Thorsten Meinl
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Information Systems and Management top 5%
- Co-authors
- Michael R. BertholdBernd WiswedelNicolas CebronThomas R. GabrielKilian ThielFabian DillTobias KötterChristian Borgelt
- Topics
- Computational Drug Discovery Methods (11 papers)Data Mining Algorithms and Applications (10 papers)Advanced Database Systems and Queries (8 papers)
- Partner nations
- GermanyUnited KingdomItaly
In The Last Decade
Thorsten Meinl
29 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 487
- Computational Theory and Mathematics 396
- Artificial Intelligence 190
- Information Systems 183
- Information Systems and Management 119
Countries citing papers authored by Thorsten Meinl
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 20 | |
| 3 | 33 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 103 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 23 | |
| 10 | 1 | |
| 11 | KNIME - the Konstanz information minerbreakdown → | 775 |
| 12 | 6 | |
| 13 | Parallel and Distributed Data Pipelining with KNIME | 10 |
| 14 | Edgar: the Embedding-baseD GrAph MineR | 5 |
| 15 | KNIME: The Konstanz Information Miner | 112 |
| 16 | A Linear Programming Approach for Molecular QSAR analysis | 11 |
| 17 | Parallel Mining for Frequent Fragments on a Shared-Memory Multiprocessor - Results and Java-Obstacles. | 5 |
| 18 | 10 | |
| 19 | MGTS 2005: Proceedings of the 3rd International Workshop on Mining Graphs, Trees and Sequences | 1 |
| 20 | Mining Fragments with Fuzzy Chains in Molecular Databases | 8 |
About Thorsten Meinl
Thorsten Meinl is a scholar working on Computational Theory and Mathematics, Information Systems and Management and Software, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Data Mining Algorithms and Applications (10 papers) and Advanced Database Systems and Queries (8 papers). The work is most often cited by research in Computational Theory and Mathematics (396 citations), Information Systems and Management (119 citations) and Biophysics (63 citations). Thorsten Meinl has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Michael R. Berthold, Bernd Wiswedel, Nicolas Cebron, Thomas R. Gabriel, Kilian Thiel, Fabian Dill, Tobias Kötter, Christian Borgelt, Stephan Beisken and Luís F. de Figueiredo. Their work appears in journals such as BMC Bioinformatics, Toxicology Letters 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.