Thomas Schank
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
-
- Network Traffic and Congestion Control
- Caching and Content Delivery
Papers in
-
- Data Visualization and Analytics 3
-
- Complex Network Analysis Techniques 4
- Co-authors
- Dorothea Wagner (1 shared paper)Loet Leydesdorff (3 shared papers)Thomas Erlebach (2 shared papers)Alexander Hall (2 shared papers)Maurizio Patrignani (1 shared paper)Giuseppe Di Battista (1 shared paper)Maurizio Pizzonia (1 shared paper)Andrea Scharnhorst (1 shared paper)
- Journals
- Journal of Graph Algorithms and Applications (2 papers)El Profesional de la Informacion (1 paper)Cognitive Science (1 paper)IEEE/ACM Transactions on Networking (1 paper)Repository KITopen (Karlsruhe Institute of Technology) (2 papers)
- Partner nations
- SwitzerlandItalyNetherlands
In The Last Decade
Thomas Schank
9 papers receiving 442 citations
Peers
Comparison fields: 5 of 92
- Statistical and Nonlinear Physics 203
- Computer Networks and Communications 138
- Statistics, Probability and Uncertainty 39
- Computer Vision and Pattern Recognition 99
- Artificial Intelligence 142
Countries citing papers authored by Thomas Schank
This map shows the geographic impact of Thomas Schank'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 Thomas Schank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Schank more than expected).
Fields of papers citing papers by Thomas Schank
This network shows the impact of papers produced by Thomas Schank. 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 Thomas Schank. The network helps show where Thomas Schank may publish in the future.
Co-authors
The 12 scholars most cited alongside Thomas Schank, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 183 | |
| 2 | 2008 | 89 | |
| 3 | 2007 | 76 | |
| 4 | 2007 | 64 | |
| 5 | 2008 | 27 | |
| 6 | 2002 | 27 | |
| 7 | 2008 | 13 | |
| 8 | Betweenness centrality and the interdisciplinarity of cognitive science | 2008 | 4 |
| 9 | 2004 | 4 |
About Thomas Schank
Thomas Schank is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 9 papers that have together received 487 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Topological and Geometric Data Analysis (3 papers), Data Visualization and Analytics (3 papers), Spam and Phishing Detection (1 paper), Mental Health Research Topics (1 paper), Optimization and Search Problems (1 paper), Peer-to-Peer Network Technologies (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (203 citations), Computer Networks and Communications (138 citations), Statistics, Probability and Uncertainty (39 citations), Computer Vision and Pattern Recognition (99 citations) and Artificial Intelligence (142 citations). Thomas Schank has collaborated with scholars based in Switzerland, Italy and Netherlands. Frequent co-authors include Dorothea Wagner, Loet Leydesdorff, Thomas Erlebach, Alexander Hall, Maurizio Patrignani, Giuseppe Di Battista, Maurizio Pizzonia, Andrea Scharnhorst, Wouter de Nooy and Michael Baur. Their work appears in journals such as Journal of Graph Algorithms and Applications, El Profesional de la Informacion, Cognitive Science, IEEE/ACM Transactions on Networking and Repository KITopen (Karlsruhe Institute of Technology).
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.