René Thomsen

4.4k citations
11 papers · 3.4k indexed · 2 hit papers · h-index 11
Topics
Computational Drug Discovery Methods (4 papers)Protein Structure and Dynamics (3 papers)Evolutionary Algorithms and Applications (3 papers)
Partner nations
DenmarkSwedenSpain

In The Last Decade

René Thomsen

11 papers receiving 3.3k citations

Hit Papers

MolDock: A New Technique for High-Accuracy Molecular Docking20052026201220192006200550010001.5k

Peers

René Thomsen
Comparison fields: 5 of 168
  • Computational Theory and Mathematics 1.1k
  • Molecular Biology 1.1k
  • Artificial Intelligence 873
  • Organic Chemistry 565
  • Pharmacology 284
Replace Stefan Günther with:
Stefan Günther Germany
Chengkun Wu China
Jianjun Qi China
Chang‐Yu Hsieh China
Wei Fang China
Jinn‐Moon Yang Taiwan
Dimitris K. Agrafiotis United Kingdom
Davide Ballabio Italy
Hongming Chen Sweden
Igor I. Baskin Russia
René Thomsen relative to Stefan Günther Germany Stefan Günther's profile →
Citations per field
00.5×1.5×1.8×
Stefan Günther · 1×
Citations per year

Countries citing papers authored by René Thomsen

Since Specialization
Citations

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

Fields of papers citing papers by René Thomsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of René Thomsen

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 10
2 65
3
MolDock:  A New Technique for High-Accuracy Molecular Dockingbreakdown →
1899
4
A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problemsbreakdown →
913
5 36
6 324
7 34
8 10
9 37
10 29
11 28

About René Thomsen

René Thomsen is a scholar working on Computational Theory and Mathematics, Biophysics and Paleontology, having authored 11 papers that have together received 3.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Artificial Intelligence (873 citations) and Organic Chemistry (565 citations). René Thomsen has collaborated with scholars based in Denmark, Sweden and Spain. Frequent co-authors include Jørgen Vesterstrøm, Thiemo Krink, Christian N. S. Pedersen, Gary B. Fogel, Birgit Schiøtt, Mengqiu Li, Volker Loeschcke, Lars A. Bach, Cino Pertoldi and Martin Simonsen. Their work appears in journals such as Journal of Medicinal Chemistry, Ecological Modelling and Journal of Chemical Information and Modeling.

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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