Frédéric Lefèbvre

749 citations
35 papers · 660 · h-index 11

Impact in

Papers in

Frédéric Lefèbvre

34 papers receiving 632 citations

Peers

Frédéric Lefèbvre
Comparison fields: 5 of 57
  • Inorganic Chemistry 210
  • Computer Vision and Pattern Recognition 171
  • Organic Chemistry 223
  • Materials Chemistry 327
  • Catalysis 40
Replace Shi-Ming Wang with:
Shi-Ming Wang China
Michel Keller France
Thomas Maier Germany
Christian Bach Germany
Xin Mu China
Sayan Banerjee United States
Zhehui Li China
Lijun Zhang China
Haoran Jia China
Reena Singh India
Frédéric Lefèbvre relative to Shi-Ming Wang China Shi-Ming Wang's profile →
Citations per field
00.5×4.2×
Shi-Ming Wang · 1×
Citations per year

Countries citing papers authored by Frédéric Lefèbvre

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Lefèbvre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frédéric Lefèbvre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frédéric Lefèbvre Line = papers co-authored together Frédéric Lefèbvre links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011200
2 2006133
3
RASH: RAdon soft hash algorithm
2002102
4 200939
5 201527
6 200819
7 200916
8 200315
9 201414
10 200911
11 200810
12 201510
13 20138
14 20086
15 20186
16 20105
17 20224
18 20074
19 20203
20 20193

About Frédéric Lefèbvre

Frédéric Lefèbvre is a scholar working on Computer Vision and Pattern Recognition, Inorganic Chemistry, Materials Chemistry, Electronic, Optical and Magnetic Materials and Organic Chemistry, having authored 35 papers that have together received 660 indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (7 papers), Advanced Steganography and Watermarking Techniques (6 papers), Digital Media Forensic Detection (6 papers), Polyoxometalates: Synthesis and Applications (6 papers), Metal-Organic Frameworks: Synthesis and Applications (5 papers), Crystal structures of chemical compounds (5 papers), Nonlinear Optical Materials Research (4 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Inorganic Chemistry (210 citations), Computer Vision and Pattern Recognition (171 citations), Organic Chemistry (223 citations), Materials Chemistry (327 citations) and Catalysis (40 citations). Frédéric Lefèbvre has collaborated with scholars based in France, Tunisia and United States. Frequent co-authors include Piotr Putaj, Benoı̂t Macq, Jean-Didier Legat, Mostafa Taoufik, Véronique Dufaud, Anne Baudouin, M. Aouine, Christophe Copéret, Jean‐Marie Basset and Gerald P. Niccolai. Their work appears in journals such as Seminars in Arthritis and Rheumatism, Comptes Rendus Chimie, Catalysis Today, Coordination Chemistry Reviews and Inorganica Chimica Acta.

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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