P.W. Verbeek

89 total papers · 2.0k total citations
61 papers, 1.3k citations indexed

About

P.W. Verbeek is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, P.W. Verbeek has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 8 papers in Computational Mechanics. Recurrent topics in P.W. Verbeek's work include Medical Image Segmentation Techniques (18 papers), Optical measurement and interference techniques (14 papers) and Advanced Vision and Imaging (10 papers). P.W. Verbeek is often cited by papers focused on Medical Image Segmentation Techniques (18 papers), Optical measurement and interference techniques (14 papers) and Advanced Vision and Imaging (10 papers). P.W. Verbeek collaborates with scholars based in Netherlands, United States and Belgium. P.W. Verbeek's co-authors include Lucas J. van Vliet, Ian Young, B.J.H. Verwer, S. Lobregt, F.C.A. Groen, P.G. Bakker, Brian H. Mayall, F.C.A. Groen, Henri A. Vrooman and Joost van de Weijer and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Reports on Progress in Physics and Pattern Recognition.

In The Last Decade

P.W. Verbeek

58 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
P.W. Verbeek	795	132	128	121	120	61	1.3k
Won‐Ki Jeong	678 0.9×	64 0.5×	368 2.9×	482 4.0×	190 1.6×	85	1.7k
Fiorella Sgallari	624 0.8×	84 0.6×	552 4.3×	208 1.7×	55 0.5×	89	1.7k
François G. Meyer	861 1.1×	75 0.6×	135 1.1×	211 1.7×	156 1.3×	92	1.9k
Zuoqiang Shi	312 0.4×	62 0.5×	278 2.2×	110 0.9×	82 0.7×	70	1.2k
Serena Morigi	484 0.6×	88 0.7×	556 4.3×	116 1.0×	49 0.4×	82	1.4k
Leonid Yaroslavsky	1.2k 1.5×	37 0.3×	180 1.4×	97 0.8×	66 0.6×	93	1.8k
Nantheera Anantrasirichai	466 0.6×	131 1.0×	35 0.3×	175 1.4×	155 1.3×	75	1.1k
Hua Li	633 0.8×	31 0.2×	127 1.0×	355 2.9×	178 1.5×	152	1.5k
T. Randen	805 1.0×	84 0.6×	60 0.5×	39 0.3×	133 1.1×	18	1.1k
Meirav Galun	1.3k 1.6×	16 0.1×	286 2.2×	123 1.0×	162 1.4×	41	1.8k

Countries citing papers authored by P.W. Verbeek

Since Specialization

Citations

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

Fields of papers citing papers by P.W. Verbeek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.W. Verbeek. 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 P.W. Verbeek. The network helps show where P.W. Verbeek may publish in the future.

Co-authorship network of co-authors of P.W. Verbeek

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

All Works

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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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