Olivier Colot

1.4k total citations
48 papers, 877 citations indexed

About

Olivier Colot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Olivier Colot has authored 48 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 12 papers in Management Science and Operations Research. Recurrent topics in Olivier Colot's work include Multi-Criteria Decision Making (12 papers), Bayesian Modeling and Causal Inference (10 papers) and Medical Image Segmentation Techniques (9 papers). Olivier Colot is often cited by papers focused on Multi-Criteria Decision Making (12 papers), Bayesian Modeling and Causal Inference (10 papers) and Medical Image Segmentation Techniques (9 papers). Olivier Colot collaborates with scholars based in France, Cameroon and Algeria. Olivier Colot's co-authors include P. Vannoorenberghe, Éric Lefèvre, André Bigand, Nacim Betrouni, N. Makni, John Klein, C. Fernández‐Maloigne, Philippe Puech, Mohamed Daoudi and Jean‐Philippe Vandeborre and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Olivier Colot

45 papers receiving 822 citations

Peers

Olivier Colot

CVPR

MSOR

CTM

Ningbo Zhu China

K. Thangavel India

Cătălin Stoean Romania

Ruxandra Stoean Romania

Swarup Medasani United States

Quan Wen China

Raghu Krisnapuram United States

Jianfeng Xu China

Aaron Klein Germany

Hongyun Zhang China

Ningbo Zhu China

Olivier Colot

397 ×1.1

358 ×1.2

CVPR

68 ×0.3

MSOR

114 ×0.8

CTM

45 ×0.6

Citations per year, relative to Olivier Colot Olivier Colot (= 1×) peers Ningbo Zhu

Countries citing papers authored by Olivier Colot

Since Specialization

Citations

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

Fields of papers citing papers by Olivier Colot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivier Colot

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

All Works

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20 of 20 papers shown

Pasquier, Dominique, Alexandre Escande, Emmanuelle Tresch, et al.. (2018). Diffusion weighted MRI as an early predictor of tumor response to hypofractionated stereotactic boost for prostate cancer. Scientific Reports. 8(1). 10407–10407. 20 indexed citations

Klein, John, Sébastien Destercke, & Olivier Colot. (2017). Idempotent conjunctive and disjunctive combination of belief functions by distance minimization. International Journal of Approximate Reasoning. 92. 32–48. 9 indexed citations

Klein, John, Sébastien Destercke, & Olivier Colot. (2016). Interpreting evidential distances by connecting them to partial orders: Application to belief function approximation. International Journal of Approximate Reasoning. 71. 15–33. 11 indexed citations

Klein, John, et al.. (2014). New distances between bodies of evidence based on Dempsterian specialization matrices and their consistency with the conjunctive combination rule. International Journal of Approximate Reasoning. 55(5). 1093–1112. 15 indexed citations

Makni, N., Nacim Betrouni, & Olivier Colot. (2012). Introducing spatial neighbourhood in Evidential C-Means for segmentation of multi-source images: Application to prostate multi-parametric MRI. Information Fusion. 19. 61–72. 26 indexed citations

Klein, John & Olivier Colot. (2011). Singular sources mining using evidential conflict analysis. International Journal of Approximate Reasoning. 52(9). 1433–1451. 10 indexed citations

Makni, N., et al.. (2010). A non rigid registration and deformation algorithm for ultrasound & MR images to guide prostate cancer therapies. PubMed. 2010. 3711–3714. 3 indexed citations

Tabia, Hedi, Mohamed Daoudi, Jean‐Philippe Vandeborre, & Olivier Colot. (2010). A New 3D-Matching Method of Nonrigid and Partially Similar Models Using Curve Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(4). 852–858. 52 indexed citations

Makni, N., et al.. (2008). Combining a deformable model and a probabilistic framework for an automatic 3D segmentation of prostate on MRI. International Journal of Computer Assisted Radiology and Surgery. 4(2). 181–188. 51 indexed citations

10.

Makni, N., Philippe Puech, Renaud Lopes, et al.. (2008). Automatic 3D segmentation of prostate in MRI combining a priori knowledge, Markov fields and Bayesian framework. PubMed. 2008. 2992–2995. 5 indexed citations

11.

Bigand, André, et al.. (2006). Color Image Segmentation using Type-2 Fuzzy Sets. 52–57. 8 indexed citations

12.

Colot, Olivier, et al.. (2005). An efficient joint source channel coding scheme for image transmission through the ionospheric channel. HAL (Le Centre pour la Communication Scientifique Directe).

13.

Megherbi, Najla, et al.. (2005). Multimodal data association based on the use of belief functions for multiple target tracking. 7 pp.–7 pp.. 9 indexed citations

14.

Trémeau, Alain, Christine Fernández-Maloigne, Olivier Colot, et al.. (2004). Image Numérique Couleur : de l'acquisition au traitement. SPIRE - Sciences Po Institutional REpository. 1 indexed citations

15.

Lefèvre, Éric, Olivier Colot, & P. Vannoorenberghe. (2003). Reply to the Comments of R. Haenni on the paper “Belief functions combination and conflict management”. Information Fusion. 4(1). 63–65. 6 indexed citations

16.

Fernández‐Maloigne, C., et al.. (2003). Introduction of spatial information within the context of evidence theory. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 2. II–785. 4 indexed citations

17.

Olivier, C, et al.. (2002). Information criteria for modelling and identification. 3. 1813–1818. 1 indexed citations

18.

Lefèvre, Eckard, et al.. (2000). 1 - Contribution des mesures d'information à la modélisation crédibiliste de connaissances. Traitement du signal. 17(2). 87–97. 5 indexed citations

19.

Lefèvre, Éric, et al.. (2000). A generic framework for resolving the conflict in the combination of belief structures. MOD4/11–MOD4/18 vol.1. 26 indexed citations

20.

Lefèvre, Éric, P. Vannoorenberghe, & Olivier Colot. (1999). Using information criteria in Dempster-Shafer's basic belief assignment. 1496. 173–178 vol.1. 7 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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