Dmitriy Kunisky
Impact in
- Computational Mathematics top 10%
- Statistics and Probability top 10%
- Statistical Methods and Inference
- Random Matrices and Applications
Papers in
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- Limits and Structures in Graph Theory 5
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- Random Matrices and Applications 6
- Statistical Methods and Inference 3
- Co-authors
- Afonso S. Bandeira (6 shared papers)Alexander S. Wein (5 shared papers)Mario Andres Blanco (1 shared paper)Yibin Kang (1 shared paper)Wenyang Li (1 shared paper)Yong Wei (1 shared paper)Daniel Dan Liu (1 shared paper)HERSCHEL A. RABITZ (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (2 papers)Nature Communications (1 paper)Mathematics of Operations Research (1 paper)SIAM Journal on Discrete Mathematics (1 paper)Applied and Computational Harmonic Analysis (1 paper)
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
Dmitriy Kunisky
15 papers receiving 257 citations
Peers
Comparison fields: 5 of 47
- Computational Mathematics 14
- Statistics and Probability 50
- Oncology 84
- Discrete Mathematics and Combinatorics 16
- Numerical Analysis 10
Countries citing papers authored by Dmitriy Kunisky
This map shows the geographic impact of Dmitriy Kunisky'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 Kunisky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitriy Kunisky more than expected).
Fields of papers citing papers by Dmitriy Kunisky
This network shows the impact of papers produced by Dmitriy Kunisky. 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 Kunisky. The network helps show where Dmitriy Kunisky may publish in the future.
Co-authors
The 20 scholars most cited alongside Dmitriy Kunisky, 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 | 2018 | 132 | |
| 2 | 2022 | 46 | |
| 3 | 2020 | 15 | |
| 4 | 2020 | 14 | |
| 5 | 2022 | 13 | |
| 6 | 2023 | 13 | |
| 7 | 2021 | 9 | |
| 8 | 2024 | 6 | |
| 9 | 2019 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 |
About Dmitriy Kunisky
Dmitriy Kunisky is a scholar working on Discrete Mathematics and Combinatorics, Statistics and Probability, Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 17 papers that have together received 262 indexed citations. Recurring topics across this work include Random Matrices and Applications (6 papers), Complexity and Algorithms in Graphs (6 papers), Limits and Structures in Graph Theory (5 papers), Sparse and Compressive Sensing Techniques (5 papers), Advanced Optimization Algorithms Research (3 papers), Statistical Methods and Inference (3 papers), Mathematical Analysis and Transform Methods (2 papers) and Tensor decomposition and applications (2 papers). The work is most often cited by research in Computational Mathematics (14 citations), Statistics and Probability (50 citations), Oncology (84 citations), Discrete Mathematics and Combinatorics (16 citations) and Numerical Analysis (10 citations). Dmitriy Kunisky has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Afonso S. Bandeira, Alexander S. Wein, Mario Andres Blanco, Yibin Kang, Wenyang Li, Yong Wei, Daniel Dan Liu, HERSCHEL A. RABITZ, Brian J. Ell and Nicole M. Aiello. Their work appears in journals such as IEEE Transactions on Information Theory, Nature Communications, Mathematics of Operations Research, SIAM Journal on Discrete Mathematics and Applied and Computational Harmonic 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.