András Kocsor

34 papers and 355 indexed citations i.

About

András Kocsor is a scholar working on Artificial Intelligence, Signal Processing and Molecular Biology. According to data from OpenAlex, András Kocsor has authored 34 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 11 papers in Signal Processing and 9 papers in Molecular Biology. Recurrent topics in András Kocsor’s work include Speech Recognition and Synthesis (12 papers), Natural Language Processing Techniques (8 papers) and Speech and Audio Processing (7 papers). András Kocsor is often cited by papers focused on Speech Recognition and Synthesis (12 papers), Natural Language Processing Techniques (8 papers) and Speech and Audio Processing (7 papers). András Kocsor collaborates with scholars based in Hungary, Italy and Thailand. András Kocsor's co-authors include Sándor Pongor, Paolo Sonego, László Tóth, Attila Kertész‐Farkas, Laszló Kaján, James T. Kwok, Ivor W. Tsang, János Csirik, Richàrd Farkas and S. Pongor and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of András Kocsor i

Fields of papers citing papers by András Kocsor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by András Kocsor

Since Specialization
Citations

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