Irina Rish
Impact in
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- Constraint Satisfaction and Optimization
- Software System Performance and Reliability
- Artificial Intelligence top 1%
- Bayesian Modeling and Causal Inference
- Text and Document Classification Technologies
Papers in
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- Bayesian Modeling and Causal Inference 15
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- Software System Performance and Reliability 11
- Constraint Satisfaction and Optimization 8
- Co-authors
- Rina Dechter (8 shared papers)Genady Ya. Grabarnik (9 shared papers)Guillermo Cecchi (31 shared papers)Alina Beygelzimer (9 shared papers)Djallel Bouneffouf (11 shared papers)S. Ma (4 shared papers)Ralph Linsker (2 shared papers)Charų C. Aggarwal (1 shared paper)
- Journals
- IBM Journal of Research and Development (3 papers)Scientific Reports (3 papers)PLoS ONE (2 papers)Lecture notes in computer science (11 papers)IBM Systems Journal (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Irina Rish
102 papers receiving 4.2k citations
Irina Rish's Hit Papers
Peers
Comparison fields: 5 of 168
- Computer Networks and Communications 847
- Artificial Intelligence 1.3k
- Health Information Management 215
- Information Systems 461
- Statistical and Nonlinear Physics 170
Countries citing papers authored by Irina Rish
This map shows the geographic impact of Irina Rish'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 Irina Rish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Rish more than expected).
Fields of papers citing papers by Irina Rish
This network shows the impact of papers produced by Irina Rish. 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 Irina Rish. The network helps show where Irina Rish may publish in the future.
Co-authors
The 25 scholars most cited alongside Irina Rish, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An empirical study of the naive Bayes classifier Hit paper breakdown → | 2001 | 1922 |
| 2 | 2003 | 219 | |
| 3 | 2005 | 176 | |
| 4 | 2020 | 145 | |
| 5 | 2008 | 144 | |
| 6 | 2005 | 133 | |
| 7 | 2022 | 131 | |
| 8 | 2014 | 120 | |
| 9 | 2003 | 119 | |
| 10 | 1994 | 96 | |
| 11 | 2000 | 77 | |
| 12 | 2004 | 66 | |
| 13 | 2012 | 49 | |
| 14 | Summarizing CSP hardness with continuous probability distributions | 1997 | 40 |
| 15 | 2017 | 40 | |
| 16 | Recognizing End-User Transactions in Performance Management | 2000 | 37 |
| 17 | 2003 | 36 | |
| 18 | 2022 | 36 | |
| 19 | 2002 | 35 | |
| 20 | Mini-buckets: a general scheme for approximating inference | 2002 | 33 |
About Irina Rish
Irina Rish is a scholar working on Artificial Intelligence, Computer Networks and Communications, Cognitive Neuroscience, Statistics and Probability and Management Science and Operations Research, having authored 111 papers that have together received 4.4k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (15 papers), Functional Brain Connectivity Studies (14 papers), Software System Performance and Reliability (11 papers), Statistical Methods and Inference (11 papers), Engineering and Test Systems (9 papers), Advanced Bandit Algorithms Research (8 papers), Constraint Satisfaction and Optimization (8 papers) and Sparse and Compressive Sensing Techniques (6 papers). The work is most often cited by research in Computer Networks and Communications (847 citations), Artificial Intelligence (1.3k citations), Health Information Management (215 citations), Information Systems (461 citations) and Statistical and Nonlinear Physics (170 citations). Irina Rish has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Rina Dechter, Genady Ya. Grabarnik, Guillermo Cecchi, Alina Beygelzimer, Djallel Bouneffouf, S. Ma, Ralph Linsker, Charų C. Aggarwal, G. Grinstein and Ricardo Vilalta. Their work appears in journals such as IBM Journal of Research and Development, Scientific Reports, PLoS ONE, Lecture notes in computer science and IBM Systems Journal.
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.