Timothée Cour

2.7k total citations
12 papers, 1.3k citations indexed

About

Timothée Cour is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Timothée Cour has authored 12 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Timothée Cour's work include Advanced Image and Video Retrieval Techniques (8 papers), Image Retrieval and Classification Techniques (5 papers) and Face and Expression Recognition (3 papers). Timothée Cour is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Image Retrieval and Classification Techniques (5 papers) and Face and Expression Recognition (3 papers). Timothée Cour collaborates with scholars based in United States, France and China. Timothée Cour's co-authors include Jianbo Shi, Florence Bénézit, Ben Taskar, Shenghuo Zhu, Kai Yu, Ming Yang, Ben Sapp, Thomas S. Huang, Shuicheng Yan and Liangliang Cao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Machine Learning Research and 2009 IEEE Conference on Computer Vision and Pattern Recognition.

In The Last Decade

Timothée Cour

11 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timothée Cour United States	10	1.0k	392	205	75	72	12	1.3k
Xinge You China	21	907 0.9×	355 0.9×	254 1.2×	119 1.6×	110 1.5×	52	1.3k
Baozong Yuan China	12	866 0.8×	237 0.6×	148 0.7×	162 2.2×	111 1.5×	120	1.2k
Christopher R. Dance France	10	1.1k 1.0×	374 1.0×	199 1.0×	61 0.8×	149 2.1×	28	1.4k
Matthieu Guillaumin Switzerland	14	1.8k 1.7×	697 1.8×	182 0.9×	154 2.1×	64 0.9×	22	2.1k
Yibing Zhan China	22	1.0k 1.0×	628 1.6×	230 1.1×	38 0.5×	63 0.9×	105	1.6k
Vassilios Chatzis Greece	8	794 0.8×	248 0.6×	493 2.4×	91 1.2×	57 0.8×	29	1.2k
Harish Bhaskar United Arab Emirates	16	649 0.6×	307 0.8×	178 0.9×	51 0.7×	64 0.9×	62	929
Hakan Çevıkalp Türkiye	17	768 0.7×	327 0.8×	150 0.7×	182 2.4×	52 0.7×	65	1.1k

Countries citing papers authored by Timothée Cour

Since Specialization

Citations

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

Fields of papers citing papers by Timothée Cour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothée Cour

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

All Works

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12 of 12 papers shown

Zhang, Shaoting, Ming Yang, Timothée Cour, Kai Yu, & Dimitris Metaxas. (2014). Query Specific Rank Fusion for Image Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(4). 803–815. 119 indexed citations

Cour, Timothée, Ben Sapp, & Ben Taskar. (2011). Learning from Partial Labels. Journal of Machine Learning Research. 12(42). 1501–1536. 124 indexed citations

Wang, Xiaoyu, et al.. (2011). Contextual weighting for vocabulary tree based image retrieval. 209–216. 141 indexed citations

Lin, Yuanqing, Fengjun Lv, Shenghuo Zhu, et al.. (2011). Large-scale image classification: Fast feature extraction and SVM training. 1689–1696. 291 indexed citations

Cour, Timothée, et al.. (2010). Talking pictures: Temporal grouping and dialog-supervised person recognition. 1014–1021. 33 indexed citations

Cour, Timothée, Benjamin Sapp, Chris Jordan, & Ben Taskar. (2009). Learning from ambiguously labeled images. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 919–926. 105 indexed citations

Cour, Timothée. (2008). Convex Relaxations for Markov Random Field MAP estimation. 1 indexed citations

Cour, Timothée & Jianbo Shi. (2007). Solving Markov Random Fields with Spectral Relaxation. ScholarlyCommons (University of Pennsylvania). 75–82. 31 indexed citations

Cour, Timothée & Jianbo Shi. (2007). Recognizing objects by piecing together the Segmentation Puzzle. 1–8. 48 indexed citations

10.

Shi, Jianbo, et al.. (2005). Learning Spectral Graph Segmentation. International Conference on Artificial Intelligence and Statistics. 20 indexed citations

11.

Cour, Timothée, Florence Bénézit, & Jianbo Shi. (2005). Spectral Segmentation with Multiscale Graph Decomposition. 2. 1124–1131. 384 indexed citations

12.

Cour, Timothée & Jianbo Shi. (2004). A Learnable Spectral Memory Graph for Recognition and Segmentation. ScholarlyCommons (University of Pennsylvania). 1 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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