Thomas Schank

1.1k total citations
9 papers, 487 citations indexed

About

Thomas Schank is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Thomas Schank has authored 9 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Statistical and Nonlinear Physics and 4 papers in Computational Theory and Mathematics. Recurrent topics in Thomas Schank's work include Complex Network Analysis Techniques (4 papers), Data Visualization and Analytics (3 papers) and Topological and Geometric Data Analysis (3 papers). Thomas Schank is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Data Visualization and Analytics (3 papers) and Topological and Geometric Data Analysis (3 papers). Thomas Schank collaborates with scholars based in Switzerland, Italy and Netherlands. Thomas Schank's co-authors include Dorothea Wagner, Loet Leydesdorff, Thomas Erlebach, Alexander Hall, Maurizio Pizzonia, Maurizio Patrignani, Giuseppe Di Battista, Andrea Scharnhorst, Wouter de Nooy and Michael Baur and has published in prestigious journals such as IEEE/ACM Transactions on Networking, Cognitive Science and El Profesional de la Informacion.

In The Last Decade

Thomas Schank

9 papers receiving 442 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Schank Switzerland 7 203 142 138 99 63 9 487
Pavel Berkhin United States 9 208 1.0× 215 1.5× 141 1.0× 127 1.3× 69 1.1× 15 629
Kousik Das India 9 161 0.8× 90 0.6× 46 0.3× 35 0.4× 51 0.8× 23 490
Robert Jäschke Germany 14 152 0.7× 374 2.6× 138 1.0× 122 1.2× 65 1.0× 47 750
Panayiotis Bozanis Greece 12 70 0.3× 156 1.1× 136 1.0× 67 0.7× 15 0.2× 55 454
Djamel A. Zighed France 10 461 2.3× 351 2.5× 120 0.9× 89 0.9× 61 1.0× 39 904
Eric J. Glover United States 9 225 1.1× 276 1.9× 138 1.0× 58 0.6× 15 0.2× 12 744
Daniel R. Figueiredo Brazil 15 131 0.6× 151 1.1× 549 4.0× 45 0.5× 24 0.4× 52 746
Amin Mantrach Spain 11 134 0.7× 285 2.0× 41 0.3× 98 1.0× 30 0.5× 19 545
Hung‐Hsuan Chen Taiwan 14 133 0.7× 237 1.7× 61 0.4× 46 0.5× 12 0.2× 40 496
Yintao Yu United States 8 450 2.2× 578 4.1× 141 1.0× 104 1.1× 23 0.4× 11 931

Countries citing papers authored by Thomas Schank

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Thomas Schank

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Schank. A scholar is included among the top collaborators of Thomas Schank 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 Thomas Schank. Thomas Schank is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Leydesdorff, Loet, et al.. (2008). Betweenness centrality and the interdisciplinarity of cognitive science. Cognitive Science. 4 indexed citations
2.
Leydesdorff, Loet, Thomas Schank, Andrea Scharnhorst, & Wouter de Nooy. (2008). Animación de la evolución de la revista <i>Social networks</i> en el tiempo utilizando una extensión din´mica del escalado multidimensional. El Profesional de la Informacion. 17(6). 611–626. 27 indexed citations
3.
Baur, Michael & Thomas Schank. (2008). Dynamic graph drawing in visone. Repository KITopen (Karlsruhe Institute of Technology). 13 indexed citations
4.
Leydesdorff, Loet & Thomas Schank. (2008). Dynamic animations of journal maps: Indicators of structural changes and interdisciplinary developments. Journal of the American Society for Information Science and Technology. 59(11). 1810–1818. 89 indexed citations
5.
Battista, Giuseppe Di, Thomas Erlebach, Alexander Hall, et al.. (2007). Computing the Types of the Relationships Between Autonomous Systems. IEEE/ACM Transactions on Networking. 15(2). 267–280. 64 indexed citations
6.
Schank, Thomas. (2007). Algorithmic Aspects of Triangle-Based Network Analysis. Repository KITopen (Karlsruhe Institute of Technology). 76 indexed citations
7.
Schank, Thomas & Dorothea Wagner. (2005). Approximating Clustering Coefficient and Transitivity. Journal of Graph Algorithms and Applications. 9(2). 265–275. 183 indexed citations
8.
Cornelsen, Sabine, Thomas Schank, & Dorothea Wagner. (2004). Drawing Graphs on Two and Three Lines. Journal of Graph Algorithms and Applications. 8(2). 161–177. 4 indexed citations
9.
Erlebach, Thomas, Alexander Hall, & Thomas Schank. (2002). Classifying customer-provider relationships in the internet. Repository for Publications and Research Data (ETH Zurich). 145. 27 indexed citations

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.

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