Pierre Fernandez

42 total papers · 1.5k total citations
8 papers, 105 citations indexed

About

Pierre Fernandez is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Pierre Fernandez has authored 8 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 1 paper in Artificial Intelligence. Recurrent topics in Pierre Fernandez's work include Advanced Steganography and Watermarking Techniques (5 papers), Digital Media Forensic Detection (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Pierre Fernandez is often cited by papers focused on Advanced Steganography and Watermarking Techniques (5 papers), Digital Media Forensic Detection (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Pierre Fernandez collaborates with scholars based in France, Brazil and United States. Pierre Fernandez's co-authors include Teddy Furon, Matthijs Douze, Hervé Jeǵou, Guillaume Couairon, Alexandre Sablayrolles, Mônica Santos Salgado, Antoine Chaffin, Slava Voloshynovskiy, Antoine Deleforge and Yossi Adi and has published in prestigious journals such as SHILAP Revista de lepidopterología and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Pierre Fernandez

5 papers receiving 100 citations

Author Peers

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

Author						Papers	Cites
Pierre Fernandez	73	21	10	9	8	8	105
Ping Luo	54 0.7×	46 2.2×	5 0.5×	3 0.3×	13 1.6×	10	119
Antonio Rosa	42 0.6×	12 0.6×	4 0.4×	1 0.1×	4 0.5×	8	90
Omer Bar-Tal	84 1.2×	14 0.7×	23 2.3×	2 0.2×	14 1.8×	6	108
Taihong Xiao	91 1.2×	43 2.0×	4 0.4×	1 0.1×	7 0.9×	6	117
Haoxin Chen	187 2.6×	70 3.3×	10 1.0×	4 0.4×	12 1.5×	11	221
Taras Khakhulin	109 1.5×	80 3.8×	55 5.5×	2 0.2×	9 1.1×	9	217
Guojun Yin	126 1.7×	30 1.4×	7 0.7×		16 2.0×	8	136
Debayan Deb	78 1.1×	17 0.8×	8 0.8×		20 2.5×	6	105
Yunsheng Wu	95 1.3×	28 1.3×	3 0.3×		10 1.3×	11	106
Francis Dutil	72 1.0×	82 3.9×	3 0.3×	1 0.1×	6 0.8×	9	124

Countries citing papers authored by Pierre Fernandez

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Fernandez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Fernandez

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