Jan G. Švec

90 papers and 3.6k indexed citations i.

About

Jan G. Švec is a scholar working on Physiology, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Jan G. Švec has authored 90 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Physiology, 51 papers in Artificial Intelligence and 49 papers in Experimental and Cognitive Psychology. Recurrent topics in Jan G. Švec’s work include Voice and Speech Disorders (78 papers), Speech Recognition and Synthesis (51 papers) and Phonetics and Phonology Research (49 papers). Jan G. Švec is often cited by papers focused on Voice and Speech Disorders (78 papers), Speech Recognition and Synthesis (51 papers) and Phonetics and Phonology Research (49 papers). Jan G. Švec collaborates with scholars based in Czechia, United States and The Netherlands. Jan G. Švec's co-authors include Harm K. Schutte, Ingo R. Titze, Peter S. Popolo, Jaromı́r Horáček, Svante Granqvist, Christian T. Herbst, F. Šram, Anne-Maria Laukkanen, Donald G. Miller and Julie Barkmeier‐Kraemer and has published in prestigious journals such as Nature Communications, Current Biology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Jan G. Švec i

Fields of papers citing papers by Jan G. Švec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan G. Švec. 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 Jan G. Švec. The network helps show where Jan G. Švec may publish in the future.

Countries citing papers authored by Jan G. Švec

Since Specialization
Citations

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