Hervé Monod

2.9k total citations
65 papers, 2.0k citations indexed

About

Hervé Monod is a scholar working on Plant Science, Genetics and Management Science and Operations Research. According to data from OpenAlex, Hervé Monod has authored 65 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 18 papers in Genetics and 12 papers in Management Science and Operations Research. Recurrent topics in Hervé Monod's work include Optimal Experimental Design Methods (12 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Genetics and Plant Breeding (10 papers). Hervé Monod is often cited by papers focused on Optimal Experimental Design Methods (12 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Genetics and Plant Breeding (10 papers). Hervé Monod collaborates with scholars based in France, Morocco and United Kingdom. Hervé Monod's co-authors include Matieyendou Lamboni, David Makowski, Frédérique Eber, Anne‐Marie Chèvre, Eric Jenczewski, Stéphane Nicolas, David Makowski, Christian Lannou, Simon Lehuger and Benoît Gabrielle and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Plant Cell.

In The Last Decade

Hervé Monod

64 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hervé Monod France 24 1.2k 533 384 212 206 65 2.0k
Niels Holst Denmark 24 773 0.7× 384 0.7× 212 0.6× 460 2.2× 122 0.6× 66 2.1k
Emlyn Williams Australia 22 831 0.7× 438 0.8× 180 0.5× 153 0.7× 43 0.2× 66 1.5k
A. P. Verbyla Australia 31 2.1k 1.8× 1.3k 2.4× 225 0.6× 81 0.4× 72 0.3× 85 3.6k
S. J. Welham United Kingdom 29 1.7k 1.5× 420 0.8× 273 0.7× 418 2.0× 28 0.1× 93 3.0k
Bruno Goffinet France 21 1.9k 1.6× 1.2k 2.3× 249 0.6× 232 1.1× 17 0.1× 45 2.5k
Simone Bregaglio Italy 22 1.1k 1.0× 132 0.2× 71 0.2× 459 2.2× 46 0.2× 86 1.7k
Mervyn G. Marasinghe United States 12 243 0.2× 125 0.2× 76 0.2× 145 0.7× 36 0.2× 36 1.2k
Robert K. D. Peterson United States 30 1.3k 1.1× 126 0.2× 552 1.4× 396 1.9× 13 0.1× 147 2.8k
William H. Swallow United States 21 555 0.5× 81 0.2× 215 0.6× 55 0.3× 121 0.6× 54 1.4k
D. R. Morgan New Zealand 17 953 0.8× 113 0.2× 397 1.0× 433 2.0× 22 0.1× 57 1.9k

Countries citing papers authored by Hervé Monod

Since Specialization
Citations

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

Fields of papers citing papers by Hervé Monod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hervé Monod

This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Monod. A scholar is included among the top collaborators of Hervé Monod 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 Hervé Monod. Hervé Monod 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.
Alaphilippe, Aude, et al.. (2024). dexisensitivity: An R package to perform sensitivity analyses of DEXi models. Software Impacts. 23. 100729–100729. 1 indexed citations
2.
Ezanno, Pauline, Sébastien Picault, Gaël Beaunée, et al.. (2021). Research perspectives on animal health in the era of artificial intelligence. Veterinary Research. 52(1). 40–40. 58 indexed citations
3.
4.
Rincent, Renaud, Estelle Kuhn, Hervé Monod, et al.. (2017). Optimization of multi-environment trials for genomic selection based on crop models. Theoretical and Applied Genetics. 130(8). 1735–1752. 36 indexed citations
5.
Makowski, David, et al.. (2017). Sampling Strategies for Evaluating the Rate of Adventitious Transgene Presence in Non‐Genetically Modified Crop Fields. Risk Analysis. 37(9). 1693–1705. 3 indexed citations
6.
Monod, Hervé, et al.. (2016). A Bayesian approach to model dispersal for decision support. Environmental Modelling & Software. 78. 179–190. 4 indexed citations
7.
David, Olivier, et al.. (2016). Adaptive diversification in heterogeneous environments. Theoretical Population Biology. 114. 1–9. 3 indexed citations
8.
Moslonka‐Lefebvre, Mathieu, Christopher A. Gilligan, Hervé Monod, et al.. (2016). Market analyses of livestock trade networks to inform the prevention of joint economic and epidemiological risks. Journal of The Royal Society Interface. 13(116). 20151099–20151099. 18 indexed citations
9.
Monod, Hervé, et al.. (2016). Automatic generation of generalised regular factorial designs. Computational Statistics & Data Analysis. 113. 311–329. 12 indexed citations
10.
Moslonka‐Lefebvre, Mathieu, Hervé Monod, Christopher A. Gilligan, Elisabeta Vergu, & João A. N. Filipe. (2015). Epidemics in markets with trade friction and imperfect transactions. Journal of Theoretical Biology. 374. 165–178. 6 indexed citations
11.
Papaïx, Julien, et al.. (2014). Pathogen population dynamics in agricultural landscapes: The Ddal modelling framework. Infection Genetics and Evolution. 27. 509–520. 27 indexed citations
12.
David, Olivier, et al.. (2013). Dynamics of Adaptation in Spatially Heterogeneous Metapopulations. PLoS ONE. 8(2). e54697–e54697. 33 indexed citations
13.
Nicolas, Stéphane, Hervé Monod, Frédérique Eber, Anne‐Marie Chèvre, & Eric Jenczewski. (2012). Non‐random distribution of extensive chromosome rearrangements in Brassica napus depends on genome organization. The Plant Journal. 70(4). 691–703. 39 indexed citations
14.
Goyeau, Henriette, et al.. (2011). Influence of cultivated landscape composition on variety resistance: an assessment based on wheat leaf rust epidemics. New Phytologist. 191(4). 1095–1107. 51 indexed citations
15.
Courcoul, Aurélie, Hervé Monod, M. Nielen, et al.. (2011). Modelling the effect of heterogeneity of shedding on the within herd Coxiella burnetii spread and identification of key parameters by sensitivity analysis. Journal of Theoretical Biology. 284(1). 130–141. 21 indexed citations
16.
Lamboni, Matieyendou, Hervé Monod, & David Makowski. (2010). Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models. Reliability Engineering & System Safety. 96(4). 450–459. 161 indexed citations
17.
Lurette, Amandine, Suzanne Touzeau, Matieyendou Lamboni, & Hervé Monod. (2009). Sensitivity analysis to identify key parameters influencing Salmonella infection dynamics in a pig batch. Journal of Theoretical Biology. 258(1). 43–52. 21 indexed citations
18.
Ber, Florence Le, Claire Lavigne, Katarzyna Adamczyk, et al.. (2009). Neutral modelling of agricultural landscapes by tessellation methods—Application for gene flow simulation. Ecological Modelling. 220(24). 3536–3545. 28 indexed citations
19.
Chèvre, Anne‐Marie, Katarzyna Adamczyk, Frédérique Eber, et al.. (2006). Modelling gene flow between oilseed rape and wild radish. I. Evolution of chromosome structure. Theoretical and Applied Genetics. 114(2). 209–221. 22 indexed citations
20.
David, Olivier, et al.. (2000). Optimal Complete Block Designs to Adjust for Interplot Competition with a Covariance Analysis. Biometrics. 56(2). 389–393. 1 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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