Thomas Schank
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Graph Theory and Algorithms
Papers in
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- Complex Network Analysis Techniques 6
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- Topological and Geometric Data Analysis 3
- Advanced Graph Theory Research 2
- Co-authors
- Dorothea Wagner (3 shared papers)Loet Leydesdorff (3 shared papers)Alexander Hall (2 shared papers)Thomas Erlebach (2 shared papers)Giuseppe Di Battista (1 shared paper)Maurizio Patrignani (1 shared paper)Maurizio Pizzonia (1 shared paper)Sabine Cornelsen (2 shared papers)
- Journals
- Journal of Graph Algorithms and Applications (2 papers)El Profesional de la Informacion (1 paper)IEEE/ACM Transactions on Networking (1 paper)Cognitive Science (1 paper)Lecture notes in computer science (3 papers)
- Partner nations
- GermanyNetherlandsItaly
In The Last Decade
Thomas Schank
12 papers receiving 726 citations
Peers
Comparison fields: 5 of 95
- Statistical and Nonlinear Physics 337
- Computer Vision and Pattern Recognition 219
- Computer Graphics and Computer-Aided Design 35
- Computer Networks and Communications 220
- Computational Theory and Mathematics 152
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 | 204 | |
| 2 | 2005 | 203 | |
| 3 | 2008 | 100 | |
| 4 | 2007 | 85 | |
| 5 | 2007 | 74 | |
| 6 | 2002 | 33 | |
| 7 | 2008 | 31 | |
| 8 | 2002 | 17 | |
| 9 | 2008 | 15 | |
| 10 | 2005 | 12 | |
| 11 | 2004 | 11 | |
| 12 | Betweenness centrality and the interdisciplinarity of cognitive science | 2008 | 4 |
About Thomas Schank
Thomas Schank is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 12 papers that have together received 789 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Data Visualization and Analytics (3 papers), Topological and Geometric Data Analysis (3 papers), Advanced Graph Theory Research (2 papers), Computational Geometry and Mesh Generation (2 papers), Spam and Phishing Detection (1 paper), Advanced Clustering Algorithms Research (1 paper) and Graph theory and applications (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (337 citations), Computer Vision and Pattern Recognition (219 citations), Computer Graphics and Computer-Aided Design (35 citations), Computer Networks and Communications (220 citations) and Computational Theory and Mathematics (152 citations). Thomas Schank has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Dorothea Wagner, Loet Leydesdorff, Alexander Hall, Thomas Erlebach, Giuseppe Di Battista, Maurizio Patrignani, Maurizio Pizzonia, Sabine Cornelsen, Andrea Scharnhorst and Wouter de Nooy. Their work appears in journals such as Journal of Graph Algorithms and Applications, El Profesional de la Informacion, IEEE/ACM Transactions on Networking, Cognitive Science and Lecture notes in computer science.
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.