Daniel Tihelka

33 papers and 157 indexed citations i.

About

Daniel Tihelka is a scholar working on Artificial Intelligence, Signal Processing and Physiology. According to data from OpenAlex, Daniel Tihelka has authored 33 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 12 papers in Signal Processing and 5 papers in Physiology. Recurrent topics in Daniel Tihelka’s work include Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (11 papers) and Natural Language Processing Techniques (10 papers). Daniel Tihelka is often cited by papers focused on Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (11 papers) and Natural Language Processing Techniques (10 papers). Daniel Tihelka collaborates with scholars based in Czechia. Daniel Tihelka's co-authors include Jindřich Matoušek, Jan Romportl, Josef Psutka, Jiří Kala, Ján Švec, Pavel Ircing and Martin Grůber and has published in prestigious journals such as Speech Communication, IEEE/ACM Transactions on Audio Speech and Language Processing and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Daniel Tihelka i

Fields of papers citing papers by Daniel Tihelka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Tihelka

Since Specialization
Citations

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