Cees G. M. Snoek

15.6k total citations · 5 hit papers
209 papers, 8.3k citations indexed

About

Cees G. M. Snoek is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Cees G. M. Snoek has authored 209 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Computer Vision and Pattern Recognition, 60 papers in Artificial Intelligence and 20 papers in Signal Processing. Recurrent topics in Cees G. M. Snoek's work include Advanced Image and Video Retrieval Techniques (95 papers), Video Analysis and Summarization (87 papers) and Image Retrieval and Classification Techniques (74 papers). Cees G. M. Snoek is often cited by papers focused on Advanced Image and Video Retrieval Techniques (95 papers), Video Analysis and Summarization (87 papers) and Image Retrieval and Classification Techniques (74 papers). Cees G. M. Snoek collaborates with scholars based in Netherlands, China and United States. Cees G. M. Snoek's co-authors include Marcel Worring, Koen E. A. van de Sande, A.W.M. Smeulders, Th. Gevers, Xirong Li, Jan van Gemert, Efstratios Gavves, Mihir Jain, Thomas Mensink and Jan‐Mark Geusebroek and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Environmental Pollution and ACM Computing Surveys.

In The Last Decade

Cees G. M. Snoek

198 papers receiving 7.9k citations

Hit Papers

5 papers align trajectories

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.

Evaluating Color Descriptors for Object and Scene Recognition

2009 1.2k citations Koen E. A. van de Sande, Cees G. M. Snoek et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Early versus late fusion in semantic video analysis

2005 562 citations Cees G. M. Snoek, Marcel Worring et al. profile →
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 →
VideoLSTM convolves, attends and flows for action recognition

2017 313 citations Efstratios Gavves, Mihir Jain et al. profile →
Proceedings of the 2016 ACM on Multimedia Conference

2016 237 citations Cees G. M. Snoek, Marcel Worring et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cees G. M. Snoek Netherlands	43	7.1k	2.5k	716	529	348	209	8.3k
Chong‐Wah Ngo Hong Kong	47	6.2k 0.9×	1.9k 0.7×	930 1.3×	385 0.7×	281 0.8×	254	7.4k
Marcel Worring Netherlands	34	8.3k 1.2×	2.0k 0.8×	1.0k 1.4×	868 1.6×	177 0.5×	256	9.9k
Yang Yang China	53	7.4k 1.1×	4.3k 1.7×	576 0.8×	517 1.0×	274 0.8×	499	10.9k
Ming Yang United States	36	5.9k 0.8×	1.6k 0.6×	1.3k 1.8×	448 0.8×	421 1.2×	112	7.5k
Anastasios Tefas Greece	39	4.1k 0.6×	2.8k 1.1×	828 1.2×	394 0.7×	274 0.8×	399	6.9k
Jianping Fan China	38	3.6k 0.5×	2.0k 0.8×	526 0.7×	602 1.1×	210 0.6×	275	5.5k
Jingkuan Song China	47	7.2k 1.0×	3.5k 1.4×	415 0.6×	451 0.9×	303 0.9×	224	9.0k
Ling‐Yu Duan China	47	6.8k 1.0×	2.0k 0.8×	836 1.2×	747 1.4×	384 1.1×	241	7.8k
Cha Zhang United States	39	4.1k 0.6×	1.4k 0.6×	1.5k 2.1×	382 0.7×	244 0.7×	124	6.6k
David Doermann United States	46	8.1k 1.1×	2.0k 0.8×	672 0.9×	2.4k 4.5×	373 1.1×	261	9.3k

Countries citing papers authored by Cees G. M. Snoek

Since Specialization

Citations

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

Fields of papers citing papers by Cees G. M. Snoek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cees G. M. Snoek. 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 Cees G. M. Snoek. The network helps show where Cees G. M. Snoek may publish in the future.

Co-authorship network of co-authors of Cees G. M. Snoek

This figure shows the co-authorship network connecting the top 25 collaborators of Cees G. M. Snoek. A scholar is included among the top collaborators of Cees G. M. Snoek 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 Cees G. M. Snoek. Cees G. M. Snoek 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

Jong, Edwin D. de, Hugo M. Horlings, Clarisa Sánchez, et al.. (2025). Foundation Models in Medical Imaging: A Review and Outlook. ArXiv.org.

Tapaswi, Makarand, et al.. (2025). The Sound of Water: Inferring Physical Properties from Pouring Liquids. 1–5. 1 indexed citations

Snoek, Cees G. M., et al.. (2025). Bridging the gap: exposing the hidden challenges towards adoption of artificial intelligence in surgery. British journal of surgery. 112(11).

Shi, Zenglin, Pascal Mettes, & Cees G. M. Snoek. (2024). Focus for Free in Density-Based Counting. International Journal of Computer Vision. 132(7). 2600–2617. 7 indexed citations

Liu, Jie, et al.. (2023). Memory-augmented Variational Adaptation for Online Few-shot Segmentation. 34. 3316–3325. 2 indexed citations

Du, Yingjun, Haoliang Sun, Xiantong Zhen, et al.. (2022). MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(3). 1464–1478. 6 indexed citations

Zhao, Jiaojiao, Yanyi Zhang, Xinyu Li, et al.. (2022). TubeR: Tubelet Transformer for Video Action Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13588–13597. 53 indexed citations

Bernasco, Wim, Evelien M. Hoeben, D.C. Koelma, et al.. (2022). Promise Into Practice: Application of Computer Vision in Empirical Research on Social Distancing. Sociological Methods & Research. 52(3). 1239–1287. 12 indexed citations

Snoek, Cees G. M., Jianfeng Dong, Xun Li, & Qiang Wei. (2016). University of Amsterdam and Renmin University at TRECVID 2016: Searching Video, Detecting Events and Describing Video. UvA-DARE (University of Amsterdam). 5 indexed citations

10.

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

11.

Nagel, Markus, Thomas Mensink, & Cees G. M. Snoek. (2015). Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams. UvA-DARE (University of Amsterdam). 178.1–178.12. 19 indexed citations

12.

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

13.

Snoek, Cees G. M., et al.. (2008). MediaMill: fast and effective video search using the forkbrowser. Environmental Pollution. 1 indexed citations

14.

Snoek, Cees G. M., et al.. (2007). MediaMill: Semantic Video Browsing using the RotorBrowser. UvA-DARE (University of Amsterdam). 649–649. 3 indexed citations

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.

Snoek, Cees G. M., Marcel Worring, Jan‐Mark Geusebroek, D.C. Koelma, & F.J. Seinstra. (2005). NIST Special Publication. UvA-DARE (University of Amsterdam). 205 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.

Patras, Ioannis, et al.. (2002). TREC Feature Extraction by Active Learning. UvA-DARE (University of Amsterdam). 1 indexed citations

20.

Snoek, Cees G. M., et al.. (1984). Lifetime measurements in the neutral thulium spectrum using a pulsed dye laser. 133(2). 605–624. 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.

Explore authors with similar magnitude of impact