René Thomsen

4.4k total citations · 2 hit papers
11 papers, 3.4k citations indexed

About

René Thomsen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, René Thomsen has authored 11 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 3 papers in Artificial Intelligence. Recurrent topics in René Thomsen's work include Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers) and Evolutionary Algorithms and Applications (3 papers). René Thomsen is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers) and Evolutionary Algorithms and Applications (3 papers). René Thomsen collaborates with scholars based in Denmark, Sweden and Spain. René Thomsen's 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 and has published in prestigious journals such as Journal of Medicinal Chemistry, Ecological Modelling and Journal of Chemical Information and Modeling.

In The Last Decade

René Thomsen

11 papers receiving 3.3k citations

Hit Papers

MolDock:  A New Technique for High-Accuracy Molecular Doc... 2005 2026 2012 2019 2006 2005 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MolDock:  A New Technique for High-Accuracy Molecular Docking
    2006 1.9k citations René Thomsen et al. Journal of Medicinal Chemistry profile →
  2. A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems
    2005 913 citations Jørgen Vesterstrøm, René Thomsen profile →

Peers

René Thomsen
Stefan Günther Germany
Chengkun Wu China
Davide Ballabio Italy
Chang‐Yu Hsieh China
Jure Zupan Slovenia
Chee Keong Kwoh Singapore
Wei Fang China
Jianjun Qi China
Kimito Funatsu Japan
Leslie A. Kuhn United States
Stefan Günther Germany
René Thomsen
Citations per year, relative to René Thomsen René Thomsen (= 1×) peers Stefan Günther

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
1.
Simonsen, Martin, et al.. (2011). GPU-accelerated high-accuracy molecular docking using guided differential evolution. 1803–1810. 10 indexed citations
2.
Li, Mengqiu, et al.. (2011). Molecular Docking with Ligand Attached Water Molecules. Journal of Chemical Information and Modeling. 51(4). 909–917. 65 indexed citations
3.
Thomsen, René, et al.. (2006). MolDock:  A New Technique for High-Accuracy Molecular Docking. Journal of Medicinal Chemistry. 49(11). 3315–3321. 1899 indexed citations breakdown →
4.
Vesterstrøm, Jørgen & René Thomsen. (2005). A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems. 1980–1987. 913 indexed citations breakdown →
5.
Bach, Lars A., René Thomsen, Cino Pertoldi, & Volker Loeschcke. (2005). Kin competition and the evolution of dispersal in an individual-based model. Ecological Modelling. 192(3-4). 658–666. 36 indexed citations
6.
Thomsen, René. (2005). Multimodal optimization using crowding-based differential evolution. 1382–1389. 324 indexed citations
7.
Thomsen, René. (2004). Flexible ligand docking using differential evolution. 4. 2354–2361. 34 indexed citations
8.
Thomsen, René, Gary B. Fogel, & Thiemo Krink. (2003). Improvement of clustal-derived sequence alignments with evolutionary algorithms. 312–319 Vol.1. 10 indexed citations
9.
10.
Thomsen, René, Gary B. Fogel, & Thiemo Krink. (2003). A Clustal alignment improver using evolutionary algorithms. 1. 121–126. 29 indexed citations
11.
Krink, Thiemo & René Thomsen. (2002). Self-organized criticality and mass extinction in evolutionary algorithms. 2. 1155–1161. 28 indexed citations

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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