Dmitriy Katz
Impact in
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
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- Stochastic processes and statistical mechanics
Papers in
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- Markov Chains and Monte Carlo Methods 6
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- Stochastic processes and statistical mechanics 4
- Co-authors
- David Gamarnik (7 shared papers)Kirk R. Pruhs (2 shared papers)Ho-Leung Chan (2 shared papers)Nikhil Bansal (2 shared papers)Mark S. Squillante (2 shared papers)Soumyadip Ghosh (2 shared papers)Jayant Kalagnanam (2 shared papers)Sidhant Misra (1 shared paper)
- Journals
- Algorithmica (2 papers)The Annals of Applied Probability (1 paper)Journal of Computer and System Sciences (1 paper)INFORMS journal on computing (1 paper)Journal of Statistical Physics (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Dmitriy Katz
16 papers receiving 195 citations
Peers
Comparison fields: 5 of 38
- Statistics and Probability 57
- Mathematical Physics 39
- Computational Theory and Mathematics 49
- Computer Networks and Communications 64
- Industrial and Manufacturing Engineering 22
Countries citing papers authored by Dmitriy Katz
This map shows the geographic impact of Dmitriy Katz'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 Dmitriy Katz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitriy Katz more than expected).
Fields of papers citing papers by Dmitriy Katz
This network shows the impact of papers produced by Dmitriy Katz. 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 Dmitriy Katz. The network helps show where Dmitriy Katz may publish in the future.
Co-authors
The 25 scholars most cited alongside Dmitriy Katz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 42 | |
| 2 | 2010 | 32 | |
| 3 | 2012 | 24 | |
| 4 | 2013 | 21 | |
| 5 | 2009 | 18 | |
| 6 | 2011 | 17 | |
| 7 | 2012 | 10 | |
| 8 | 2012 | 9 | |
| 9 | 2010 | 8 | |
| 10 | 2007 | 8 | |
| 11 | 2009 | 7 | |
| 12 | 2016 | 4 | |
| 13 | 2019 | 2 | |
| 14 | 2014 | 1 | |
| 15 | Sample Efficient Active Learning of Causal Trees | 2019 | 1 |
| 16 | Optimal Sampling Strategies for Minimum Latency Routing with Imperfect Link State | 2012 | 1 |
| 17 | 2009 | 0 | |
| 18 | 2024 | 0 |
About Dmitriy Katz
Dmitriy Katz is a scholar working on Statistics and Probability, Mathematical Physics, Computer Networks and Communications, Industrial and Manufacturing Engineering and Numerical Analysis, having authored 18 papers that have together received 205 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (6 papers), Stochastic processes and statistical mechanics (4 papers), Optimization and Search Problems (3 papers), Bayesian Methods and Mixture Models (2 papers), Advanced Queuing Theory Analysis (2 papers), Electric Power System Optimization (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Advanced Graph Theory Research (2 papers). The work is most often cited by research in Statistics and Probability (57 citations), Mathematical Physics (39 citations), Computational Theory and Mathematics (49 citations), Computer Networks and Communications (64 citations) and Industrial and Manufacturing Engineering (22 citations). Dmitriy Katz has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include David Gamarnik, Kirk R. Pruhs, Ho-Leung Chan, Nikhil Bansal, Mark S. Squillante, Soumyadip Ghosh, Jayant Kalagnanam, Sidhant Misra, Eugene Aleksandrovich Feinberg and Xiaoxuan Zhang. Their work appears in journals such as Algorithmica, The Annals of Applied Probability, Journal of Computer and System Sciences, INFORMS journal on computing and Journal of Statistical Physics.
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.