Kaspar Riesen

4.2k total citations
57 papers, 1.3k citations indexed

About

Kaspar Riesen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Kaspar Riesen has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 41 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Kaspar Riesen's work include Graph Theory and Algorithms (43 papers), Advanced Graph Neural Networks (30 papers) and Advanced Image and Video Retrieval Techniques (14 papers). Kaspar Riesen is often cited by papers focused on Graph Theory and Algorithms (43 papers), Advanced Graph Neural Networks (30 papers) and Advanced Image and Video Retrieval Techniques (14 papers). Kaspar Riesen collaborates with scholars based in Switzerland, South Africa and Canada. Kaspar Riesen's co-authors include Horst Bunke, Andreas Fischer, Miquel Ferrer, Volkmar Frinken, Francesc Serratosa, Ching Y. Suen, Rolf Ingold, Ernest Valveny, Michael Stauffer and Roman Schmidt and has published in prestigious journals such as Pattern Recognition, Pattern Recognition Letters and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

Kaspar Riesen

53 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaspar Riesen Switzerland 19 945 747 232 144 138 57 1.3k
Jun Huan United States 17 553 0.6× 599 0.8× 271 1.2× 99 0.7× 153 1.1× 54 1.3k
Mohammad Hossein Moattar Iran 17 507 0.5× 536 0.7× 174 0.8× 49 0.3× 162 1.2× 70 1.2k
A. Topchy United States 14 655 0.7× 1.3k 1.7× 288 1.2× 349 2.4× 141 1.0× 17 1.6k
Ata Kabán United Kingdom 20 322 0.3× 707 0.9× 198 0.9× 42 0.3× 122 0.9× 83 1.1k
Je Sen Teh Malaysia 22 1.3k 1.4× 443 0.6× 87 0.4× 341 2.4× 329 2.4× 50 1.6k
Fenlin Liu China 21 1.3k 1.4× 350 0.5× 185 0.8× 43 0.3× 55 0.4× 172 1.7k
Xiaoqiang Di China 19 480 0.5× 296 0.4× 165 0.7× 87 0.6× 80 0.6× 103 1.1k
José Ruíz-Shulcloper Cuba 13 240 0.3× 578 0.8× 131 0.6× 117 0.8× 137 1.0× 33 820
Subramanyam Mallela United States 8 477 0.5× 1.0k 1.4× 245 1.1× 279 1.9× 71 0.5× 9 1.5k

Countries citing papers authored by Kaspar Riesen

Since Specialization
Citations

This map shows the geographic impact of Kaspar Riesen'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 Kaspar Riesen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaspar Riesen more than expected).

Fields of papers citing papers by Kaspar Riesen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaspar Riesen. 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 Kaspar Riesen. The network helps show where Kaspar Riesen may publish in the future.

Co-authorship network of co-authors of Kaspar Riesen

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

All Works

20 of 20 papers shown
1.
Riesen, Kaspar, et al.. (2025). Fast approximate maximum common subgraph computation. Pattern Recognition Letters. 190. 66–72.
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Schütz, Narayan, Alexander Leichtle, & Kaspar Riesen. (2018). A comparative study of pattern recognition algorithms for predicting the inpatient mortality risk using routine laboratory measurements. Artificial Intelligence Review. 52(4). 2559–2573. 7 indexed citations
5.
Stauffer, Michael, et al.. (2018). Graph-based keyword spotting in historical manuscripts using Hausdorff edit distance. Pattern Recognition Letters. 121. 61–67. 5 indexed citations
6.
Fischer, Andreas, Kaspar Riesen, & Horst Bunke. (2016). Improved quadratic time approximation of graph edit distance by combining Hausdorff matching and greedy assignment. Pattern Recognition Letters. 87. 55–62. 25 indexed citations
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Riesen, Kaspar. (2015). Structural Pattern Recognition with Graph Edit Distance. 44 indexed citations
9.
Ferrer, Miquel, Francesc Serratosa, & Kaspar Riesen. (2015). Improving bipartite graph matching by assessing the assignment confidence. Pattern Recognition Letters. 65. 29–36. 15 indexed citations
10.
Riesen, Kaspar, Rolf Dornberger, & Horst Bunke. (2014). Iterative Bipartite Graph Edit Distance Approximation. 3434. 61–65. 1 indexed citations
11.
Fischer, Andreas, Ching Y. Suen, Volkmar Frinken, Kaspar Riesen, & Horst Bunke. (2014). Approximation of graph edit distance based on Hausdorff matching. Pattern Recognition. 48(2). 331–343. 72 indexed citations
12.
Borzeshi, Ehsan Zare, Massimo Piccardi, Kaspar Riesen, & Horst Bunke. (2012). Discriminative prototype selection methods for graph embedding. Pattern Recognition. 46(6). 1648–1657. 31 indexed citations
13.
Riesen, Kaspar & Horst Bunke. (2010). Graph Classification and Clustering Based on Vector Space Embedding. 75 indexed citations
14.
Bunke, Horst & Kaspar Riesen. (2010). Improving vector space embedding of graphs through feature selection algorithms. Pattern Recognition. 44(9). 1928–1940. 26 indexed citations
15.
Neuhaus, Michel, Horst Bunke, & Kaspar Riesen. (2009). Novel kernels for error-tolerant graph classification. Spatial Vision. 22(5). 425–441. 3 indexed citations
16.
Riesen, Kaspar & Horst Bunke. (2009). Graph Classification by Means of Lipschitz Embedding. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 39(6). 1472–1483. 47 indexed citations
17.
Bunke, Horst & Kaspar Riesen. (2008). Recent developments in graph classification and clustering using graph embedding kernels. Bern Open Repository and Information System (University of Bern). 1 indexed citations
18.
Riesen, Kaspar & Horst Bunke. (2008). Approximate graph edit distance computation by means of bipartite graph matching. Image and Vision Computing. 27(7). 950–959. 331 indexed citations
19.
Fischer, Andréas, Kaspar Riesen, & Horst Bunke. (2008). An experimental study of graph classification using prototype selection. Proceedings - International Conference on Pattern Recognition. 4109. 1–4. 3 indexed citations
20.
Riesen, Kaspar, et al.. (2007). Speeding up Graph Edit Distance Computation with a Bipartite Heuristic. Bern Open Repository and Information System (University of Bern). 37 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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