Michel Lang

31 papers and 1.3k indexed citations i.

About

Michel Lang is a scholar working on Artificial Intelligence, Molecular Biology and Plant Science. According to data from OpenAlex, Michel Lang has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 8 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in Michel Lang’s work include Machine Learning and Data Classification (14 papers), Gene expression and cancer classification (7 papers) and Data Analysis with R (6 papers). Michel Lang is often cited by papers focused on Machine Learning and Data Classification (14 papers), Gene expression and cancer classification (7 papers) and Data Analysis with R (6 papers). Michel Lang collaborates with scholars based in Germany, United States and United Kingdom. Michel Lang's co-authors include Bernd Bischl, Jörg Rahnenführer, Andrea Bommert, Xudong Sun, Jakob Richter, Lars Kotthoff, Giuseppe Casalicchio, Martin Binder, Stefan Coors and Zachary Jones and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Michel Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michel Lang

Since Specialization
Citations

This map shows the geographic impact of 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 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 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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