Dominique Fohr

58 papers and 318 indexed citations i.

About

Dominique Fohr is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dominique Fohr has authored 58 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 38 papers in Signal Processing and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dominique Fohr’s work include Speech Recognition and Synthesis (50 papers), Speech and Audio Processing (31 papers) and Natural Language Processing Techniques (19 papers). Dominique Fohr is often cited by papers focused on Speech Recognition and Synthesis (50 papers), Speech and Audio Processing (31 papers) and Natural Language Processing Techniques (19 papers). Dominique Fohr collaborates with scholars based in France, United States and China. Dominique Fohr's co-authors include Irina Illina, Christophe Cerisara, Khalid Daoudi, Jean-Paul Haton, Jean‐Paul Haton, Denis Jouvet, J.-C. Junqua, Emmanuel Vincent, João Fernando Mari and Georges Linarès and has published in prestigious journals such as Speech Communication, IEEE/ACM Transactions on Audio Speech and Language Processing and Journal of Intelligent & Fuzzy Systems.

In The Last Decade

Co-authorship network of co-authors of Dominique Fohr i

Fields of papers citing papers by Dominique Fohr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dominique Fohr

Since Specialization
Citations

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