Thorsten Meinl

3.3k total citations · 1 hit paper
29 papers, 1.2k citations indexed

About

Thorsten Meinl is a scholar working on Computational Theory and Mathematics, Information Systems and Molecular Biology. According to data from OpenAlex, Thorsten Meinl has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 11 papers in Information Systems and 9 papers in Molecular Biology. Recurrent topics in Thorsten Meinl's work include Computational Drug Discovery Methods (11 papers), Data Mining Algorithms and Applications (10 papers) and Advanced Database Systems and Queries (8 papers). Thorsten Meinl is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Data Mining Algorithms and Applications (10 papers) and Advanced Database Systems and Queries (8 papers). Thorsten Meinl collaborates with scholars based in Germany, United Kingdom and Italy. Thorsten Meinl's co-authors include Michael R. Berthold, Bernd Wiswedel, Fabian Dill, Thomas R. Gabriel, Tobias Kötter, Nicolas Cebron, Kilian Thiel, Christian Borgelt, Christoph Steinbeck and Stephan Beisken and has published in prestigious journals such as BMC Bioinformatics, Toxicology Letters and Journal of Chemical Information and Modeling.

In The Last Decade

Thorsten Meinl

29 papers receiving 1.2k citations

Hit Papers

KNIME - the Konstanz info... 2009 2026 2014 2020 2009 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thorsten Meinl Germany 11 487 396 190 183 119 29 1.2k
Bernd Wiswedel Germany 10 441 0.9× 299 0.8× 203 1.1× 139 0.8× 131 1.1× 17 1.1k
Tobias Kötter Germany 8 346 0.7× 231 0.6× 173 0.9× 134 0.7× 108 0.9× 15 1.1k
Kilian Thiel Germany 7 338 0.7× 229 0.6× 182 1.0× 124 0.7× 102 0.9× 10 942
Thomas R. Gabriel Germany 6 337 0.7× 235 0.6× 180 0.9× 124 0.7× 99 0.8× 9 932
Nicolas Cebron Germany 6 337 0.7× 224 0.6× 196 1.0× 114 0.6× 99 0.8× 14 979
Fabian Dill Germany 3 337 0.7× 224 0.6× 148 0.8× 111 0.6× 99 0.8× 4 895
David Wild United States 26 1.2k 2.4× 896 2.3× 358 1.9× 131 0.7× 110 0.9× 93 2.1k
Siegfried Reich United States 22 608 1.2× 130 0.3× 127 0.7× 163 0.9× 30 0.3× 75 1.9k
Sushil Kumar Shakyawar United States 8 772 1.6× 719 1.8× 262 1.4× 110 0.6× 48 0.4× 16 1.7k
David Gilbert United Kingdom 27 2.0k 4.2× 369 0.9× 445 2.3× 113 0.6× 26 0.2× 98 2.9k

Countries citing papers authored by Thorsten Meinl

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Meinl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten Meinl

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

All Works

20 of 20 papers shown
1.
Paini, Alicia, Andrea-Nicole Richarz, Thorsten Meinl, et al.. (2017). Automated workflows for modelling chemical fate, kinetics and toxicity. Toxicology in Vitro. 45(Pt 2). 249–257. 8 indexed citations
2.
Copmans, Daniëlle, Thorsten Meinl, Christian Dietz, et al.. (2015). A KNIME-Based Analysis of the Zebrafish Photomotor Response Clusters the Phenotypes of 14 Classes of Neuroactive Molecules. SLAS DISCOVERY. 21(5). 427–436. 20 indexed citations
3.
4.
Richarz, Andrea-Nicole, Petko Alov, Steven J. Enoch, et al.. (2015). In silico chemistry-based workflows to facilitate ADMET prediction for cosmetics-related substances. Toxicology Letters. 238(2). S170–S170. 2 indexed citations
5.
Meinl, Thorsten, Bernd Wiswedel, & Michael R. Berthold. (2014). Looking over the rim: algorithms for cheminformatics from computer scientists. Journal of Cheminformatics. 6(S1). O13–O13. 1 indexed citations
6.
Beisken, Stephan, Thorsten Meinl, Bernd Wiswedel, et al.. (2013). KNIME-CDK: Workflow-driven cheminformatics. BMC Bioinformatics. 14(1). 257–257. 103 indexed citations
7.
Meinl, Thorsten & Gregory A. Landrum. (2013). Get your chemistry right with KNIME. Journal of Cheminformatics. 5(S1). 8 indexed citations
8.
Meinl, Thorsten. (2012). What's new in KNIME?. Journal of Cheminformatics. 4(S1). 11 indexed citations
9.
Meinl, Thorsten, Claude Ostermann, & Michael R. Berthold. (2011). Maximum-Score Diversity Selection for Early Drug Discovery. Journal of Chemical Information and Modeling. 51(2). 237–247. 23 indexed citations
10.
Berthold, Michael R., Nicolas Cebron, Fabian Dill, et al.. (2009). KNIME - the Konstanz information miner. ACM SIGKDD Explorations Newsletter. 11(1). 26–31. 775 indexed citations breakdown →
11.
Meinl, Thorsten, Nicolas Cebron, Thomas R. Gabriel, et al.. (2009). The Konstanz Information Miner 2.0. KOPS (University of Konstanz). 2 indexed citations
12.
Meinl, Thorsten, et al.. (2007). Parallel and Distributed Data Pipelining with KNIME. KOPS (University of Konstanz). 3(2). 43–51. 10 indexed citations
13.
Dreweke, Alexander, et al.. (2006). Edgar: the Embedding-baseD GrAph MineR. KOPS (University of Konstanz). 5 indexed citations
14.
Berthold, Michael R., Nicolas Cebron, Fabian Dill, et al.. (2006). KNIME: The Konstanz Information Miner. CentAUR (University of Reading). 112 indexed citations
15.
Saigo, Hiroto, et al.. (2006). A Linear Programming Approach for Molecular QSAR analysis. Max Planck Institute for Plasma Physics. 85–96. 11 indexed citations
16.
Borgelt, Christian & Thorsten Meinl. (2006). Full Perfect Extension Pruning for Frequent Graph Mining. KOPS (University of Konstanz). 263–268. 5 indexed citations
17.
Meinl, Thorsten, Ingrid Fischer, & Michæl Philippsen. (2005). Parallel Mining for Frequent Fragments on a Shared-Memory Multiprocessor - Results and Java-Obstacles.. LWA. 196–201. 5 indexed citations
18.
Borgelt, Christian, Thorsten Meinl, & Michael R. Berthold. (2005). Advanced pruning strategies to speed up mining closed molecular fragments. 5. 4565–4570. 10 indexed citations
19.
Meinl, Thorsten, Siegfried Nijssen, & George Karypis. (2005). MGTS 2005: Proceedings of the 3rd International Workshop on Mining Graphs, Trees and Sequences. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
20.
Meinl, Thorsten & Michael R. Berthold. (2005). Hybrid fragment mining with MoFa and FSG. KOPS (University of Konstanz). 5. 4559–4564. 3 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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