Gábor Erdélyi
- Economics and Econometrics top 5%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Management Science and Operations Research top 5%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Jörg RotheMichael R. FellowsMartin LacknerDagmar BrußDorothea BaumeisterOlivia Johanna ErdélyiLane A. HemaspaandraEdith Elkind
- Topics
- Game Theory and Voting Systems (15 papers)Complexity and Algorithms in Graphs (8 papers)Internet Traffic Analysis and Secure E-voting (6 papers)
- Cited by
- Management Science and Operations ResearchEconomics and EconometricsComputational Theory and Mathematics
- Partner nations
- GermanyNew ZealandUnited States
In The Last Decade
Gábor Erdélyi
20 papers receiving 221 citations
Peers
Comparison fields: 5 of 29
- Economics and Econometrics 174
- Artificial Intelligence 126
- Computational Theory and Mathematics 93
- Management Science and Operations Research 88
- Atomic and Molecular Physics, and Optics 20
Countries citing papers authored by Gábor Erdélyi
This map shows the geographic impact of Gábor Erdélyi'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 Gábor Erdélyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Erdélyi more than expected).
Fields of papers citing papers by Gábor Erdélyi
This network shows the impact of papers produced by Gábor Erdélyi. 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 Gábor Erdélyi. The network helps show where Gábor Erdélyi may publish in the future.
Co-authorship network of co-authors of Gábor Erdélyi
This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Erdélyi. A scholar is included among the top collaborators of Gábor Erdélyi 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 Gábor Erdélyi. Gábor Erdélyi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 7 | |
| 10 | 23 | |
| 11 | 16 | |
| 12 | 18 | |
| 13 | 21 | |
| 14 | 9 | |
| 15 | 20 | |
| 16 | Parameterized control complexity in bucklin voting and in fallback voting | 9 |
| 17 | 4 | |
| 18 | 11 | |
| 19 | 40 | |
| 20 | Quantum Cryptography: A Survey | 1 |
About Gábor Erdélyi
Gábor Erdélyi is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Economics and Econometrics, having authored 20 papers that have together received 227 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (15 papers), Complexity and Algorithms in Graphs (8 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). The work is most often cited by research in Management Science and Operations Research (88 citations), Economics and Econometrics (174 citations) and Computational Theory and Mathematics (93 citations). Gábor Erdélyi has collaborated with scholars based in Germany, New Zealand and United States. Frequent co-authors include Jörg Rothe, Michael R. Fellows, Martin Lackner, Dagmar Bruß, Dorothea Baumeister, Olivia Johanna Erdélyi, Lane A. Hemaspaandra, Edith Elkind, Holger Spakowski and Henning Fernau. Their work appears in journals such as ACM Computing Surveys, Theoretical Computer Science and Journal of Computer and System Sciences.
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.