Philippe Picard

1.6k total citations
96 papers, 1.2k citations indexed

About

Philippe Picard is a scholar working on Management Science and Operations Research, Public Health, Environmental and Occupational Health and Statistics and Probability. According to data from OpenAlex, Philippe Picard has authored 96 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 21 papers in Public Health, Environmental and Occupational Health and 21 papers in Statistics and Probability. Recurrent topics in Philippe Picard's work include Probability and Risk Models (21 papers), Mathematical and Theoretical Epidemiology and Ecology Models (21 papers) and COVID-19 epidemiological studies (19 papers). Philippe Picard is often cited by papers focused on Probability and Risk Models (21 papers), Mathematical and Theoretical Epidemiology and Ecology Models (21 papers) and COVID-19 epidemiological studies (19 papers). Philippe Picard collaborates with scholars based in France, Belgium and United Kingdom. Philippe Picard's co-authors include Claude Lefèvre, Claude Lefèvre, Jean-Pierre Gabriel, D. Leclercq, A. J. Faulkner, G. W. Kant, Michel Zivy, J.G. Bij de Vaate, G. Précigoux and H Bricaud and has published in prestigious journals such as Biochemical Journal, FEBS Letters and International Journal of Hydrogen Energy.

In The Last Decade

Philippe Picard

95 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Picard France 19 350 272 270 266 225 96 1.2k
Anders Martin‐Löf Sweden 20 130 0.4× 481 1.8× 195 0.7× 173 0.7× 206 0.9× 42 1.2k
Fuke Wu China 26 97 0.3× 128 0.5× 261 1.0× 426 1.6× 54 0.2× 119 1.9k
Jaime San Martı́n Chile 18 135 0.4× 455 1.7× 109 0.4× 48 0.2× 219 1.0× 84 1.4k
Sotirios Sabanis United Kingdom 12 54 0.2× 107 0.4× 153 0.6× 195 0.7× 89 0.4× 29 764
Weiguo Zhang China 20 304 0.9× 177 0.7× 359 1.3× 255 1.0× 206 0.9× 111 1.4k
Virginia Giorno Italy 18 107 0.3× 272 1.0× 218 0.8× 119 0.4× 149 0.7× 94 1.1k
Martin Hutzenthaler Germany 16 89 0.3× 126 0.5× 115 0.4× 35 0.1× 122 0.5× 40 1.1k
Anthony G. Pakes Australia 27 969 2.8× 1.4k 5.1× 59 0.2× 92 0.3× 1.2k 5.2× 184 2.8k
Michel Métivier France 13 119 0.3× 318 1.2× 49 0.2× 30 0.1× 136 0.6× 33 829
Sylvie Méléard France 18 48 0.1× 294 1.1× 116 0.4× 130 0.5× 106 0.5× 45 806

Countries citing papers authored by Philippe Picard

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Picard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Picard

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

All Works

20 of 20 papers shown
1.
Lefèvre, Claude, et al.. (2017). Epidemic risk and insurance coverage. Journal of Applied Probability. 54(1). 286–303. 18 indexed citations
2.
Torchinsky, S., A. O. H. Olofsson, B. Censier, et al.. (2016). Characterization of a dense aperture array for radio astronomy. Astronomy and Astrophysics. 589. A77–A77. 10 indexed citations
3.
Picard, Philippe, et al.. (2012). Monitoring and Control of EMBRACE: A 4608 Element Phased Array for Radio Astronomy. 461. 209. 1 indexed citations
4.
Picard, Philippe. (2007). Some exact solutions of the ideal MHD equations through symmetry reduction method. Journal of Mathematical Analysis and Applications. 337(1). 360–385. 17 indexed citations
5.
Douat, Céline, Nathalie Marchand-Geneste, Elisabeth Viles, et al.. (2006). Covalent modification of a melanoma-derived antigenic peptide with a natural quinone methide. Preliminary chemical, molecular modelling and immunological evaluation studies. Molecular BioSystems. 2(5). 240–249. 12 indexed citations
6.
Lefèvre, Claude & Philippe Picard. (2005). Nonstationarity and randomization in the Reed-Frost epidemic model. Journal of Applied Probability. 42(4). 950–963. 11 indexed citations
7.
Picard, Philippe & Claude Lefèvre. (2003). On the first meeting or crossing of two independent trajectories for some counting processes. Stochastic Processes and their Applications. 104(2). 217–242. 14 indexed citations
9.
Manigand, Claude, Philippe Picard, Alain Dautant, et al.. (2002). Study of the yeast Saccharomyces cerevisiae F1FO‐ATPase ε‐subunit. Journal of Peptide Science. 8(7). 365–372. 2 indexed citations
10.
Manigand, Claude, et al.. (2001). N‐Terminal domain of HTLV‐I integrase. Complexation and conformational studies of the zinc finger. Journal of Peptide Science. 7(11). 588–597. 5 indexed citations
11.
Picard, Philippe, et al.. (1997). Potential of two‐dimensional electrophoresis in routine identification of closely related durum wheat lines. Electrophoresis. 18(1). 174–181. 22 indexed citations
12.
Busetta, B. & Philippe Picard. (1996). The Use of Proton Chemical Shifts to Define the Solution Structure of a Dimeric Peptide. Journal of Peptide Science. 2(4). 233–239. 2 indexed citations
13.
Lefèvre, Claude & Philippe Picard. (1996). Collective epidemic models. Mathematical Biosciences. 134(1). 51–70. 5 indexed citations
14.
Dautant, Alain, et al.. (1993). Conformational study of a putative HLTV-1 retroviral protease inhibitor. Acta Crystallographica Section D Biological Crystallography. 49(3). 344–348. 4 indexed citations
15.
Picard, Philippe & Claude Lefèvre. (1993). Distribution of the final state and severity of epidemics with fatal risk. Stochastic Processes and their Applications. 48(2). 277–294. 11 indexed citations
16.
Précigoux, G., S. Geoffre, Renaud Léonard, et al.. (1993). Modelling, synthesis and biological activity of a BLV proteinase, made of (only) 116 amino acids. FEBS Letters. 326(1-3). 237–240. 11 indexed citations
17.
Picard, Philippe & Claude Lefèvre. (1991). The dimension of Reed-Frost epidemic models with randomized susceptibility levels. Mathematical Biosciences. 107(2). 225–233. 12 indexed citations
18.
Picard, Philippe & Claude Lefèvre. (1990). A unified analysis of the final size and severity distribution in collective Reed-Frost epidemic processes. Advances in Applied Probability. 22(2). 269–294. 73 indexed citations
19.
Picard, Philippe, et al.. (1988). Characterization of an antibody directed against a 128 kDa glycoprotein involved in the thrombogenicity of the elastin-associated microfibrils.. Europe PMC (PubMed Central). 255(1). 251–8. 4 indexed citations
20.
Picard, Philippe, et al.. (1981). An Efficient One-Pot Synthesis of Oxetanes from 1,3-Diols. Synthesis. 1981(7). 550–551. 44 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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