François-Michel Lang

7 papers and 1.0k indexed citations i.

About

François-Michel Lang is a scholar working on Artificial Intelligence, Molecular Biology and Genetics. According to data from OpenAlex, François-Michel Lang has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Molecular Biology and 1 paper in Genetics. Recurrent topics in François-Michel Lang’s work include Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (3 papers). François-Michel Lang is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (3 papers). François-Michel Lang collaborates with scholars based in United States and France. François-Michel Lang's co-authors include Alan R. Aronson, Dina Demner‐Fushman, Thomas C. Rindflesch, Marcelo Fiszman, Lynette Hirschman, James G. Mork, Swapna Abhyankar, Aurélie Névéol, Zhiyong Lu and Sonya E. Shooshan and has published in prestigious journals such as Journal of the American Medical Informatics Association, CiteSeer X (The Pennsylvania State University) and Biocomputing.

In The Last Decade

Co-authorship network of co-authors of François-Michel Lang i

Fields of papers citing papers by François-Michel Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by François-Michel Lang

Since Specialization
Citations

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