Ata Kabán

72 papers and 1.3k indexed citations i.

About

Ata Kabán is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Ata Kabán has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 18 papers in Statistics and Probability. Recurrent topics in Ata Kabán’s work include Sparse and Compressive Sensing Techniques (17 papers), Face and Expression Recognition (15 papers) and Bayesian Methods and Mixture Models (13 papers). Ata Kabán is often cited by papers focused on Sparse and Compressive Sensing Techniques (17 papers), Face and Expression Recognition (15 papers) and Bayesian Methods and Mixture Models (13 papers). Ata Kabán collaborates with scholars based in United Kingdom, New Zealand and Finland. Ata Kabán's co-authors include Robert J. Durrant, Jakramate Bootkrajang, Peter Tiño, José A. Lozano, Edmund Burke, Hans–Paul Schwefel, J. J. Merelo, John A. Bullinaria, James E. Smith and Jonathan E. Rowe and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Co-authorship network of co-authors of Ata Kabán i

Fields of papers citing papers by Ata Kabán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ata Kabán

Since Specialization
Citations

This map shows the geographic impact of Ata Kabán'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 Ata Kabán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ata Kabán 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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2025