Kilian Thiel
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Information Systems and Management top 5%
- Co-authors
- Michael R. BertholdTobias KötterThomas R. GabrielFabian DillNicolas CebronThorsten MeinlBernd WiswedelUlrik Brandes
- Topics
- Data Mining Algorithms and Applications (4 papers)Complex Network Analysis Techniques (3 papers)Data Management and Algorithms (3 papers)
- Journals
- Lecture notes in computer scienceKOPS (University of Konstanz)CentAUR (University of Reading)
- Partner nations
- Germany
In The Last Decade
Kilian Thiel
10 papers receiving 899 citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 338
- Computational Theory and Mathematics 229
- Artificial Intelligence 182
- Information Systems 124
- Information Systems and Management 102
Countries citing papers authored by Kilian Thiel
This map shows the geographic impact of Kilian Thiel'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 Kilian Thiel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kilian Thiel more than expected).
Fields of papers citing papers by Kilian Thiel
This network shows the impact of papers produced by Kilian Thiel. 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 Kilian Thiel. The network helps show where Kilian Thiel may publish in the future.
Co-authorship network of co-authors of Kilian Thiel
This figure shows the co-authorship network connecting the top 25 collaborators of Kilian Thiel. A scholar is included among the top collaborators of Kilian Thiel 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 Kilian Thiel. Kilian Thiel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Domain Bridging Associations Support Creativity | 8 |
| 3 | 8 | |
| 4 | 8 | |
| 5 | KNIME - the Konstanz information minerbreakdown → | 775 |
| 6 | 15 | |
| 7 | The Konstanz Information Miner 2.0 | 2 |
| 8 | 6 | |
| 9 | 6 | |
| 10 | KNIME: The Konstanz Information Miner | 112 |
About Kilian Thiel
Kilian Thiel is a scholar working on Signal Processing, Information Systems and Management and Statistical and Nonlinear Physics, having authored 10 papers that have together received 942 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (4 papers), Complex Network Analysis Techniques (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Information Systems and Management (102 citations), Computational Theory and Mathematics (229 citations) and Biophysics (51 citations). Kilian Thiel has collaborated with scholars based in Germany. Frequent co-authors include Michael R. Berthold, Tobias Kötter, Thomas R. Gabriel, Fabian Dill, Nicolas Cebron, Thorsten Meinl, Bernd Wiswedel, Ulrik Brandes and Uwe Nagel. Their work appears in journals such as Lecture notes in computer science, KOPS (University of Konstanz) and CentAUR (University of Reading).
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.