Ágnes Cseh
About
Ágnes Cseh is a scholar working on Economics and Econometrics, Computational Theory and Mathematics and Management Science and Operations Research.
According to data from OpenAlex, Ágnes Cseh has authored 26 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Economics and Econometrics, 15 papers in Computational Theory and Mathematics and 13 papers in Management Science and Operations Research. Recurrent topics in Ágnes Cseh’s work include Game Theory and Voting Systems (19 papers), Combinatorial Optimization and Complexity Theory (14 papers) and Auction Theory and Applications (11 papers). Ágnes Cseh is often cited by papers focused on Game Theory and Voting Systems (19 papers), Combinatorial Optimization and Complexity Theory (14 papers) and Auction Theory and Applications (11 papers). Ágnes Cseh collaborates with scholars based in Hungary, Germany and United Kingdom. Ágnes Cseh's co-authors include David F. Manlove, Telikepalli Kavitha, Tamás Fleiner, Jari Tiihonen, Irma Kotilainen, Pirkko Räsänen, Tero Hallikainen, Marjo‐Riitta Järvelin, Herbert M. Lachman and Karen A. Nolan and has published in prestigious journals such as Mathematical Programming, Discrete Applied Mathematics and Algorithmica.
In The Last Decade
Co-authorship network of co-authors of Ágnes Cseh i
Fields of papers citing papers by Ágnes Cseh
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Ágnes Cseh. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ágnes Cseh may publish in the future.
Countries citing papers authored by Ágnes Cseh
Since SpecializationCitations
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).
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