Michel Simard

105 papers and 3.7k indexed citations i.

About

Michel Simard is a scholar working on Organic Chemistry, Inorganic Chemistry and Artificial Intelligence. According to data from OpenAlex, Michel Simard has authored 105 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Organic Chemistry, 38 papers in Inorganic Chemistry and 24 papers in Artificial Intelligence. Recurrent topics in Michel Simard’s work include Natural Language Processing Techniques (24 papers), Crystal structures of chemical compounds (23 papers) and Topic Modeling (19 papers). Michel Simard is often cited by papers focused on Natural Language Processing Techniques (24 papers), Crystal structures of chemical compounds (23 papers) and Topic Modeling (19 papers). Michel Simard collaborates with scholars based in Canada, France and United States. Michel Simard's co-authors include James D. Wuest, Dan Su, Philippe Brunet, Stephen Hanessian, Xin Wang, Stefano Roelens, Ye Tao, Mario Leclerc, Salem Wakim and Thierry Maris and has published in prestigious journals such as Journal of the American Chemical Society, Chemistry of Materials and Coordination Chemistry Reviews.

In The Last Decade

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

Fields of papers citing papers by Michel Simard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michel Simard

Since Specialization
Citations

This map shows the geographic impact of Michel Simard'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 Michel Simard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Simard 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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2025