Ján Švec

50 papers and 888 indexed citations i.

About

Ján Švec is a scholar working on Artificial Intelligence, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Ján Švec has authored 50 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Materials Chemistry and 12 papers in Organic Chemistry. Recurrent topics in Ján Švec’s work include Speech Recognition and Synthesis (11 papers), Natural Language Processing Techniques (11 papers) and Molecular Sensors and Ion Detection (9 papers). Ján Švec is often cited by papers focused on Speech Recognition and Synthesis (11 papers), Natural Language Processing Techniques (11 papers) and Molecular Sensors and Ion Detection (9 papers). Ján Švec collaborates with scholars based in Czechia, United States and Canada. Ján Švec's co-authors include Vladimír Šindelář, Marek Nečas, Veronika Novakova, Michaela Wimmerová, Michal Dušek, Petr Zimčík, B. Buděšínský, Michaela Pojarová, Václav Havel and Miroslav Miletín and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Medicinal Chemistry.

In The Last Decade

Co-authorship network of co-authors of Ján Švec i

Fields of papers citing papers by Ján Švec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ján Švec

Since Specialization
Citations

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