Frédéric Ros

1.0k total citations
56 papers, 627 citations indexed

About

Frédéric Ros is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Frédéric Ros has authored 56 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 12 papers in Biomedical Engineering. Recurrent topics in Frédéric Ros's work include Advanced Clustering Algorithms Research (12 papers), Advanced Chemical Sensor Technologies (11 papers) and Advanced Steganography and Watermarking Techniques (11 papers). Frédéric Ros is often cited by papers focused on Advanced Clustering Algorithms Research (12 papers), Advanced Chemical Sensor Technologies (11 papers) and Advanced Steganography and Watermarking Techniques (11 papers). Frédéric Ros collaborates with scholars based in France, Morocco and Algeria. Frédéric Ros's co-authors include Serge Guillaume, Rabia Riad, Jacques R. Chrétien, Marco Pintore, Djamel Chikouche, Rachid Harba, Mohamed El Hajji, Hassan Douzi, Karine Audouze and Gilles Rabatel and has published in prestigious journals such as Expert Systems with Applications, Sensors and Information Sciences.

In The Last Decade

Frédéric Ros

48 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frédéric Ros France	17	291	187	104	76	62	56	627
Simon Günter Switzerland	12	386 1.3×	309 1.7×	114 1.1×	45 0.6×	33 0.5×	18	712
Jun Huan United States	16	277 1.0×	127 0.7×	53 0.5×	166 2.2×	56 0.9×	53	694
Fardin Akhlaghian Tab Iran	17	323 1.1×	308 1.6×	38 0.4×	37 0.5×	63 1.0×	51	892
Shengjie Luo Taiwan	11	150 0.5×	260 1.4×	47 0.5×	59 0.8×	45 0.7×	24	593
Michael Laszlo United States	9	345 1.2×	155 0.8×	102 1.0×	58 0.8×	23 0.4×	21	637
Carlos Alzate Belgium	15	336 1.2×	280 1.5×	104 1.0×	15 0.2×	77 1.2×	36	809
Răzvan Andonie United States	14	313 1.1×	103 0.6×	83 0.8×	62 0.8×	26 0.4×	76	676
Xingwang Zhao China	12	393 1.4×	159 0.9×	76 0.7×	77 1.0×	94 1.5×	23	776
Ryohei Fujimaki Japan	12	310 1.1×	73 0.4×	87 0.8×	20 0.3×	42 0.7×	40	505

Countries citing papers authored by Frédéric Ros

Since Specialization

Citations

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

Fields of papers citing papers by Frédéric Ros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Ros

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

Ros, Frédéric & Rabia Riad. (2024). DLCS: A deep learning-based Clustering solution without any clustering algorithm, Utopia?. Knowledge-Based Systems. 296. 111834–111834.

Ros, Frédéric, Rabia Riad, & Serge Guillaume. (2024). Deep clustering framework review using multicriteria evaluation. Knowledge-Based Systems. 285. 111315–111315. 5 indexed citations

Vrain, Christel, et al.. (2024). Dataset for image classification with knowledge. Data in Brief. 57. 110893–110893.

Ros, Frédéric & Rabia Riad. (2023). Feature and Dimensionality Reduction for Clustering with Deep Learning. 3 indexed citations

Ros, Frédéric, et al.. (2022). Fourier Image Watermarking: Print-Cam Application. Electronics. 11(2). 266–266. 5 indexed citations

Ros, Frédéric, Serge Guillaume, & Rabia Riad. (2022). Path-scan: A novel clustering algorithm based on core points and connexity. Expert Systems with Applications. 210. 118316–118316. 2 indexed citations

Ros, Frédéric, Serge Guillaume, Rabia Riad, & Mohamed El Hajji. (2022). Detection of natural clusters via S-DBSCAN a Self-tuning version of DBSCAN. Knowledge-Based Systems. 241. 108288–108288. 16 indexed citations

Riad, Rabia, et al.. (2022). Image Watermarking between Conventional and Learning-Based Techniques: A Literature Review. Electronics. 12(1). 74–74. 14 indexed citations

Riad, Rabia, Frédéric Ros, Mohamed El Hajji, & Rachid Harba. (2022). An industrial portrait background removal solution based on knowledge infusion. Applied Intelligence. 52(10). 11592–11605. 3 indexed citations

10.

Riad, Rabia, et al.. (2022). A preventive and curative watermarking scheme for an industrial solution. Multimedia Tools and Applications. 82(1). 651–679. 4 indexed citations

11.

Ros, Frédéric & Serge Guillaume. (2018). ProTraS: A probabilistic traversing sampling algorithm. Expert Systems with Applications. 105. 65–76. 18 indexed citations

12.

Douzi, Hassan, et al.. (2018). A zero-bit Fourier image watermarking for print-cam process. Multimedia Tools and Applications. 78(2). 2621–2638. 21 indexed citations

13.

Ros, Frédéric, Rachid Harba, Marco Pintore, & Serge Guillaume. (2015). A fast and flexible instance selection algorithm adapted to non-trivial database sizes. Intelligent Data Analysis. 19(3). 631–658. 1 indexed citations

14.

Ros, Frédéric, et al.. (2014). An efficient hybrid genetic algorithm to design finite impulse response filters. Expert Systems with Applications. 41(13). 5917–5937. 35 indexed citations

15.

Ros, Frédéric. (2008). Automatic and real-time inspection system for smart card module inspection. Journal of Electronic Imaging. 17(1). 13018–13018.

16.

Ros, Frédéric, et al.. (2006). An Industrial Watermarking Process for Plastic Card Supports. 2809–2814. 6 indexed citations

17.

Ros, Frédéric, Olivier Taboureau, Marco Pintore, & Jacques R. Chrétien. (2003). Development of predictive models by adaptive fuzzy partitioning. Application to compounds active on the central nervous system. Chemometrics and Intelligent Laboratory Systems. 67(1). 29–50. 10 indexed citations

18.

Ros, Frédéric, Karine Audouze, Marco Pintore, & Jacques R. Chrétien. (2000). Hybrid Systems for Virtual Screening: Interest of Fuzzy Clustering Applied to Olfaction. SAR and QSAR in environmental research. 11(3-4). 281–300. 12 indexed citations

19.

Chrétien, Jacques R., et al.. (1998). Application of Kohonen Neural Networks in Classification of Biologically Active Compounds. SAR and QSAR in environmental research. 8(1-2). 93–107. 16 indexed citations

20.

Ros, Frédéric, Serge Guillaume, Gilles Rabatel, & Francis Sévila. (1995). Recognition of overlapping particles in granular product images using statistics and neural networks. Food Control. 6(1). 37–43. 14 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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