Hynek Heřmanský

167 papers and 4.8k indexed citations i.

About

Hynek Heřmanský is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hynek Heřmanský has authored 167 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Signal Processing, 133 papers in Artificial Intelligence and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hynek Heřmanský’s work include Speech and Audio Processing (142 papers), Speech Recognition and Synthesis (121 papers) and Music and Audio Processing (80 papers). Hynek Heřmanský is often cited by papers focused on Speech and Audio Processing (142 papers), Speech Recognition and Synthesis (121 papers) and Music and Audio Processing (80 papers). Hynek Heřmanský collaborates with scholars based in United States, Switzerland and Germany. Hynek Heřmanský's co-authors include N. Morgan, Samuel Thomas, Aren Jansen, Sriram Ganapathy, Misha Pavel, Sarel van Vuuren, Petr Fousek, Kenneth Church, Takayuki Arai and Fabio Valente and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Proceedings of the IEEE.

In The Last Decade

Co-authorship network of co-authors of Hynek Heřmanský i

Fields of papers citing papers by Hynek Heřmanský

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hynek Heřmanský

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025