MTA-SZTE Research Group on Artificial Intelligence

712 papers and 13.1k indexed citations i.

About

In recent decades, authors affiliated with MTA-SZTE Research Group on Artificial Intelligence have published 712 papers, which have received a total of 13.1k indexed citations. Scholars at this organization have produced 133 papers in Artificial Intelligence, 93 papers in Molecular Biology and 68 papers in Psychiatry and Mental health on the topics of Speech Recognition and Synthesis (53 papers), Tryptophan and brain disorders (47 papers) and Software Engineering Research (41 papers). Their work is cited by papers focused on Molecular Biology (1.9k citations), Artificial Intelligence (1.7k citations) and Psychiatry and Mental health (1.6k citations). Authors at MTA-SZTE Research Group on Artificial Intelligence collaborate with scholars in Hungary, United States and Germany and have published in prestigious journals including Angewandte Chemie International Edition, Nucleic Acids Research and Nature Communications. Some of MTA-SZTE Research Group on Artificial Intelligence's most productive authors include László Vécsei, József Dombi, Masaru Tanaka, László Tóth, Gábor Gosztolya, Zoltán Fodor, S. D. Katz, Richàrd Farkas, György Szarvas and Veronika Vincze.

In The Last Decade

Fields of papers published by authors at MTA-SZTE Research Group on Artificial Intelligence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with MTA-SZTE Research Group on Artificial Intelligence at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with MTA-SZTE Research Group on Artificial Intelligence at the time of their publication.

Countries citing scholars working at MTA-SZTE Research Group on Artificial Intelligence

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at MTA-SZTE Research Group on Artificial Intelligence. 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 papers produced at MTA-SZTE Research Group on Artificial Intelligence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MTA-SZTE Research Group on Artificial Intelligence 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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