Raymond Veldhuis

5.1k total citations
241 papers, 3.1k citations indexed

About

Raymond Veldhuis is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Raymond Veldhuis has authored 241 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Signal Processing, 146 papers in Computer Vision and Pattern Recognition and 52 papers in Information Systems. Recurrent topics in Raymond Veldhuis's work include Biometric Identification and Security (130 papers), Face recognition and analysis (88 papers) and Face and Expression Recognition (67 papers). Raymond Veldhuis is often cited by papers focused on Biometric Identification and Security (130 papers), Face recognition and analysis (88 papers) and Face and Expression Recognition (67 papers). Raymond Veldhuis collaborates with scholars based in Netherlands, Norway and Germany. Raymond Veldhuis's co-authors include Luuk Spreeuwers, Qian Tao, A.M. Bazen, T.A.M. Kevenaar, Esther Klabbers, Haiyun Xu, Christoph Busch, B. Yegnanarayana, Ileana Buhan and Emile Kelkboom and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Raymond Veldhuis

223 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raymond Veldhuis Netherlands 30 2.0k 1.7k 742 589 179 241 3.1k
Raghavendra Ramachandra Norway 34 2.6k 1.3× 3.1k 1.8× 850 1.1× 514 0.9× 295 1.6× 266 4.3k
Josef Bigün Sweden 31 2.2k 1.1× 2.9k 1.7× 629 0.8× 260 0.4× 228 1.3× 148 3.9k
Mayank Vatsa India 47 3.9k 1.9× 4.8k 2.8× 1.2k 1.6× 981 1.7× 403 2.3× 307 6.8k
Bülent Sankur Türkiye 38 1.1k 0.5× 3.5k 2.0× 293 0.4× 480 0.8× 90 0.5× 188 4.5k
Jianjiang Feng China 38 2.4k 1.2× 2.7k 1.5× 563 0.8× 370 0.6× 541 3.0× 129 4.0k
Joaquín González-Rodríguez Spain 31 2.0k 1.0× 1.1k 0.7× 508 0.7× 1.6k 2.8× 192 1.1× 120 3.1k
Daniel Riccio Italy 22 969 0.5× 1.4k 0.8× 389 0.5× 251 0.4× 76 0.4× 69 2.0k
Jean‐Luc Dugelay France 29 1.2k 0.6× 3.6k 2.1× 358 0.5× 573 1.0× 44 0.2× 226 4.1k
Richard P. Wildes Canada 24 1.9k 1.0× 2.6k 1.5× 890 1.2× 501 0.9× 233 1.3× 70 3.8k
Gongping Yang China 28 1.4k 0.7× 1.2k 0.7× 289 0.4× 409 0.7× 707 3.9× 136 3.0k

Countries citing papers authored by Raymond Veldhuis

Since Specialization
Citations

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

Fields of papers citing papers by Raymond Veldhuis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raymond Veldhuis

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

All Works

20 of 20 papers shown
1.
Spreeuwers, Luuk, et al.. (2024). A Survey on Automatic Face Recognition Using Side‐View Face Images. IET Biometrics. 2024(1).
2.
Veldhuis, Raymond, Luuk Spreeuwers, Christoph Busch, et al.. (2024). A Comparative Study of Cross‐Device Finger Vein Recognition Using Classical and Deep Learning Approaches. IET Biometrics. 2024(1). 2 indexed citations
3.
Spreeuwers, Luuk, et al.. (2024). The Impact of Illumination on Finger Vascular Pattern Recognition. IET Biometrics. 2024(1). 1 indexed citations
4.
Strisciuglio, Nicola, et al.. (2024). Gender Privacy Angular Constraints for Face Recognition. IEEE Transactions on Biometrics Behavior and Identity Science. 6(3). 352–363. 1 indexed citations
5.
Liu, Lu, Peter M. A. van Ooijen, Matthijs Oudkerk, et al.. (2023). The U-Net Family for Epicardial Adipose Tissue Segmentation and Quantification in Low-Dose CT. SHILAP Revista de lepidopterología. 11(4). 104–104. 3 indexed citations
6.
Fiérrez, Julián, et al.. (2023). Toward Face Biometric De-identification using Adversarial Examples. Biblos-e Archivo (Universidad Autónoma de Madrid). 723–728. 9 indexed citations
7.
Zheng, Sunyi, Jiapan Guo, Johannes A. Langendijk, et al.. (2023). Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning. Radiotherapy and Oncology. 180. 109483–109483. 22 indexed citations
8.
Wang, Shunxin, Christoph Brüne, Raymond Veldhuis, & Nicola Strisciuglio. (2023). DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. University of Twente Research Information. 129–138. 3 indexed citations
9.
Spreeuwers, Luuk, et al.. (2022). Understanding and modeling finger vascular pattern imaging. IET Image Processing. 16(5). 1280–1292. 5 indexed citations
10.
Veldhuis, Raymond, et al.. (2019). Multi-Resolution Face Recognition: The Behaviors of Local Binary Pattern at Different Frequency Bands. University of Twente Research Information. 2 indexed citations
11.
Spreeuwers, Luuk, et al.. (2014). Fixed FAR vote fusion of regional facial classifiers. University of Twente Research Information. 1–4. 3 indexed citations
12.
Spreeuwers, Luuk, et al.. (2013). Automatic landmark detection and face recognition for side-view face images. University of Twente Research Information. 337–344. 3 indexed citations
13.
Meuwly, Didier & Raymond Veldhuis. (2012). Forensic biometrics: From two communities to one discipline. University of Twente Research Information. 1–12. 32 indexed citations
14.
Veldhuis, Raymond, et al.. (2010). Forensic Face Recognition : A Survey. University of Twente Research Information. 1–19. 8 indexed citations
15.
Veldhuis, Raymond, et al.. (2009). Binary Biometric Representation through Pairwise Polar Quantization. Lecture notes in computer science. 5558(5558). 9 indexed citations
16.
Kelkboom, Emile, Jeroen Breebaart, Raymond Veldhuis, Xuebing Zhou, & Christoph Busch. (2009). Multi-Sample Fusion with Template Protection.. University of Twente Research Information. 55–67. 5 indexed citations
17.
Buhan, Ileana, Jeroen Doumen, Pieter Hartel, & Raymond Veldhuis. (2007). Constructing practical Fuzzy Extractors using QIM. University of Twente Research Information. 16 indexed citations
18.
Tao, Qian, et al.. (2007). Optimal Decision Fusion and Its Application on 3D Face Recognition. University of Twente Research Information. 15–24. 7 indexed citations
19.
Buhan, Ileana, Jeroen Doumen, Pieter Hartel, & Raymond Veldhuis. (2007). Secure Ad-hoc Pairing with Biometrics: SAfE. University of Twente Research Information. 450–456. 21 indexed citations
20.
Veldhuis, Raymond. (1992). Restoration of lost samples in digital signals. University of Twente Research Information. 35 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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