Johannes Keustermans

544 total citations
10 papers, 217 citations indexed

About

Johannes Keustermans is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Oral Surgery. According to data from OpenAlex, Johannes Keustermans has authored 10 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 2 papers in Computational Mechanics and 2 papers in Oral Surgery. Recurrent topics in Johannes Keustermans's work include Medical Image Segmentation Techniques (6 papers), Face and Expression Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Johannes Keustermans is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Face and Expression Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Johannes Keustermans collaborates with scholars based in Belgium and France. Johannes Keustermans's co-authors include Dirk Vandermeulen, Paul Suetens, Dirk Smeets, Jeroen Hermans, Peter Claes, Françoise Tilotta, Wouter Mollemans, Stijn De Buck, Hein Heidbüchel and Filip Schutyser and has published in prestigious journals such as Computer Vision and Image Understanding, Lirias (KU Leuven) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Johannes Keustermans

10 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johannes Keustermans Belgium 5 190 49 43 23 11 10 217
Xinchen Ye China 5 316 1.7× 32 0.7× 11 0.3× 17 0.7× 4 0.4× 7 332
Deqing Sun United States 6 165 0.9× 28 0.6× 10 0.2× 22 1.0× 13 1.2× 12 206
Thibault Napoléon France 7 112 0.6× 20 0.4× 35 0.8× 6 0.3× 5 0.5× 19 151
Zhiguang Yang China 5 152 0.8× 15 0.3× 28 0.7× 17 0.7× 10 0.9× 9 205
Nianjin Ye China 6 154 0.8× 39 0.8× 8 0.2× 60 2.6× 48 4.4× 8 205
Jeanpierre Guédon France 8 152 0.8× 10 0.2× 10 0.2× 45 2.0× 11 1.0× 50 226
Longcun Jin China 7 233 1.2× 25 0.5× 5 0.1× 12 0.5× 2 0.2× 16 264
Taoran Yi China 2 140 0.7× 60 1.2× 5 0.1× 27 1.2× 16 1.5× 3 205
Matt Whalen United States 3 173 0.9× 34 0.7× 18 0.4× 17 0.7× 8 0.7× 3 189
Matthieu Fradet France 6 217 1.1× 8 0.2× 12 0.3× 11 0.5× 6 0.5× 16 235

Countries citing papers authored by Johannes Keustermans

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Keustermans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Keustermans

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

All Works

10 of 10 papers shown
1.
Keustermans, Johannes, Dirk Vandermeulen, Wouter Mollemans, Filip Schutyser, & Paul Suetens. (2014). Construction of statistical shape models using a probabilistic point-based shape representation. Lirias (KU Leuven). 7–7. 1 indexed citations
2.
Smeets, Dirk, Johannes Keustermans, Jeroen Hermans, Dirk Vandermeulen, & Paul Suetens. (2012). Feature-based piecewise rigid registration in 2-D medical images. Lirias (KU Leuven). 222. 696–699. 4 indexed citations
3.
Smeets, Dirk, Johannes Keustermans, Dirk Vandermeulen, & Paul Suetens. (2012). meshSIFT: Local surface features for 3D face recognition under expression variations and partial data. Computer Vision and Image Understanding. 117(2). 158–169. 101 indexed citations
4.
Keustermans, Johannes, et al.. (2011). CT-based robust statistical shape modeling for forensic craniofacial reconstruction. P29–P29. 3 indexed citations
5.
Keustermans, Johannes, Stijn De Buck, Hein Heidbüchel, & Paul Suetens. (2011). Automated planning of ablation targets in atrial fibrillation treatment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7962. 796207–796207. 2 indexed citations
6.
Smeets, Dirk, Johannes Keustermans, Jeroen Hermans, et al.. (2011). Symmetric surface-feature based 3D face recognition for partial data. Lirias (KU Leuven). 1–6. 9 indexed citations
7.
Loeckx, Dirk, Dirk Smeets, Johannes Keustermans, et al.. (2010). 3D lung registration using splineMIRIT and Robust Tree Registration (RTR). Lirias (KU Leuven). 2 indexed citations
8.
Smeets, Dirk, et al.. (2010). Robust matching of 3D lung vessel trees. Lirias (KU Leuven). 61–70. 16 indexed citations
9.
Keustermans, Johannes, Wouter Mollemans, Dirk Vandermeulen, & Paul Suetens. (2010). Automated Cephalometric Landmark Identification Using Shape and Local Appearance Models. Lirias (KU Leuven). 2464–2467. 4 indexed citations
10.
Keustermans, Johannes, et al.. (2010). Feature detection on 3D face surfaces for pose normalisation and recognition. Lirias (KU Leuven). 1–6. 75 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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