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 59
- Algorithms and Data Compression 4
-
- Statistical Methods and Inference 32
- Statistical Methods and Bayesian Inference 27
- Statistical Distribution Estimation and Applications 9
- Co-authors
- Antonio Lijoi (52 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)Matteo Ruggiero (1 shared paper)
- Journals
- Biometrika (6 papers)Journal of the American Statistical Association (5 papers)Scandinavian Journal of Statistics (5 papers)The Annals of Applied Probability (4 papers)Bayesian Analysis (3 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Igor Prünster
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 79
- Statistics and Probability 976
- Artificial Intelligence 1.3k
- Mathematical Physics 230
- Finance 159
- Management Science and Operations Research 70
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 148 | |
| 2 | 2007 | 136 | |
| 3 | 2005 | 120 | |
| 4 | 2010 | 112 | |
| 5 | 2008 | 105 | |
| 6 | 2007 | 102 | |
| 7 | 2013 | 99 | |
| 8 | 2006 | 46 | |
| 9 | 2005 | 29 | |
| 10 | 2005 | 29 | |
| 11 | 2013 | 28 | |
| 12 | 2007 | 26 | |
| 13 | 2019 | 26 | |
| 14 | Investigating nonparametric priors with Gibbs structure | 2008 | 25 |
| 15 | 2012 | 25 | |
| 16 | 2012 | 24 | |
| 17 | 2017 | 23 | |
| 18 | 2008 | 21 | |
| 19 | 2013 | 19 | |
| 20 | 2016 | 18 |
About Igor Prünster
Igor Prünster is a scholar working on Artificial Intelligence, Statistics and Probability, Mathematical Physics, Molecular Biology and Genetics, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (59 papers), Statistical Methods and Inference (32 papers), Statistical Methods and Bayesian Inference (27 papers), Statistical Distribution Estimation and Applications (9 papers), Stochastic processes and statistical mechanics (8 papers), Algorithms and Data Compression (4 papers), Genetic and phenotypic traits in livestock (4 papers) and Financial Risk and Volatility Modeling (4 papers). The work is most often cited by research in Statistics and Probability (976 citations), Artificial Intelligence (1.3k citations), Mathematical Physics (230 citations), Finance (159 citations) and Management Science and Operations Research (70 citations). Igor Prünster has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Antonio Lijoi, Ramsés H. Mena, Lancelot F. James, Stefano Favaro, Eugenio Regazzini, Stephen G. Walker, Pierpaolo De Blasi, Matteo Ruggiero, Antonio Canale and Luis E. Nieto‐Barajas. Their work appears in journals such as Biometrika, Journal of the American Statistical Association, Scandinavian Journal of Statistics, The Annals of Applied Probability and Bayesian 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.