Félix Musil

1.3k total citations
17 papers, 869 citations indexed

About

Félix Musil is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Félix Musil has authored 17 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 7 papers in Computational Theory and Mathematics and 3 papers in Molecular Biology. Recurrent topics in Félix Musil's work include Machine Learning in Materials Science (9 papers), Computational Drug Discovery Methods (7 papers) and X-ray Diffraction in Crystallography (6 papers). Félix Musil is often cited by papers focused on Machine Learning in Materials Science (9 papers), Computational Drug Discovery Methods (7 papers) and X-ray Diffraction in Crystallography (6 papers). Félix Musil collaborates with scholars based in Switzerland, Germany and United Kingdom. Félix Musil's co-authors include Michele Ceriotti, Michael J. Willatt, Sandip De, Lyndon Emsley, Federico M. Paruzzo, Albert Hofstetter, Jack Yang, Graeme M. Day, Cecilia Clementi and Frank Noé and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Chemistry of Materials.

In The Last Decade

Félix Musil

17 papers receiving 855 citations

Peers

Félix Musil
Comparison fields: 5 of 82
  • Materials Chemistry 637
  • Computational Theory and Mathematics 254
  • Molecular Biology 154
  • Spectroscopy 146
  • Electrical and Electronic Engineering 103
Replace J. Bauer with:
J. Bauer Germany
Donald W. Noid United States
A. Curioni Switzerland
Richard A. Messerly United States
Edgar A. Engel United Kingdom
Rebecca Lindsey United States
Janus J. Eriksen Denmark
Yi-Xin Chen China
Andreas Singraber Austria
Károly Németh United States
J. Bauer Germany View profile →
Citations per field, relative to Félix Musil
Félix Musil · 1×
Citations per year, relative to Félix Musil
Félix Musil · 1×

Countries citing papers authored by Félix Musil

Since Specialization
Citations

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

Fields of papers citing papers by Félix Musil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Félix Musil

This figure shows the co-authorship network connecting the top 25 collaborators of Félix Musil. A scholar is included among the top collaborators of Félix Musil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Félix Musil. Félix Musil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 2
2 2
3 47
4 33
5 18
6 31
7 122
8 6
9 105
10 38
11
Theory and Practice of Atom-Density Representations for Machine Learning
1
12 198
13 153
14 24
15 14
16
The impact of the Boussinesq approximation on plasma turbulence in the scrape-off layer
1
17 74

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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2026