Lionel Prévost

927 total citations
31 papers, 436 citations indexed

About

Lionel Prévost is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Lionel Prévost has authored 31 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Lionel Prévost's work include Handwritten Text Recognition Techniques (16 papers), Face and Expression Recognition (8 papers) and Face recognition and analysis (7 papers). Lionel Prévost is often cited by papers focused on Handwritten Text Recognition Techniques (16 papers), Face and Expression Recognition (8 papers) and Face recognition and analysis (7 papers). Lionel Prévost collaborates with scholars based in France, Guadeloupe and Jamaica. Lionel Prévost's co-authors include Muhammad Shehzad Hanif, Pablo Negri, Maurice Milgram, Xavier Clady, Thibaud Sénéchal, Kévin Bailly, Hanan Salam, Renaud Séguier, Rachid Belaroussi and Laurent Collot and has published in prestigious journals such as Pattern Recognition Letters, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Image and Vision Computing.

In The Last Decade

Lionel Prévost

29 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lionel Prévost France	11	380	90	87	82	43	31	436
Dipan K. Pal United States	8	338 0.9×	34 0.4×	70 0.8×	20 0.2×	45 1.0×	12	435
Vishal Chudasama India	9	211 0.6×	102 1.1×	76 0.9×	59 0.7×	19 0.4×	23	325
Shinji Ozawa Japan	11	214 0.6×	18 0.2×	55 0.6×	23 0.3×	33 0.8×	83	319
A. Belén Moreno Spain	8	235 0.6×	34 0.4×	46 0.5×	34 0.4×	4 0.1×	21	327
Ruize Han China	13	410 1.1×	22 0.2×	55 0.6×	76 0.9×	5 0.1×	28	478
Shalini Bhatia India	8	317 0.8×	46 0.5×	68 0.8×	24 0.3×	4 0.1×	20	416
Nathaniel Bird United States	10	215 0.6×	22 0.2×	68 0.8×	13 0.2×	33 0.8×	15	337
Elisa Sayrol Spain	7	319 0.8×	44 0.5×	30 0.3×	12 0.1×	6 0.1×	25	400
Hou-Ning Hu Taiwan	6	430 1.1×	34 0.4×	33 0.4×	8 0.1×	78 1.8×	8	484
Haisong Gu United States	8	163 0.4×	13 0.1×	22 0.3×	110 1.3×	45 1.0×	16	277

Countries citing papers authored by Lionel Prévost

Since Specialization

Citations

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

Fields of papers citing papers by Lionel Prévost

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lionel Prévost

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

Prévost, Lionel, et al.. (2025). Semantic Retention and Extreme Compression in LLMs: Can We Have Both?. 1–9. 1 indexed citations

Assaghir, Zainab, et al.. (2025). Enhancing AI-Driven Education: Integrating Cognitive Frameworks, Linguistic Feedback Analysis, and Ethical Considerations for Improved Content Generation. 1–7. 1 indexed citations

Negri, Pablo, Xavier Clady, & Lionel Prévost. (2017). BENCHMARKING HAAR AND HISTOGRAMS OF ORIENTED GRADIENTS FEATURES APPLIED TO VEHICLE DETECTION. 359–364.

Bailly, Kévin, et al.. (2013). Multi-Kernel Appearance Model. Image and Vision Computing. 31(8). 542–554. 2 indexed citations

Sénéchal, Thibaud, et al.. (2012). Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 42(4). 993–1005. 89 indexed citations

Collot, Laurent, et al.. (2011). A robust composite metric for head pose tracking using an accurate face model. 694–699. 2 indexed citations

Hanif, Muhammad Shehzad, Lionel Prévost, & Pablo Negri. (2008). A cascade detector for text detection in natural scene images. Proceedings - International Conference on Pattern Recognition. 1–4. 26 indexed citations

Hanif, Muhammad Shehzad, Lionel Prévost, Rachid Belaroussi, & Maurice Milgram. (2007). Real-time facial feature localization by combining space displacement neural networks. Pattern Recognition Letters. 29(8). 1094–1104. 6 indexed citations

Negri, Pablo, Xavier Clady, & Lionel Prévost. (2007). BENCHMARKING HAAR AND HISTOGRAMS OF ORIENTED GRADIENTS FEATURES APPLIED TO VEHICLE DETECTION. 359–364. 18 indexed citations

10.

Hanif, Muhammad Shehzad & Lionel Prévost. (2007). Texture based Text Detection in Natural Scene Images - A Help to Blind and Visually Impaired Persons.. 11 indexed citations

11.

Belaroussi, Rachid, Lionel Prévost, & Maurice Milgram. (2006). Fusion Algorithms for Face Localization.. 1. 35–51. 1 indexed citations

12.

Belaroussi, Rachid, Lionel Prévost, & Maurice Milgram. (2005). Combining model-based classifiers for face localization.. Machine Vision and Applications. 290–293. 4 indexed citations

13.

Prévost, Lionel, et al.. (2005). Fusion d'informations et adaptation pour la reconnaissance de textes manuscrits dynamiques. Traitement du signal. 22(3). 239–248. 1 indexed citations

14.

Prévost, Lionel, et al.. (2005). Hybrid generative/discriminative classifier for unconstrained character recognition. Pattern Recognition Letters. 26(12). 1840–1848. 17 indexed citations

15.

Milgram, Maurice, Lionel Prévost, & Rachid Belaroussi. (2005). Une nouvelle transformation pour la localisation des yeux dans une image de visage monochrome.

16.

Prévost, Lionel, et al.. (2005). Self-supervised adaptation for on-line script text recognition. ELCVIA Electronic Letters on Computer Vision and Image Analysis. 5(2). 87–97. 11 indexed citations

17.

Prévost, Lionel, et al.. (2004). Un modèle d'activation vérification pour la lecture de textes manuscrits dynamiques. 2 indexed citations

18.

Prévost, Lionel, et al.. (2004). Techniques d'adaptation au scripteur pour la lecture de textes manuscrits dynamiques. 1 indexed citations

19.

Prévost, Lionel, et al.. (2004). Self-Supervised Adaptation for On-Line Text Recognition. 1. 9–13. 2 indexed citations

20.

Prévost, Lionel & Maurice Milgram. (2002). Static and dynamic classifier fusion for character recognition. 2. 499–506. 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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