Dmytro Korzhyk
- Civil and Structural Engineering top 5%
- Management Science and Operations Research top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Information Systems top 10%
- Co-authors
- Vincent ConitzerRonald ParrMilind TambeMichal PěchoučekManish JainOndřej VaněkChristopher KiekintveldZhengyu Yin
- Topics
- Game Theory and Applications (5 papers)Infrastructure Resilience and Vulnerability Analysis (5 papers)Evacuation and Crowd Dynamics (3 papers)
- Cited by
- Civil and Structural EngineeringManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Journals
- Autonomous Agents and Multi-Agent SystemsInternational Joint Conference on Artificial IntelligenceProceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United StatesCzechia
In The Last Decade
Dmytro Korzhyk
7 papers receiving 340 citations
Peers
Comparison fields: 5 of 43
- Civil and Structural Engineering 196
- Management Science and Operations Research 103
- Computer Networks and Communications 100
- Artificial Intelligence 68
- Information Systems 58
Countries citing papers authored by Dmytro Korzhyk
This map shows the geographic impact of Dmytro Korzhyk'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 Dmytro Korzhyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmytro Korzhyk more than expected).
Fields of papers citing papers by Dmytro Korzhyk
This network shows the impact of papers produced by Dmytro Korzhyk. 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 Dmytro Korzhyk. The network helps show where Dmytro Korzhyk may publish in the future.
Co-authorship network of co-authors of Dmytro Korzhyk
This figure shows the co-authorship network connecting the top 25 collaborators of Dmytro Korzhyk. A scholar is included among the top collaborators of Dmytro Korzhyk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dmytro Korzhyk. Dmytro Korzhyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 31 | |
| 3 | 81 | |
| 4 | 42 | |
| 5 | 28 | |
| 6 | 61 | |
| 7 | 101 |
About Dmytro Korzhyk
Dmytro Korzhyk is a scholar working on Management Science and Operations Research, Civil and Structural Engineering and Ocean Engineering, having authored 7 papers that have together received 352 indexed citations. Recurring topics across this work include Game Theory and Applications (5 papers), Infrastructure Resilience and Vulnerability Analysis (5 papers) and Evacuation and Crowd Dynamics (3 papers). The work is most often cited by research in Civil and Structural Engineering (196 citations), Management Science and Operations Research (103 citations) and Statistics, Probability and Uncertainty (34 citations). Dmytro Korzhyk has collaborated with scholars based in United States and Czechia. Frequent co-authors include Vincent Conitzer, Ronald Parr, Milind Tambe, Michal Pěchouček, Manish Jain, Ondřej Vaněk, Christopher Kiekintveld, Zhengyu Yin and Joshua Letchford. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, International Joint Conference on Artificial Intelligence and Proceedings of the AAAI Conference on Artificial Intelligence.
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.