György Kovács

46 papers and 951 indexed citations i.

About

György Kovács is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, György Kovács has authored 46 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in György Kovács’s work include Visual perception and processing mechanisms (8 papers), Neural dynamics and brain function (6 papers) and Graphene research and applications (3 papers). György Kovács is often cited by papers focused on Visual perception and processing mechanisms (8 papers), Neural dynamics and brain function (6 papers) and Graphene research and applications (3 papers). György Kovács collaborates with scholars based in Hungary, Belgium and Germany. György Kovács's co-authors include Guy A. Orban, Rufin Vogels, R. Vogels, András Hajdú, Gyula Sáry, István Mezgár, Zoltán Vidnyánszky, Daniel Kaiser, Dzmitry A. Kaliukhovich and Tamás Tompa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

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

Fields of papers citing papers by György Kovács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by György Kovács

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025