Igor Prünster
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Artificial Intelligence top 1%
- Bayesian Methods and Mixture Models
- Algorithms and Data Compression
- Gaussian Processes and Bayesian Inference
Papers in
-
- Bayesian Methods and Mixture Models 56
- Algorithms and Data Compression 4
-
- Statistical Methods and Inference 31
- Statistical Methods and Bayesian Inference 25
- Statistical Distribution Estimation and Applications 9
- Co-authors
- Antonio Lijoi (49 shared papers)Ramsés H. Mena (9 shared papers)Lancelot F. James (5 shared papers)Stefano Favaro (8 shared papers)Eugenio Regazzini (1 shared paper)Stephen G. Walker (8 shared papers)Pierpaolo De Blasi (3 shared papers)Antonio Canale (3 shared papers)
- Journals
- Biometrika (6 papers)Scandinavian Journal of Statistics (5 papers)Journal of the American Statistical Association (4 papers)The Annals of Applied Probability (3 papers)The Annals of Statistics (3 papers)
- Partner nations
- ItalyUnited KingdomMexico
In The Last Decade
Igor Prünster
59 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Statistics and Probability 853
- Artificial Intelligence 1.1k
- Mathematical Physics 188
- Finance 137
- Management Science and Operations Research 58
Countries citing papers authored by Igor Prünster
This map shows the geographic impact of Igor Prünster'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 Igor Prünster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Prünster more than expected).
Fields of papers citing papers by Igor Prünster
This network shows the impact of papers produced by Igor Prünster. 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 Igor Prünster. The network helps show where Igor Prünster may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Prünster, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 138 | |
| 2 | 2007 | 128 | |
| 3 | 2005 | 114 | |
| 4 | 2007 | 99 | |
| 5 | 2008 | 98 | |
| 6 | 2013 | 93 | |
| 7 | 2006 | 42 | |
| 8 | 2005 | 29 | |
| 9 | 2013 | 28 | |
| 10 | 2019 | 26 | |
| 11 | 2005 | 26 | |
| 12 | 2007 | 25 | |
| 13 | 2012 | 24 | |
| 14 | Investigating nonparametric priors with Gibbs structure | 2008 | 23 |
| 15 | 2017 | 23 | |
| 16 | 2012 | 23 | |
| 17 | 2013 | 19 | |
| 18 | 2008 | 18 | |
| 19 | 2016 | 18 | |
| 20 | 2005 | 17 |
About Igor Prünster
Igor Prünster is a scholar working on Artificial Intelligence, Statistics and Probability, Mathematical Physics, Molecular Biology and Genetics, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (56 papers), Statistical Methods and Inference (31 papers), Statistical Methods and Bayesian Inference (25 papers), Statistical Distribution Estimation and Applications (9 papers), Stochastic processes and statistical mechanics (8 papers), Genetic and phenotypic traits in livestock (4 papers), Gene expression and cancer classification (4 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Statistics and Probability (853 citations), Artificial Intelligence (1.1k citations), Mathematical Physics (188 citations), Finance (137 citations) and Management Science and Operations Research (58 citations). Igor Prünster has collaborated with scholars based in Italy, United Kingdom and Mexico. Frequent co-authors include Antonio Lijoi, Ramsés H. Mena, Lancelot F. James, Stefano Favaro, Eugenio Regazzini, Stephen G. Walker, Pierpaolo De Blasi, Antonio Canale, Luis E. Nieto‐Barajas and Giovanni Peccati. Their work appears in journals such as Biometrika, Scandinavian Journal of Statistics, Journal of the American Statistical Association, The Annals of Applied Probability and The Annals of Statistics.
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.