Jörg Hendrik Kappes

1.5k total citations
17 papers, 449 citations indexed

About

Jörg Hendrik Kappes is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jörg Hendrik Kappes has authored 17 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Jörg Hendrik Kappes's work include Machine Learning and Algorithms (6 papers), Medical Image Segmentation Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Jörg Hendrik Kappes is often cited by papers focused on Machine Learning and Algorithms (6 papers), Medical Image Segmentation Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Jörg Hendrik Kappes collaborates with scholars based in Germany, France and United States. Jörg Hendrik Kappes's co-authors include Christoph Schnörr, Stefan Schmidt, Martin Bergtholdt, Fred A. Hamprecht, Bogdan Savchynskyy, Thorsten Beier, Bjoern Andres, Ullrich Köthe, Vladimír Pekar and Sebastian P. M. Dries and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Computer Vision and Image Understanding.

In The Last Decade

Jörg Hendrik Kappes

17 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörg Hendrik Kappes Germany 11 246 140 101 59 52 17 449
Mingyu Yang China 8 116 0.5× 126 0.9× 23 0.2× 92 1.6× 41 0.8× 28 416
Osama A. Omer Egypt 12 160 0.7× 123 0.9× 90 0.9× 50 0.8× 20 0.4× 75 494
Xiangjiu Che China 9 90 0.4× 38 0.3× 44 0.4× 21 0.4× 8 0.2× 34 252
Jiawei Liu China 11 478 1.9× 158 1.1× 187 1.9× 12 0.2× 38 0.7× 23 711
Sven Haase Germany 9 161 0.7× 97 0.7× 60 0.6× 8 0.1× 41 0.8× 21 304
Wenjie Zhu China 10 107 0.4× 105 0.8× 54 0.5× 49 0.8× 18 0.3× 32 321
Fei Song China 10 31 0.1× 59 0.4× 20 0.2× 266 4.5× 21 0.4× 48 415
Guangming Lu China 10 194 0.8× 105 0.8× 23 0.2× 42 0.7× 5 0.1× 18 354
Mohsen Fayyaz Iran 6 307 1.2× 385 2.8× 104 1.0× 136 2.3× 6 0.1× 10 641

Countries citing papers authored by Jörg Hendrik Kappes

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Hendrik Kappes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jörg Hendrik Kappes. 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 Jörg Hendrik Kappes. The network helps show where Jörg Hendrik Kappes may publish in the future.

Co-authorship network of co-authors of Jörg Hendrik Kappes

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

All Works

17 of 17 papers shown
1.
Kappes, Jörg Hendrik, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, & Christoph Schnörr. (2016). Multicuts and Perturb & MAP for Probabilistic Graph Clustering. Journal of Mathematical Imaging and Vision. 56(2). 221–237. 1 indexed citations
2.
Kappes, Jörg Hendrik, et al.. (2016). Non-Binary Discrete Tomography by Continuous Non-Convex Optimization. IEEE Transactions on Computational Imaging. 2(3). 335–347. 3 indexed citations
3.
Kappes, Jörg Hendrik, M. Speth, Gerhard Reinelt, & Christoph Schnörr. (2015). Higher-order segmentation via multicuts. Computer Vision and Image Understanding. 143. 104–119. 19 indexed citations
4.
Beier, Thorsten, Fred A. Hamprecht, & Jörg Hendrik Kappes. (2015). Fusion moves for correlation clustering. 3507–3516. 22 indexed citations
5.
Swoboda, Paul, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, & Bogdan Savchynskyy. (2015). Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(7). 1370–1382. 7 indexed citations
6.
Kappes, Jörg Hendrik, Bjoern Andres, Fred A. Hamprecht, et al.. (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 115(2). 155–184. 77 indexed citations
7.
Beier, Thorsten, Thorben Kroeger, Jörg Hendrik Kappes, Ullrich Köthe, & Fred A. Hamprecht. (2014). Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning. 73–80. 19 indexed citations
8.
Swoboda, Paul, Bogdan Savchynskyy, Jörg Hendrik Kappes, & Christoph Schnörr. (2014). Partial Optimality by Pruning for MAP-Inference with General Graphical Models. 1. 1170–1177. 12 indexed citations
9.
Savchynskyy, Bogdan, Jörg Hendrik Kappes, Paul Swoboda, & Christoph Schnörr. (2013). Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. Neural Information Processing Systems. 26. 1950–1958. 7 indexed citations
10.
Kappes, Jörg Hendrik, M. Speth, Gerhard Reinelt, & Christoph Schnörr. (2013). Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization. 1752–1758. 15 indexed citations
11.
Becker, Florian, Frank Lenzen, Jörg Hendrik Kappes, & Christoph Schnörr. (2013). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. International Journal of Computer Vision. 105(3). 269–297. 5 indexed citations
12.
Kappes, Jörg Hendrik, Bogdan Savchynskyy, & Christoph Schnörr. (2012). A bundle approach to efficient MAP-inference by Lagrangian relaxation. 1688–1695. 23 indexed citations
13.
Savchynskyy, Bogdan, Jörg Hendrik Kappes, Stefan Schmidt, & Christoph Schnörr. (2011). A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling. 1817–1823. 26 indexed citations
14.
Becker, Florian, Frank Lenzen, Jörg Hendrik Kappes, & Christoph Schnörr. (2011). Variational recursive joint estimation of dense scene structure and camera motion from monocular high speed traffic sequences. 2. 1692–1699. 3 indexed citations
15.
Andres, Bjoern, Jörg Hendrik Kappes, Thorsten Beier, Ullrich Köthe, & Fred A. Hamprecht. (2011). Probabilistic image segmentation with closedness constraints. 2611–2618. 44 indexed citations
16.
Bergtholdt, Martin, Jörg Hendrik Kappes, Stefan Schmidt, & Christoph Schnörr. (2009). A Study of Parts-Based Object Class Detection Using Complete Graphs. International Journal of Computer Vision. 87(1-2). 93–117. 76 indexed citations
17.
Schmidt, Stefan, Jörg Hendrik Kappes, Martin Bergtholdt, et al.. (2007). Spine Detection and Labeling Using a Parts-Based Graphical Model. Lecture notes in computer science. 20. 122–133. 90 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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