Jahn Heymann

About

Jahn Heymann is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Jahn Heymann has authored 14 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 11 papers in Artificial Intelligence and 3 papers in Computational Mechanics. Recurrent topics in Jahn Heymann’s work include Speech and Audio Processing (10 papers), Speech Recognition and Synthesis (10 papers) and Music and Audio Processing (8 papers). Jahn Heymann is often cited by papers focused on Speech and Audio Processing (10 papers), Speech Recognition and Synthesis (10 papers) and Music and Audio Processing (8 papers). Jahn Heymann collaborates with scholars based in Germany, United States and Japan. Jahn Heymann's co-authors include Shinji Watanabe, Adithya Renduchintala, Shigeki Karita, Yuya Unno, Takaaki Hori, Tomoki Hayashi, Matthew Wiesner, Nanxin Chen, Tsubasa Ochiai and Lukas Drude and has published in prestigious journals such as Proceedings of the IEEE, Computer Speech & Language and Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of Jahn Heymann i

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Fields of papers citing papers by Jahn Heymann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jahn Heymann

Since Specialization

Citations

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