Th. Gevers

2.9k total citations · 1 hit paper
44 papers, 1.9k citations indexed

About

Th. Gevers is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology. According to data from OpenAlex, Th. Gevers has authored 44 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 12 papers in Atomic and Molecular Physics, and Optics and 10 papers in Media Technology. Recurrent topics in Th. Gevers's work include Image Retrieval and Classification Techniques (23 papers), Advanced Image and Video Retrieval Techniques (21 papers) and Color Science and Applications (12 papers). Th. Gevers is often cited by papers focused on Image Retrieval and Classification Techniques (23 papers), Advanced Image and Video Retrieval Techniques (21 papers) and Color Science and Applications (12 papers). Th. Gevers collaborates with scholars based in Netherlands, Italy and United States. Th. Gevers's co-authors include Cees G. M. Snoek, Koen E. A. van de Sande, Roberto Valenti, Nicu Sebe, H.M.G. Stokman, A.W.M. Smeulders, Joost van de Weijer, Ioannis Patras, A. Diplaros and Jan J. Koenderink and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Th. Gevers

40 papers receiving 1.8k citations

Hit 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, Th. Gevers et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Th. Gevers Netherlands	14	1.6k	320	224	212	199	44	1.9k
Xiaowu Chen China	28	1.6k 1.0×	191 0.6×	145 0.6×	202 1.0×	143 0.7×	106	2.2k
Oksam Chae South Korea	17	2.2k 1.4×	605 1.9×	155 0.7×	46 0.2×	70 0.4×	45	2.5k
Gareth Loy Australia	14	794 0.5×	235 0.7×	125 0.6×	99 0.5×	131 0.7×	25	1.2k
Kaihao Zhang China	23	1.9k 1.2×	617 1.9×	125 0.6×	82 0.4×	86 0.4×	63	2.2k
Jian-Gang Wang Singapore	19	758 0.5×	115 0.4×	135 0.6×	50 0.2×	159 0.8×	71	1.3k
Chunxia Xiao China	27	2.0k 1.2×	397 1.2×	171 0.8×	300 1.4×	34 0.2×	149	2.6k
Francisco Estrada Switzerland	4	3.0k 1.9×	522 1.6×	80 0.4×	284 1.3×	250 1.3×	4	3.2k
Md. Hasanul Kabir Bangladesh	15	1.5k 1.0×	541 1.7×	146 0.7×	44 0.2×	45 0.2×	54	1.9k
Doug DeCarlo United States	23	2.0k 1.3×	86 0.3×	77 0.3×	105 0.5×	305 1.5×	35	2.7k
Anton Kaplanyan Germany	19	1.3k 0.8×	198 0.6×	38 0.2×	33 0.2×	269 1.4×	41	1.6k

Countries citing papers authored by Th. Gevers

Since Specialization

Citations

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

Fields of papers citing papers by Th. Gevers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Th. Gevers

This figure shows the co-authorship network connecting the top 25 collaborators of Th. Gevers. A scholar is included among the top collaborators of Th. Gevers 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 Th. Gevers. Th. Gevers 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

1.

Gemert, Jan van, et al.. (2014). Evaluation of Spatio-Temporal Color Interest Points for Human Action Recognition. 4(23). 1569–1580. 1 indexed citations

2.

Valenti, Roberto, Nicu Sebe, & Th. Gevers. (2011). Combining Head Pose and Eye Location Information for Gaze Estimation. IEEE Transactions on Image Processing. 21(2). 802–815. 236 indexed citations

3.

Sande, Koen E. A. van de, Th. Gevers, & Cees G. M. Snoek. (2009). Evaluating Color Descriptors for Object and Scene Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(9). 1582–1596. 1192 indexed citations breakdown →

4.

Valenti, Roberto, Zeynep Yücel, & Th. Gevers. (2009). Robustifying eye center localization by head pose cues. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 2 indexed citations

5.

Valenti, Roberto, Nicu Sebe, & Th. Gevers. (2007). Facial Feature Detection using a Virtual Structuring Element. UvA-DARE (University of Amsterdam). 1 indexed citations

6.

Gevers, Th., et al.. (2006). Color Feature Detection: An Overview. UvA-DARE (University of Amsterdam). 16 indexed citations

7.

Diplaros, A., Th. Gevers, & Ioannis Patras. (2005). Combining color and shape information for illumination-viewpoint invariant object recognition. IEEE Transactions on Image Processing. 15(1). 1–11. 57 indexed citations

8.

Weijer, Joost van de & Th. Gevers. (2004). Tensor Based Feature Detection for Color Images. Color and Imaging Conference. 12(1). 100–105. 11 indexed citations

9.

Diplaros, A., Th. Gevers, & Ioannis Patras. (2003). Color-Shape Context for Object Recognition. UvA-DARE (University of Amsterdam). 11 indexed citations

10.

Gevers, Th. & H.M.G. Stokman. (2003). Robust Photometric Invariant Region Detection in Multispectral Images. International Journal of Computer Vision. 53(2). 135–151. 5 indexed citations

11.

Gevers, Th. & A.W.M. Smeulders. (2003). Sigma nigma: an image retrieval system. 697–700.

12.

Geusebroek, Jan‐Mark, D.C. Koelma, A.W.M. Smeulders, & Th. Gevers. (2002). Image retrieval and segmentation based on color invariants. 2. 784–785.

13.

Gevers, Th.. (2002). Robust histogram construction from color invariants. 1. 615–620. 24 indexed citations

14.

Gevers, Th. & H.M.G. Stokman. (1999). Reflectance Based Edge Classification. UvA-DARE (University of Amsterdam). 5 indexed citations

15.

Stokman, H.M.G. & Th. Gevers. (1999). Photometric Invariant Region Detection in Multi-Spectral Images. UvA-DARE (University of Amsterdam). 90–96. 2 indexed citations

16.

Stokman, H.M.G. & Th. Gevers. (1998). Color measurement of printed textile using CCD cameras. UvA-DARE (University of Amsterdam). 2 indexed citations

17.

Gevers, Th. & A.W.M. Smeulders. (1997). Object recognition based on photometric color invariants. UvA-DARE (University of Amsterdam). 861–869. 6 indexed citations

18.

Gevers, Th. & A.W.M. Smeulders. (1996). Color-metric pattern-card matching for viewpoint invariant image retrieval. UvA-DARE (University of Amsterdam). 2. 3–7 vol.3. 3 indexed citations

19.

Gevers, Th. & A.W.M. Smeulders. (1995). Evaluating color and shape invariant image indexing for consumer photography. UvA-DARE (University of Amsterdam). 293–302. 4 indexed citations

20.

Gevers, Th. & A.W.M. Smeulders. (1991). Indexing of Images by Pictorial Information. UvA-DARE (University of Amsterdam). 93–100. 5 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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