Dmitriy Katz
Impact in
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
-
- Stochastic processes and statistical mechanics
Papers in
-
- Markov Chains and Monte Carlo Methods 7
- Statistical Methods and Inference 2
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- Bayesian Modeling and Causal Inference 3
- Bayesian Methods and Mixture Models 3
- Co-authors
- David Gamarnik (8 shared papers)Jayant Kalagnanam (2 shared papers)Mark S. Squillante (2 shared papers)Soumyadip Ghosh (2 shared papers)Xiaoxuan Zhang (1 shared paper)Eugene A. Feinberg (1 shared paper)Sidhant Misra (1 shared paper)Dan A. Iancu (1 shared paper)
- Journals
- Algorithmica (2 papers)The Annals of Applied Probability (1 paper)Journal of Computer and System Sciences (1 paper)Random Structures and Algorithms (1 paper)INFORMS journal on computing (1 paper)
- Partner nations
- United StatesNetherlandsIsrael
In The Last Decade
Dmitriy Katz
16 papers receiving 142 citations
Peers
Comparison fields: 5 of 35
- Statistics and Probability 54
- Mathematical Physics 37
- Computational Theory and Mathematics 37
- Discrete Mathematics and Combinatorics 5
- Computer Graphics and Computer-Aided Design 5
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 22 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 | 2010 | 30 | |
| 2 | Correlation decay and deterministic FPTAS for counting list-colorings of a graph | 2007 | 21 |
| 3 | 2012 | 17 | |
| 4 | 2011 | 16 | |
| 5 | 2013 | 13 | |
| 6 | 2009 | 13 | |
| 7 | 2012 | 7 | |
| 8 | 2009 | 7 | |
| 9 | 2012 | 6 | |
| 10 | 2007 | 6 | |
| 11 | 2010 | 6 | |
| 12 | 2016 | 3 | |
| 13 | Sample Efficient Active Learning of Causal Trees | 2019 | 2 |
| 14 | Active Structure Learning of Causal DAGs via Directed Clique Trees | 2020 | 2 |
| 15 | 2014 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2009 | 0 |
About Dmitriy Katz
Dmitriy Katz is a scholar working on Statistics and Probability, Artificial Intelligence, Mathematical Physics, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 17 papers that have together received 151 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (7 papers), Stochastic processes and statistical mechanics (4 papers), Bayesian Modeling and Causal Inference (3 papers), Bayesian Methods and Mixture Models (3 papers), Advanced Queuing Theory Analysis (2 papers), Optimization and Search Problems (2 papers), Statistical Methods and Inference (2 papers) and Advanced Graph Theory Research (2 papers). The work is most often cited by research in Statistics and Probability (54 citations), Mathematical Physics (37 citations), Computational Theory and Mathematics (37 citations), Discrete Mathematics and Combinatorics (5 citations) and Computer Graphics and Computer-Aided Design (5 citations). Dmitriy Katz has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include David Gamarnik, Jayant Kalagnanam, Mark S. Squillante, Soumyadip Ghosh, Xiaoxuan Zhang, Eugene A. Feinberg, Sidhant Misra, Xiaoxuan Zhang, Dan A. Iancu and Erik D. Demaine. Their work appears in journals such as Algorithmica, The Annals of Applied Probability, Journal of Computer and System Sciences, Random Structures and Algorithms and INFORMS journal on computing.
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.