Ágnes Cseh
- Economics and Econometrics
- Psychiatry and Mental health
- Clinical Psychology
- Management Science and Operations Research top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- David F. ManlovePirkko RäsänenMatti IsohanniJari TiihonenPál CzoborMatti K. KarvonenTero HallikainenIrma Kotilainen
- Topics
- Game Theory and Voting Systems (17 papers)Complexity and Algorithms in Graphs (12 papers)Auction Theory and Applications (10 papers)
- Cited by
- Management Science and Operations ResearchPsychiatry and Mental healthEconomics and Econometrics
- Partner nations
- HungaryGermanyUnited Kingdom
In The Last Decade
Ágnes Cseh
20 papers receiving 163 citations
Peers
Comparison fields: 5 of 47
- Economics and Econometrics 57
- Psychiatry and Mental health 46
- Clinical Psychology 40
- Management Science and Operations Research 39
- Cellular and Molecular Neuroscience 37
Countries citing papers authored by Ágnes Cseh
This map shows the geographic impact of Ágnes Cseh'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 Ágnes Cseh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ágnes Cseh more than expected).
Fields of papers citing papers by Ágnes Cseh
This network shows the impact of papers produced by Ágnes Cseh. 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 Ágnes Cseh. The network helps show where Ágnes Cseh may publish in the future.
Co-authorship network of co-authors of Ágnes Cseh
This figure shows the co-authorship network connecting the top 25 collaborators of Ágnes Cseh. A scholar is included among the top collaborators of Ágnes Cseh 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 Ágnes Cseh. Ágnes Cseh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | Selected open problems in Matching Under Preferences | 1 |
| 15 | 4 | |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 96 |
About Ágnes Cseh
Ágnes Cseh is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Economics and Econometrics, having authored 25 papers that have together received 169 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (17 papers), Complexity and Algorithms in Graphs (12 papers) and Auction Theory and Applications (10 papers). The work is most often cited by research in Management Science and Operations Research (39 citations), Psychiatry and Mental health (46 citations) and Economics and Econometrics (57 citations). Ágnes Cseh has collaborated with scholars based in Hungary, Germany and United Kingdom. Frequent co-authors include David F. Manlove, Pirkko Räsänen, Matti Isohanni, Jari Tiihonen, Pál Czobor, Matti K. Karvonen, Tero Hallikainen, Irma Kotilainen, Takuya Saito and Jan Volavka. Their work appears in journals such as Mathematical Programming, Games and Economic Behavior and Discrete Applied Mathematics.
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.