Pázmány Péter Catholic University

2.6k papers and 40.2k indexed citations

About

In recent decades, authors affiliated with Pázmány Péter Catholic University have published 2.6k papers, which have received a total of 40.2k indexed citations. Scholars at this organization have produced 378 papers in Cognitive Neuroscience, 308 papers in Electrical and Electronic Engineering and 305 papers in Molecular Biology on the topics of Neural dynamics and brain function (201 papers), Advanced Memory and Neural Computing (147 papers) and Neuroscience and Neural Engineering (127 papers). Their work is cited by papers focused on Cognitive Neuroscience (9.1k citations), Molecular Biology (8.0k citations) and Cellular and Molecular Neuroscience (6.5k citations). Authors at Pázmány Péter Catholic University collaborate with scholars in Hungary, United States and United Kingdom and have published in prestigious journals including Nature, Science and Proceedings of the National Academy of Sciences. Some of Pázmány Péter Catholic University's most productive authors include István Ulbert, Zoltán Gáspári, Zsolt Liposits, Franciska Erdő, Jerzy Jurka, Gábor Tóth, Balázs Győrffy, Jiří Jaromír Klemeš, András Lánczky and Zoltán Szállási.

In The Last Decade

Pázmány Péter Catholic University

2.2k papers receiving 39.2k citations

Countries citing scholars working at Pázmány Péter Catholic University

Since Specialization
Citations

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

Fields of papers published by authors at Pázmány Péter Catholic University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Pázmány Péter Catholic University 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 Pázmány Péter Catholic University at the time of their publication.

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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2026