Philippe Schwaller

45 papers and 3.8k indexed citations i.

About

Philippe Schwaller is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Philippe Schwaller has authored 45 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Materials Chemistry, 27 papers in Computational Theory and Mathematics and 14 papers in Artificial Intelligence. Recurrent topics in Philippe Schwaller’s work include Machine Learning in Materials Science (35 papers), Computational Drug Discovery Methods (27 papers) and Topic Modeling (7 papers). Philippe Schwaller is often cited by papers focused on Machine Learning in Materials Science (35 papers), Computational Drug Discovery Methods (27 papers) and Topic Modeling (7 papers). Philippe Schwaller collaborates with scholars based in Switzerland, United Kingdom and United States. Philippe Schwaller's co-authors include Teodoro Laino, Jean‐Louis Reymond, Costas Bekas, Théophile Gaudin, Andrius Merkys, Thibault Sohier, Ivano E. Castelli, Giovanni Pizzi, Marco Gibertini and Davide Campi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Co-authorship network of co-authors of Philippe Schwaller i

Fields of papers citing papers by Philippe Schwaller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philippe Schwaller

Since Specialization
Citations

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