsu, Thomas J. Santner, Lynn A. D’Andrea, Jeffrey T. Barth, Michael L. Johnson and Robert H. Diamond. Their work appears in journals such as Journal of the American Statistical Association, Journal of Computational and Graphical Statistics, Bayesian Analysis, Journal of Mathematical Psychology and Computational Brain & Behavior.
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.