Igor Vajda
Impact in
- Statistics and Probability top 0.2%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
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- Statistical Mechanics and Entropy
Papers in
-
- Statistical Methods and Inference 46
- Advanced Statistical Methods and Models 40
- Statistical Distribution Estimation and Applications 13
- Statistical Methods and Bayesian Inference 10
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- Bayesian Methods and Mixture Models 12
- Co-authors
- Friedrich Liese (8 shared papers)Georges A. Darbellay (2 shared papers)Domingo Morales (25 shared papers)Leandro Pardo (22 shared papers)María del Carmen Pardo (5 shared papers)László Györfi (7 shared papers)Peter Harremoës (5 shared papers)M. Menéndez (6 shared papers)
In The Last Decade
Igor Vajda
97 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 146
- Statistics and Probability 1.1k
- Statistical and Nonlinear Physics 626
- Statistics, Probability and Uncertainty 239
- Applied Mathematics 254
- Artificial Intelligence 740
Countries citing papers authored by Igor Vajda
This map shows the geographic impact of Igor Vajda'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 Vajda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Vajda more than expected).
Fields of papers citing papers by Igor Vajda
This network shows the impact of papers produced by Igor Vajda. 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 Vajda. The network helps show where Igor Vajda may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Vajda, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 336 | |
| 2 | 1999 | 328 | |
| 3 | Theory of statistical inference and information | 1989 | 312 |
| 4 | Convex statistical distances | 1987 | 300 |
| 5 | 2003 | 128 | |
| 6 | 1995 | 72 | |
| 7 | 2000 | 65 | |
| 8 | 1972 | 56 | |
| 9 | 2001 | 51 | |
| 10 | 1970 | 49 | |
| 11 | 1997 | 48 | |
| 12 | 1997 | 26 | |
| 13 | 2001 | 24 | |
| 14 | 2012 | 24 | |
| 15 | 1996 | 24 | |
| 16 | 2003 | 23 | |
| 17 | 1993 | 23 | |
| 18 | 1998 | 23 | |
| 19 | Axioms for a-entropy of a generalized probability scheme. | 1968 | 22 |
| 20 | 1994 | 22 |
About Igor Vajda
Igor Vajda is a scholar working on Statistics and Probability, Artificial Intelligence, Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Computer Networks and Communications, having authored 107 papers that have together received 2.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (46 papers), Advanced Statistical Methods and Models (40 papers), Statistical Mechanics and Entropy (29 papers), Statistical Distribution Estimation and Applications (13 papers), Bayesian Methods and Mixture Models (12 papers), Advanced Statistical Process Monitoring (10 papers), Statistical Methods and Bayesian Inference (10 papers) and Distributed Sensor Networks and Detection Algorithms (6 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Statistical and Nonlinear Physics (626 citations), Statistics, Probability and Uncertainty (239 citations), Applied Mathematics (254 citations) and Artificial Intelligence (740 citations). Igor Vajda has collaborated with scholars based in Czechia, Spain and Germany. Frequent co-authors include Friedrich Liese, Georges A. Darbellay, Domingo Morales, Leandro Pardo, María del Carmen Pardo, László Györfi, Peter Harremoës, M. Menéndez, Alain Berlinet and Edward C. van der Meulen. Their work appears in journals such as Kybernetika, IEEE Transactions on Information Theory, Journal of Statistical Planning and Inference, Journal of Multivariate Analysis and Stochastic Processes and their Applications.
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.