Peter de With

801 total citations
25 papers, 510 citations indexed

About

Peter de With is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Peter de With has authored 25 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Peter de With's work include Advanced Vision and Imaging (6 papers), Video Coding and Compression Technologies (5 papers) and Real-Time Systems Scheduling (3 papers). Peter de With is often cited by papers focused on Advanced Vision and Imaging (6 papers), Video Coding and Compression Technologies (5 papers) and Real-Time Systems Scheduling (3 papers). Peter de With collaborates with scholars based in Netherlands, Australia and Singapore. Peter de With's co-authors include Jungong Han, Fons van der Sommen, Jacques Bergman, Wouter L. Curvers, Dirk Farin, Erik J. Schoon, Svitlana Zinger, Bas L. Weusten, Oliver Pech and Raf Bisschops and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gut and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Peter de With

21 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter de With Netherlands	9	230	132	120	105	90	25	510
Håkon Kvale Stensland Norway	13	273 1.2×	56 0.4×	170 1.4×	23 0.2×	188 2.1×	51	669
Jiong He Singapore	9	198 0.9×	105 0.8×	204 1.7×	36 0.3×	217 2.4×	19	757
Ruikai Zhang China	10	153 0.7×	84 0.6×	281 2.3×	37 0.4×	249 2.8×	16	585
Farhan Hussain Pakistan	11	120 0.5×	85 0.6×	21 0.2×	43 0.4×	52 0.6×	50	428
Mohamed Maher Ben Ismail Saudi Arabia	13	145 0.6×	19 0.1×	33 0.3×	45 0.4×	127 1.4×	68	465
Qingyao Wu China	14	164 0.7×	64 0.5×	49 0.4×	21 0.2×	176 2.0×	38	604
Sae Hwang United States	12	349 1.5×	65 0.5×	385 3.2×	17 0.2×	187 2.1×	18	673
Hiam Alquran Jordan	15	105 0.5×	113 0.9×	122 1.0×	18 0.2×	358 4.0×	71	816
Sigrun Losada Eskeland Norway	13	344 1.5×	141 1.1×	454 3.8×	49 0.5×	363 4.0×	24	977

Countries citing papers authored by Peter de With

Since Specialization

Citations

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

Fields of papers citing papers by Peter de With

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter de With. 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 Peter de With. The network helps show where Peter de With may publish in the future.

Co-authorship network of co-authors of Peter de With

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

All Works

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20 of 20 papers shown

Winkens, Björn, Sharmila Subramaniam, Pradeep Bhandari, et al.. (2023). Automatic textual description of colorectal polyp features: explainable artificial intelligence. SHILAP Revista de lepidopterología. 11(5). E513–E518. 2 indexed citations

Huisman, T. J., et al.. (2023). Training procedure for scanning electron microscope 3D surface reconstruction using unsupervised domain adaptation with simulated data. Journal of Micro/Nanopatterning Materials and Metrology. 22(3). 2 indexed citations

Wijnhoven, Rob G. J., et al.. (2022). 3D Detection of Vehicles from 2D Images in Traffic Surveillance. TU/e Research Portal. 97–106. 2 indexed citations

Sommen, Fons van der, Jeroen de Groof, Maarten R. Struyvenberg, et al.. (2020). Machine learning in GI endoscopy: practical guidance in how to interpret a novel field. Gut. 69(11). 2035–2045. 80 indexed citations

Bondarev, Egor, et al.. (2020). Multi-Branch Convolutional Descriptors for Content-based Remote Sensing Image Retrieval. 2 indexed citations

With, Peter de, et al.. (2019). Improved 3D Scene Modeling for Image Registration in Change Detection. Electronic Imaging. 31(7). 465–1.

Edwards, Christopher, Maria Antico, Matteo Dunnhofer, et al.. (2018). Quality Assessment of Transperineal Ultrasound Images of the Male Pelvic Region Using Deep Learning. Research Publications (Maastricht University). 1–4.

Sommen, Fons van der, Svitlana Zinger, Wouter L. Curvers, et al.. (2016). Computer-aided detection of early neoplastic lesions in Barrett’s esophagus. Endoscopy. 48(7). 617–624. 130 indexed citations

With, Peter de, et al.. (2013). Block-based detection systems for visual artifact location. IEEE Transactions on Consumer Electronics. 59(2). 376–384. 1 indexed citations

10.

With, Peter de, et al.. (2012). Texture-adaptive skin detection for TV and its real-time implementation on DSP and FPGA. IEEE Transactions on Consumer Electronics. 58(1). 161–169. 7 indexed citations

11.

With, Peter de, et al.. (2011). Low-complexity wavelet-based scalable image & video coding for home-use surveillance. IEEE Transactions on Consumer Electronics. 57(2). 507–515. 6 indexed citations

12.

With, Peter de, et al.. (2011). IP-recovery in the DVB-H Link layer for TV on mobile. IEEE Transactions on Consumer Electronics. 57(2). 339–347. 3 indexed citations

13.

With, Peter de, et al.. (2011). Efficient validation/verification of a robust DVB-H link layer. IEEE Transactions on Consumer Electronics. 57(4). 1679–1687. 2 indexed citations

14.

Han, Jungong, et al.. (2009). Automatic video-based human motion analyzer for consumer surveillance system. IEEE Transactions on Consumer Electronics. 55(2). 591–598. 96 indexed citations

15.

Morvan, Yannick, Dirk Farin, & Peter de With. (2008). System architecture for free-viewpoint video and 3D-TV. IEEE Transactions on Consumer Electronics. 54(2). 925–932. 36 indexed citations

16.

Han, Jungong, D. Farin, & Peter de With. (2008). Broadcast Court-Net Sports Video Analysis Using Fast 3-D Camera Modeling. IEEE Transactions on Circuits and Systems for Video Technology. 18(11). 1628–1638. 40 indexed citations

17.

With, Peter de, et al.. (2008). System requirements and considerations for visual table of contents in PVR. IEEE Transactions on Consumer Electronics. 54(3). 1206–1214.

18.

Bondarev, Egor, Michel R. V. Chaudron, Heorhiy Byelas, & Peter de With. (2006). A Toolkit for Design and Performance Analysis of Real-Time Component-Based Software Systems. TU/e Research Portal. 4–4. 1 indexed citations

19.

Bondarev, Egor, Peter de With, Michel R. V. Chaudron, & J. Muskens. (2005). Modelling of Input-Parameter Dependency for Performance Predictions of Component-Based Embedded Systems. TU/e Research Portal. 2150. 36–43. 30 indexed citations

20.

Bondarev, Egor, J. Muskens, Peter de With, Michel R. V. Chaudron, & JJ Johan Lukkien. (2004). Predicting real-time properties of component assemblies: a scenario-simulation approach. TU/e Research Portal. 40–47. 13 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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