Sven Thiele
- Molecular Biology
- Artificial Intelligence top 10%
- Biomedical Engineering
- Computational Theory and Mathematics
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Martin GebserAnne SiegelTorsten SchaubSteffen KlamtAxel von KampPhilippe VeberOliver HädickeCarito Guziołowski
- Topics
- Logic, Reasoning, and Knowledge (9 papers)Gene Regulatory Network Analysis (6 papers)Microbial Metabolic Engineering and Bioproduction (5 papers)
- Partner nations
- GermanyFranceUnited Kingdom
In The Last Decade
Sven Thiele
21 papers receiving 343 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 235
- Artificial Intelligence 105
- Biomedical Engineering 78
- Computational Theory and Mathematics 31
- Renewable Energy, Sustainability and the Environment 24
Countries citing papers authored by Sven Thiele
This map shows the geographic impact of Sven Thiele'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 Sven Thiele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Thiele more than expected).
Fields of papers citing papers by Sven Thiele
This network shows the impact of papers produced by Sven Thiele. 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 Sven Thiele. The network helps show where Sven Thiele may publish in the future.
Co-authorship network of co-authors of Sven Thiele
This figure shows the co-authorship network connecting the top 25 collaborators of Sven Thiele. A scholar is included among the top collaborators of Sven Thiele 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 Sven Thiele. Sven Thiele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 50 | |
| 8 | 68 | |
| 9 | 6 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 28 | |
| 15 | 5 | |
| 16 | 35 | |
| 17 | Repair and prediction (Under Inconsistency) in large biological networks with answer set programming | 41 |
| 18 | A Versatile Intermediate Language for Answer Set Programming | 2 |
| 19 | COBA 2.0 A consistency-based belief change system | 1 |
| 20 | On Probing and Multi-Threading in PLATYPUS | 3 |
About Sven Thiele
Sven Thiele is a scholar working on Artificial Intelligence, Information Systems and Management and Molecular Biology, having authored 23 papers that have together received 352 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (9 papers), Gene Regulatory Network Analysis (6 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Molecular Biology (235 citations), Artificial Intelligence (105 citations) and Computational Theory and Mathematics (31 citations). Sven Thiele has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Martin Gebser, Anne Siegel, Torsten Schaub, Steffen Klamt, Axel von Kamp, Philippe Veber, Oliver Hädicke, Carito Guziołowski, Julio Sáez-Rodríguez and Damien Eveillard. Their work appears in journals such as Bioinformatics, The Plant Journal and BMC Bioinformatics.
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.