Paul Michel

22 papers and 339 indexed citations i.

About

Paul Michel is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Paul Michel has authored 22 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Paul Michel’s work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Biomedical Text Mining and Ontologies (3 papers). Paul Michel is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Biomedical Text Mining and Ontologies (3 papers). Paul Michel collaborates with scholars based in United States, Switzerland and Israel. Paul Michel's co-authors include Graham Neubig, Omer Levy, Juan Pino, Xian Li, Christian Lovis, Robert Baud, A M Rassinoux, Jean-Philippe Gauthier, Nadir Durrani and J R Scherrer and has published in prestigious journals such as Annals of Oncology, Journal of Applied Crystallography and Optometry and Vision Science.

In The Last Decade

Co-authorship network of co-authors of Paul Michel i

Fields of papers citing papers by Paul Michel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paul Michel

Since Specialization
Citations

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