Ákos Kádár

12 papers and 199 indexed citations i.

About

Ákos Kádár is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ákos Kádár has authored 12 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Ákos Kádár’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (6 papers). Ákos Kádár is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (6 papers). Ákos Kádár collaborates with scholars based in The Netherlands, Canada and United States. Ákos Kádár's co-authors include Grzegorz Chrupała, Afra Alishahi, Desmond Elliott, Mike Kestemont, Diego Moussallem, Marc-Alexandre Côté, Enrique Manjavacas, Emiel Krahmer, Thiago Castro Ferreira and András Kornai and has published in prestigious journals such as Computational Linguistics, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Data Archiving and Networked Services (DANS).

In The Last Decade

Co-authorship network of co-authors of Ákos Kádár i

Fields of papers citing papers by Ákos Kádár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ákos Kádár

Since Specialization
Citations

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