P.W. Verbeek

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 Ukraine. 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

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P.W. Verbeek Netherlands	20	795	133	127	121	120	61	1.3k
Laure Blanc-Féraud France	13	1.3k 1.7×	100 0.8×	445 3.5×	305 2.5×	90 0.8×	45	2.1k
Tomeu Coll Spain	3	1.8k 2.3×	40 0.3×	382 3.0×	260 2.1×	153 1.3×	3	2.3k
John Goutsias United States	23	873 1.1×	34 0.3×	55 0.4×	44 0.4×	228 1.9×	87	1.9k
Dmitry Ulyanov Russia	6	1.6k 2.0×	112 0.8×	207 1.6×	294 2.4×	356 3.0×	6	2.5k
T. Randen Norway	7	803 1.0×	84 0.6×	58 0.5×	39 0.3×	132 1.1×	18	1.1k
Won‐Ki Jeong South Korea	20	682 0.9×	64 0.5×	370 2.9×	483 4.0×	192 1.6×	85	1.8k
M. Sabry Hassouna United States	10	320 0.4×	53 0.4×	97 0.8×	133 1.1×	37 0.3×	23	649
Arnold Meijster Netherlands	9	644 0.8×	18 0.1×	36 0.3×	111 0.9×	158 1.3×	13	1.2k
Per‐Erik Danielsson Sweden	13	890 1.1×	16 0.1×	211 1.7×	241 2.0×	204 1.7×	32	1.8k
Mark D. Pritt United States	8	1.2k 1.5×	69 0.5×	122 1.0×	134 1.1×	48 0.4×	25	2.2k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Toppan, Francesco & P.W. Verbeek. (2009). On alphabetic presentations of Clifford algebras and their possible applications. Journal of Mathematical Physics. 50(12). 1 indexed citations

Buls, Nico, et al.. (2007). Influence of display quality on radiologists' performance in the detection of lung nodules on radiographs. British Journal of Radiology. 80(957). 738–743. 15 indexed citations

Dijk, Judith & P.W. Verbeek. (2006). Lightness filtering in color images with respect to the gamut. Conference on Colour in Graphics Imaging and Vision. 3(1). 330–335. 3 indexed citations

Vliet, Lucas J. van, P.W. Verbeek, & Ian Young. (2005). Quantitative imaging: how to measure size features in digitized images. 2. 1227–1230. 3 indexed citations

Rieger, Bernd, Frank Timmermans, Lucas J. van Vliet, & P.W. Verbeek. (2004). On curvature estimation of ISO surfaces in 3D gray-value images and the computation of shape descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(8). 1088–1094. 34 indexed citations

Young, Ian T., V.P. Iordanov, Arthur R. Kroon, et al.. (2003). Monitoring enzymatic reactions in nanolitre wells. Journal of Microscopy. 212(3). 254–263. 17 indexed citations

Bakker, P.G., Lucas J. van Vliet, & P.W. Verbeek. (2003). Edge preserving orientation adaptive filtering. 535–540. 91 indexed citations

Vliet, Lucas J. van & P.W. Verbeek. (2002). Better geometric measurements based on photometric information. 1357–1360. 10 indexed citations

Weijer, Joost van de, et al.. (1999). Curvature estimation from orientation fields. Research Repository (Delft University of Technology). 22 indexed citations

10.

Ridder, Dick de, Robert P. W. Duin, P.W. Verbeek, & Lucas J. van Vliet. (1999). The Applicability of Neural Networks to Non-linear Image Processing. Pattern Analysis and Applications. 2(2). 111–128. 18 indexed citations

11.

Verbeek, P.W., et al.. (1998). A smart range image sensor. European Solid-State Circuits Conference. 208–211. 15 indexed citations

12.

Ridder, Dick de, Robert P. W. Duin, P.W. Verbeek, & Lucas J. van Vliet. (1998). On the Application of Neural Networks to Non-Linear Image Processing Tasks. International Conference on Neural Information Processing. 161–165. 1 indexed citations

13.

Verbeek, P.W., et al.. (1997). Improved Orientation Selectivity for Orientation Estimation. Data Archiving and Networked Services (DANS). 10 indexed citations

14.

Verbeek, P.W. & Lucas J. van Vliet. (1993). Curvature and Bending Energy in Digitized 2D and 3D Images. Research Repository (Delft University of Technology). 37 indexed citations

15.

Verwer, B.J.H., Lucas J. van Vliet, & P.W. Verbeek. (1993). BINARY AND GREY-VALUE SKELETONS: METRICS AND ALGORITHMS. International Journal of Pattern Recognition and Artificial Intelligence. 7(5). 1287–1308. 15 indexed citations

16.

Verbeek, P.W. & Lucas J. van Vliet. (1993). Estimators of 2D edge length and position, 3D surface area and position in sampled grey‐valued images. 1(1). 47–61. 15 indexed citations

17.

Verbeek, P.W., Henri A. Vrooman, & Lucas J. van Vliet. (1988). Low-level image processing by max-min filters. Signal Processing. 15(3). 249–258. 59 indexed citations

18.

Verbeek, P.W., Leo Dorst, B.J.H. Verwer, & Frans C. A. Groen. (1986). Collision Avoidance and Path Finding through Constrained Distance Tranceformation in Robot State Space. 627–634. 20 indexed citations

19.

Verbeek, P.W.. (1985). A class of sampling-error free measures in oversampled band-limited images. Pattern Recognition Letters. 3(4). 287–292. 21 indexed citations

20.

Gerritsen, Frans & P.W. Verbeek. (1984). Implementation of cellular-logic operators using 3∗3 convolution and table lookup hardware. Computer Vision Graphics and Image Processing. 27(1). 115–123. 21 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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