Jacques Fayolle

84 total papers · 540 total citations
35 papers, 302 citations indexed

About

Jacques Fayolle is a scholar working on Media Technology, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Jacques Fayolle has authored 35 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Media Technology, 10 papers in Computer Networks and Communications and 8 papers in Sociology and Political Science. Recurrent topics in Jacques Fayolle's work include Experimental Learning in Engineering (10 papers), Multimedia Communication and Technology (4 papers) and Image and Signal Denoising Methods (4 papers). Jacques Fayolle is often cited by papers focused on Experimental Learning in Engineering (10 papers), Multimedia Communication and Technology (4 papers) and Image and Signal Denoising Methods (4 papers). Jacques Fayolle collaborates with scholars based in France, Tunisia and United Kingdom. Jacques Fayolle's co-authors include Christophe Gravier, Jérémy Lardon, Bernard Bayard, Christophe Ducottet, Martin J. O’Connor, Richard Chbeir, Viktor Fischer, Baha Eddine Youcef Belmekki, Miloš Drutarovský and Nicole Yankelovich and has published in prestigious journals such as IEEE Transactions on Signal Processing, Pattern Recognition and International Journal of Mineral Processing.

In The Last Decade

Jacques Fayolle

30 papers receiving 271 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jacques Fayolle	208	79	57	52	45	35	302
Christophe Gravier	204 1.0×	82 1.0×	57 1.0×	69 1.3×	64 1.4×	45	359
Andrew Maxwell	151 0.7×	56 0.7×	67 1.2×	62 1.2×	32 0.7×	55	306
Anh Vu Nguyen‐Ngoc	121 0.6×	81 1.0×	25 0.4×	145 2.8×	28 0.6×	20	329
Andreas Pester	155 0.7×	39 0.5×	31 0.5×	19 0.4×	27 0.6×	37	224
Karsten Henke	252 1.2×	55 0.7×	48 0.8×	50 1.0×	72 1.6×	52	347
Feng Zhou	181 0.9×	211 2.7×	16 0.3×	92 1.8×	77 1.7×	51	351
J.W. Bruce	50 0.2×	152 1.9×	37 0.6×	65 1.3×	12 0.3×	25	312
Danilo Garbi Zutin	200 1.0×	66 0.8×	57 1.0×	37 0.7×	50 1.1×	35	256
Randal Abler	49 0.2×	34 0.4×	41 0.7×	137 2.6×	51 1.1×	32	260
Keith J. O’Hara	50 0.2×	26 0.3×	19 0.3×	80 1.5×	53 1.2×	20	335

Countries citing papers authored by Jacques Fayolle

Since Specialization

Citations

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

Fields of papers citing papers by Jacques Fayolle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Fayolle

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

All Works

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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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