Maarten Kruithof

489 total citations
22 papers, 363 citations indexed

About

Maarten Kruithof is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Maarten Kruithof has authored 22 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Maarten Kruithof's work include Advanced Image and Video Retrieval Techniques (6 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (4 papers). Maarten Kruithof is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (4 papers). Maarten Kruithof collaborates with scholars based in Netherlands, Denmark and United States. Maarten Kruithof's co-authors include Douglas B. Weibel, Scott Potenta, George M. Whitesides, Samuel K. Sia, Andrew Lee, Marcel Geurts, A.G. Huizing, Steven P. Jacobs, Klamer Schutte and Henri Bouma and has published in prestigious journals such as Analytical Chemistry, International Journal of Architectural Heritage and University of Groningen research database (University of Groningen / Centre for Information Technology).

In The Last Decade

Maarten Kruithof

20 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maarten Kruithof Netherlands 8 182 88 79 74 65 22 363
Yong Cao China 11 50 0.3× 137 1.6× 66 0.8× 138 1.9× 46 0.7× 35 413
Wenju Xu United States 10 70 0.4× 79 0.9× 247 3.1× 96 1.3× 19 0.3× 21 437
Pingping Zhang China 9 121 0.7× 52 0.6× 110 1.4× 23 0.3× 18 0.3× 35 375
Thierry Oggier Switzerland 8 70 0.4× 63 0.7× 140 1.8× 10 0.1× 63 1.0× 11 360
Bikash Chandra Sahana India 11 76 0.4× 144 1.6× 22 0.3× 26 0.4× 110 1.7× 58 410
Bei Sun China 12 58 0.3× 127 1.4× 145 1.8× 42 0.6× 205 3.2× 30 390
Vibha Vyas India 11 85 0.5× 103 1.2× 132 1.7× 59 0.8× 25 0.4× 53 344
Madan Kumar Sharma India 8 105 0.6× 172 2.0× 102 1.3× 46 0.6× 179 2.8× 32 355
Yina Guo China 10 72 0.4× 29 0.3× 73 0.9× 73 1.0× 7 0.1× 47 391
Maheshi B. Dissanayake Sri Lanka 10 64 0.4× 67 0.8× 101 1.3× 42 0.6× 11 0.2× 41 275

Countries citing papers authored by Maarten Kruithof

Since Specialization
Citations

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

Fields of papers citing papers by Maarten Kruithof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maarten Kruithof

This figure shows the co-authorship network connecting the top 25 collaborators of Maarten Kruithof. A scholar is included among the top collaborators of Maarten Kruithof 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 Maarten Kruithof. Maarten Kruithof 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.
Burghouts, Gertjan J., et al.. (2024). Synthesizing Classifiers from Prior Knowledge. 47–58. 1 indexed citations
2.
Huizinga, Wyke, Maarten Kruithof, Gertjan J. Burghouts, & Klamer Schutte. (2023). Efficient Transfer by Robust Label Selection and Learning with Pseudo-Labels. 2660–2664.
3.
Huizinga, Wyke, et al.. (2022). Siamese Convolutional Neural Networks to Quantify Crack Pattern Similarity in Masonry Facades. International Journal of Architectural Heritage. 17(1). 147–169. 5 indexed citations
4.
Kruithof, Maarten, et al.. (2020). Adversarial patch camouflage against aerial detection. Institutional Repository University of Antwerp (University of Antwerp). 11–11. 33 indexed citations
5.
Boer, Maaike de, et al.. (2019). Rapid Annotation Tool to Train Novel Concept Detectors with Active Learning. 1 indexed citations
6.
Pruim, Raimon, Annegreet van Opbroek, Maarten Kruithof, et al.. (2019). Spatiotemporal detection of maritime targets using neural networks. 4–4. 4 indexed citations
7.
Jensen, Morten B., Maarten Kruithof, Kalle Åström, et al.. (2019). A Framework for Automated Traffic Safety Analysis from Video Using Modern Computer Vision. 4 indexed citations
8.
Jensen, Morten B., Maarten Kruithof, Kalle Åström, et al.. (2019). A Framework For Automated Analysis of Surrogate Measures of Safety from Video using Deep Learning Techniques. VBN Forskningsportal (Aalborg Universitet). 281–306. 1 indexed citations
9.
Jacobs, Steven P., et al.. (2017). Gesture recognition with a low power FMCW radar and a deep convolutional neural network. 163–166. 92 indexed citations
10.
Nieuwenhuizen, Robert P. J., Maarten Kruithof, & Klamer Schutte. (2017). Evaluation of deep neural networks for single image super-resolution in a maritime context. 8692. 9–9.
11.
Bouma, Henri, et al.. (2017). Optimizing a neural network for detection of moving vehicles in video. 27. 18–18. 3 indexed citations
12.
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14.
Schutte, Klamer, Henri Bouma, J.G.M. Schavemaker, et al.. (2015). Interactive detection of incrementally learned concepts in images with ranking and semantic query interpretation. University of Groningen research database (University of Groningen / Centre for Information Technology). 1–4. 10 indexed citations
15.
Burghouts, Gertjan J., et al.. (2013). A Search Engine for Retrieval and Inspection of Events with 48 Human Actions in Realistic Videos. 413–418. 3 indexed citations
16.
Bouma, Henri, et al.. (2013). Recognition and localization of relevant human behavior in videos. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8711. 87110B–87110B. 19 indexed citations
17.
Kruithof, Maarten, et al.. (2012). Patch-based local turbulence compensation in anisoplanatic conditions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8355. 83550T–83550T. 12 indexed citations
18.
Kruithof, Maarten, et al.. (2012). Single image super resolution via sparse reconstruction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8365. 83650F–83650F. 1 indexed citations
19.
Kruithof, Maarten, et al.. (2005). Quantitative risk assessment; a key to cost-effective SAIFI and SAIDI reduction. 2005. v5–14. 1 indexed citations
20.
Weibel, Douglas B., Maarten Kruithof, Scott Potenta, et al.. (2005). Torque-Actuated Valves for Microfluidics. Analytical Chemistry. 77(15). 4726–4733. 150 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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