Ágnes Vathy-Fogarassy

32 papers and 227 indexed citations i.

About

Ágnes Vathy-Fogarassy is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Ágnes Vathy-Fogarassy has authored 32 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Ágnes Vathy-Fogarassy’s work include Advanced Clustering Algorithms Research (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers) and Gene Regulatory Network Analysis (3 papers). Ágnes Vathy-Fogarassy is often cited by papers focused on Advanced Clustering Algorithms Research (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers) and Gene Regulatory Network Analysis (3 papers). Ágnes Vathy-Fogarassy collaborates with scholars based in Hungary, United States and United Kingdom. Ágnes Vathy-Fogarassy's co-authors include János Abonyi, István Kenessey, Tamás Forster, Miklós Kásler, István Kósa, Balázs Feil, István Vassányi, Krisztina Tóth, Péter Nagy and Gábor Veress and has published in prestigious journals such as PLoS ONE, Scientific Reports and Energy.

In The Last Decade

Co-authorship network of co-authors of Ágnes Vathy-Fogarassy i

Fields of papers citing papers by Ágnes Vathy-Fogarassy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ágnes Vathy-Fogarassy. 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 Vathy-Fogarassy. The network helps show where Ágnes Vathy-Fogarassy may publish in the future.

Countries citing papers authored by Ágnes Vathy-Fogarassy

Since Specialization
Citations

This map shows the geographic impact of Ágnes Vathy-Fogarassy'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 Vathy-Fogarassy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ágnes Vathy-Fogarassy more than expected).

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.

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