MTA-SZTE Research Group on Artificial Intelligence

19.6k citations
1.0k papers ·

Impact in

Papers in

    • Tryptophan and brain disorders 56
    • Software Reliability and Analysis Research 33
    • Software Testing and Debugging Techniques 31

MTA-SZTE Research Group on Artificial Intelligence

954 papers receiving 19.3k citations

Peers

MTA-SZTE Research Group on Artificial Intelligence
Comparison fields: 5 of 237
  • Biological Psychiatry 1.3k
  • Behavioral Neuroscience 662
  • Software 633
  • Psychiatry and Mental health 1.9k
  • Neurology 725
Replace I.R.C.C.S. Oasi Maria SS with:
I.R.C.C.S. Oasi Maria SS Italy
Bernstein Center for Computational Neuroscience Tübingen Germany
Technische Hochschule Mannheim Germany
Institute of Mathematics and Computer Science Moldova
Macedonian Academy of Sciences and Arts North Macedonia
Montavid Thermodynamic Research Group Hungary
Institute of Biocybernetics and Biomedical Engineering Poland
Institute of Biophysics Bulgaria
Frankfurt University of Applied Sciences Germany
Max Planck Innovation Germany
MTA-SZTE Research Group on Artificial Intelligence relative to I.R.C.C.S. Oasi Maria SS Italy I.R.C.C.S. Oasi Maria SS's profile →
Citations per field
00.5×3.1×
I.R.C.C.S. Oasi Maria SS · 1×
Citations per year

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).

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.

About MTA-SZTE Research Group on Artificial Intelligence

In recent decades, authors affiliated with MTA-SZTE Research Group on Artificial Intelligence have published 1.0k papers, which have received a total of 19.6k indexed citations . Scholars at this organization have produced 56 papers in Biological Psychiatry, 42 papers in Software, 32 papers in Behavioral Neuroscience, 69 papers in Signal Processing and 174 papers in Artificial Intelligence on the topics of Speech Recognition and Synthesis (61 papers), Tryptophan and brain disorders (56 papers), Software Engineering Research (49 papers), Speech and Audio Processing (42 papers), Migraine and Headache Studies (35 papers), Software Reliability and Analysis Research (33 papers), Stress Responses and Cortisol (32 papers) and Software Testing and Debugging Techniques (31 papers). Their work is cited by papers focused on Biological Psychiatry (1.3k citations), Behavioral Neuroscience (662 citations), Software (633 citations), Psychiatry and Mental health (1.9k citations) and Neurology (725 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 Scientific Reports, International Journal of Molecular Sciences, Astronomy and Astrophysics, Heliyon and Biomedicines. Some of MTA-SZTE Research Group on Artificial Intelligence's most productive authors include László Vécsei, József Dombi, László Tóth, Masaru Tanaka, Richárd Farkas, Gábor Gosztolya, György Szarvas, Veronika Vincze, Lajos Kemény and Csaba Janáky.

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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