György Surján

29 papers and 353 indexed citations i.

About

György Surján is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, György Surján has authored 29 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Artificial Intelligence and 6 papers in Health Information Management. Recurrent topics in György Surján’s work include Biomedical Text Mining and Ontologies (15 papers), Semantic Web and Ontologies (7 papers) and COVID-19 Clinical Research Studies (5 papers). György Surján is often cited by papers focused on Biomedical Text Mining and Ontologies (15 papers), Semantic Web and Ontologies (7 papers) and COVID-19 Clinical Research Studies (5 papers). György Surján collaborates with scholars based in Hungary, France and Switzerland. György Surján's co-authors include Zoltán Vokó, G Molnár, Zoltán Kiss, István Wittmann, Attila Gyenesei, Anna Horváth, Róbert Herczeg, Bernadett Pályi, László P. Kollár and Tamás Vicsek and has published in prestigious journals such as Frontiers in Immunology, Clinical Microbiology and Infection and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of György Surján i

Fields of papers citing papers by György Surján

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by György Surján. 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 György Surján. The network helps show where György Surján may publish in the future.

Countries citing papers authored by György Surján

Since Specialization
Citations

This map shows the geographic impact of György Surján'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 György Surján with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites György Surján 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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