Hungarian Academy of Sciences

1.4M citations
50.8k papers ·

Impact in

Papers in

Hungarian Academy of Sciences

47.9k papers receiving 1.4M citations

Peers

Hungarian Academy of Sciences
Comparison fields: 5 of 250
  • Discrete Mathematics and Combinatorics 21.9k
  • Cellular and Molecular Neuroscience 110.9k
  • Molecular Biology 298.5k
  • Behavioral Neuroscience 13.1k
  • Cognitive Neuroscience 73.9k
Replace University of Vienna with:
University of Vienna Austria
Charles University Czechia
Polish Academy of Sciences Poland
Freie Universität Berlin Germany
Humboldt-Universität zu Berlin Germany
Eötvös Loránd University Hungary
Jagiellonian University Poland
University of Padua Italy
Sapienza University of Rome Italy
University of Szeged Hungary
Hungarian Academy of Sciences relative to University of Vienna Austria University of Vienna's profile →
Citations per field
00.5×2×4×5.7×
University of Vienna · 1×
Citations per year

Countries citing scholars working at Hungarian Academy of Sciences

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Hungarian Academy of Sciences. 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 Hungarian Academy of Sciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hungarian Academy of Sciences more than expected).

Fields of papers published by authors at Hungarian Academy of Sciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Hungarian Academy of Sciences 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 Hungarian Academy of Sciences at the time of their publication.

About Hungarian Academy of Sciences

In recent decades, authors affiliated with Hungarian Academy of Sciences have published 50.8k papers, which have received a total of 1.4M indexed citations . Scholars at this organization have produced 1.2k papers in Discrete Mathematics and Combinatorics, 1.7k papers in Radiation, 3.0k papers in Cellular and Molecular Neuroscience, 2.6k papers in Spectroscopy and 4.7k papers in Atomic and Molecular Physics, and Optics on the topics of Neuroscience and Neuropharmacology Research (1.3k papers), Advanced Chemical Physics Studies (1.2k papers), Nuclear Physics and Applications (1.1k papers), Limits and Structures in Graph Theory (988 papers), Analytical Chemistry and Chromatography (977 papers), Advanced Graph Theory Research (972 papers), Photosynthetic Processes and Mechanisms (770 papers) and Neuropeptides and Animal Physiology (760 papers). Their work is cited by papers focused on Discrete Mathematics and Combinatorics (21.9k citations), Cellular and Molecular Neuroscience (110.9k citations), Molecular Biology (298.5k citations), Behavioral Neuroscience (13.1k citations) and Cognitive Neuroscience (73.9k citations). Authors at Hungarian Academy of Sciences collaborate with scholars in Hungary, United States and Germany and have published in prestigious journals including Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Physical Review A, PLoS ONE, Discrete Mathematics and Tetrahedron. Some of Hungarian Academy of Sciences's most productive authors include Tamás F. Freund, Péter Tompa, I. Mayer, Imre Csiszár, E. Sylvester Vizi, Paul A. Srere, István Winkler, Béla Pukánszky, Attila Szolnoki and László Patthy.

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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