Alain Schenkel

1.4k citations
7 papers · 1.2k indexed · 1 hit paper · h-index 6
Topics
Thermal properties of materials (1 paper)Advanced Thermodynamics and Statistical Mechanics (1 paper)Machine Learning in Bioinformatics (1 paper)

In The Last Decade

Alain Schenkel

7 papers receiving 1.1k citations

Hit Papers

Searching protein structure databases with DaliLite v.320082026201420202008250500750

Peers

Alain Schenkel
Comparison fields: 5 of 109
  • Molecular Biology 778
  • Materials Chemistry 206
  • Genetics 157
  • Ecology 90
  • Cell Biology 86
Replace F. Bardou with:
F. Bardou France
Bartłomiej Waclaw United Kingdom
Miklós Cserző Hungary
Elijah Roberts United States
Guo‐Wei Wei United States
Yiannis N. Kaznessis United States
Ville Mustonen United Kingdom
S. Bose United States
Fukun Zhao China
Hao Ge China
Alain Schenkel relative to F. Bardou France F. Bardou's profile →
Citations per field
00.5×1.5×2.3×
F. Bardou · 1×
Citations per year

Countries citing papers authored by Alain Schenkel

Since Specialization
Citations

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

Fields of papers citing papers by Alain Schenkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alain Schenkel

This figure shows the co-authorship network connecting the top 25 collaborators of Alain Schenkel. A scholar is included among the top collaborators of Alain Schenkel 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 Alain Schenkel. Alain Schenkel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1
Searching protein structure databases with DaliLite v.3breakdown →
873
2 22
3
Perturbative analysis of anharmonic chains of out of equilibrium
2
4 107
5 57
6 16
7 87

About Alain Schenkel

Alain Schenkel is a scholar working on Modeling and Simulation, Computational Theory and Mathematics and Mathematical Physics, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thermal properties of materials (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Modeling and Simulation (76 citations), Molecular Biology (778 citations) and Endocrinology (37 citations). Alain Schenkel has collaborated with scholars based in Switzerland, Finland and Denmark. Frequent co-authors include Liisa Holm, Yicheng Zhang, Jun Zhang, Peter Wittwer, Shankar C. Venkataramani, Peter Constantin, Leo P. Kadanoff, Michael P. Brenner, Hans Koch and R. Lefevere. Their work appears in journals such as Bioinformatics, Physica D Nonlinear Phenomena and SIAM Review.

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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