Jan van Gemert

5.2k total citations · 2 hit papers
76 papers, 2.4k citations indexed

About

Jan van Gemert is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jan van Gemert has authored 76 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Jan van Gemert's work include Human Pose and Action Recognition (21 papers), Advanced Image and Video Retrieval Techniques (21 papers) and Multimodal Machine Learning Applications (18 papers). Jan van Gemert is often cited by papers focused on Human Pose and Action Recognition (21 papers), Advanced Image and Video Retrieval Techniques (21 papers) and Multimodal Machine Learning Applications (18 papers). Jan van Gemert collaborates with scholars based in Netherlands, Spain and France. Jan van Gemert's co-authors include Cees G. M. Snoek, Jan‐Mark Geusebroek, A.W.M. Smeulders, Cor J. Veenman, Mihir Jain, Marcel Worring, Thomas Mensink, Silvia L. Pintea, Theo Gevers and Yunqiang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Jan van Gemert

65 papers receiving 2.3k citations

Hit Papers

Visual Word Ambiguity 2006 2026 2012 2019 2009 2006 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Visual Word Ambiguity
    2009 512 citations Jan van Gemert, Cor J. Veenman et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  2. The challenge problem for automated detection of 101 semantic concepts in multimedia
    2006 401 citations Cees G. M. Snoek, Marcel Worring et al. UvA-DARE (University of Amsterdam) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan van Gemert Netherlands 22 2.0k 858 208 192 130 76 2.4k
Honggang Zhang China 21 1.8k 0.9× 457 0.5× 202 1.0× 246 1.3× 159 1.2× 136 2.4k
Xinmei Tian China 26 2.1k 1.1× 1.3k 1.5× 221 1.1× 350 1.8× 127 1.0× 116 2.8k
Gianfranco Doretto United States 20 1.9k 1.0× 689 0.8× 85 0.4× 286 1.5× 210 1.6× 63 2.5k
Bo Dai China 21 1.7k 0.9× 768 0.9× 90 0.4× 152 0.8× 162 1.2× 55 2.2k
Chaoqun Hong China 13 1.0k 0.5× 417 0.5× 157 0.8× 138 0.7× 86 0.7× 51 1.4k
Weidong Min China 24 1.2k 0.6× 374 0.4× 332 1.6× 260 1.4× 92 0.7× 126 1.8k
Daniel Keysers Germany 27 2.4k 1.2× 943 1.1× 342 1.6× 80 0.4× 171 1.3× 66 2.9k
Ariadna Quattoni Spain 12 1.8k 0.9× 1.1k 1.3× 220 1.1× 180 0.9× 178 1.4× 29 2.6k

Countries citing papers authored by Jan van Gemert

Since Specialization
Citations

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

Fields of papers citing papers by Jan van Gemert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan van Gemert. 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 Jan van Gemert. The network helps show where Jan van Gemert may publish in the future.

Co-authorship network of co-authors of Jan van Gemert

This figure shows the co-authorship network connecting the top 25 collaborators of Jan van Gemert. A scholar is included among the top collaborators of Jan van Gemert 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 Jan van Gemert. Jan van Gemert 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.
Gemert, Jan van, et al.. (2025). End-to-End Implicit Neural Representations for Classification. 18728–18737.
2.
3.
Liu, Xin, et al.. (2023). Video BagNet: short temporal receptive fields increase robustness in long-term action recognition. abs/2102.05095. 159–166. 2 indexed citations
4.
Ruiter, Annabel M., et al.. (2023). Assessing facial weakness in myasthenia gravis with facial recognition software and deep learning. Annals of Clinical and Translational Neurology. 10(8). 1314–1325. 9 indexed citations
5.
Li, Yunqiang, et al.. (2021). Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels. 10289–10296. 11 indexed citations
6.
López-Sastre, Roberto J., et al.. (2019). The Instantaneous Accuracy: a Novel Metric for the Problem of Online Human Behaviour Recognition in Untrimmed Videos. 1282–1284. 1 indexed citations
7.
Pezzotti, Nicola, Thomas Höllt, Jan van Gemert, et al.. (2017). DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks. IEEE Transactions on Visualization and Computer Graphics. 24(1). 98–108. 108 indexed citations
8.
Jain, Mihir, Jan van Gemert, Thomas Mensink, & Cees G. M. Snoek. (2015). Objects2action: Classifying and Localizing Actions without Any Video Example. UvA-DARE (University of Amsterdam). 4588–4596. 69 indexed citations
9.
Jain, Mihir, Jan van Gemert, & Cees G. M. Snoek. (2015). What do 15,000 object categories tell us about classifying and localizing actions?. UvA-DARE (University of Amsterdam). 105 indexed citations
10.
Gemert, Jan van, et al.. (2015). APT: Action localization proposals from dense trajectories. UvA-DARE (University of Amsterdam). 177.1–177.12. 84 indexed citations
11.
Snoek, Cees G. M., Koen E. A. van de Sande, Daniel Fontijne, et al.. (2014). MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video. UvA-DARE (University of Amsterdam). 23 indexed citations
12.
Gemert, Jan van, et al.. (2014). Robustifying Descriptor Instability Using Fisher Vectors. IEEE Transactions on Image Processing. 23(12). 5698–5706. 2 indexed citations
13.
Karaoğlu, Sezer, Jan van Gemert, & Theo Gevers. (2013). Con-text. UvA-DARE (University of Amsterdam). 757–760. 13 indexed citations
14.
Gemert, Jan van, Cor J. Veenman, A.W.M. Smeulders, & Jan‐Mark Geusebroek. (2009). Visual Word Ambiguity. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(7). 1271–1283. 512 indexed citations breakdown →
15.
Snoek, Cees G. M., Marcel Worring, Jan van Gemert, Jan‐Mark Geusebroek, & A.W.M. Smeulders. (2006). The challenge problem for automated detection of 101 semantic concepts in multimedia. UvA-DARE (University of Amsterdam). 421–430. 401 indexed citations breakdown →
16.
Gemert, Jan van, Cees G. M. Snoek, Cor J. Veenman, & A.W.M. Smeulders. (2006). The influence of cross-validation on video classification performance. UvA-DARE (University of Amsterdam). 695–698. 1 indexed citations
17.
Snoek, Cees G. M., Jan van Gemert, Jan‐Mark Geusebroek, et al.. (2005). The MediaMill TRECVID 2005 Semantic Video Search Engine (Draft Version).. TRECVID.
18.
Snoek, Cees G. M., et al.. (2004). The MediaMill TRECVID 2004 Semantic Video Search Engine. UvA-DARE (University of Amsterdam). 84 indexed citations
19.
Wolf, Peter, Joseph Woelfel, Jan van Gemert, Bhiksha Raj, & David Y. Wong. (2004). Spokenquery: an alternate approach to chosing items with speech. 221–224. 4 indexed citations
20.
Geusebroek, Jan‐Mark, et al.. (2001). Searching for Images in Biomedical Publications. UvA-DARE (University of Amsterdam). 3 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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