Nicolas Parisey

487 total citations
32 papers, 323 citations indexed

About

Nicolas Parisey is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Insect Science. According to data from OpenAlex, Nicolas Parisey has authored 32 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 11 papers in Ecology, Evolution, Behavior and Systematics and 10 papers in Insect Science. Recurrent topics in Nicolas Parisey's work include Plant and animal studies (10 papers), Insect-Plant Interactions and Control (7 papers) and Ecology and Vegetation Dynamics Studies (5 papers). Nicolas Parisey is often cited by papers focused on Plant and animal studies (10 papers), Insect-Plant Interactions and Control (7 papers) and Ecology and Vegetation Dynamics Studies (5 papers). Nicolas Parisey collaborates with scholars based in France, United Kingdom and Austria. Nicolas Parisey's co-authors include Sylvain Poggi, Jean-Pierre Mazat, Stéphane Ransac, Rémi Duflot, Stéphanie Aviron, Charles‐Antoine Dedryver, Mamadou Ciss, Jean‐Sébastien Pierre, Benoît Ricci and Hartmut Beug and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oncogene.

In The Last Decade

Nicolas Parisey

29 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Parisey France 12 120 97 79 69 43 32 323
Ming‐Hong Lu China 12 212 1.8× 292 3.0× 105 1.3× 109 1.6× 26 0.6× 22 431
Jonathan R. Morris United States 8 74 0.6× 119 1.2× 112 1.4× 53 0.8× 28 0.7× 12 268
J. A. Cheng China 10 210 1.8× 270 2.8× 67 0.8× 181 2.6× 10 0.2× 16 428
Jessica Vereijssen New Zealand 13 306 2.5× 130 1.3× 67 0.8× 28 0.4× 9 0.2× 31 405
Françoise Petter United Kingdom 12 157 1.3× 186 1.9× 41 0.5× 27 0.4× 27 0.6× 35 329
Thomas Becker Germany 6 158 1.3× 18 0.2× 50 0.6× 170 2.5× 28 0.7× 11 295
Sergei Tarasov Finland 9 89 0.7× 37 0.4× 252 3.2× 83 1.2× 80 1.9× 29 449
Amy E. Boyd United States 8 222 1.9× 20 0.2× 175 2.2× 116 1.7× 81 1.9× 17 338
Marion Orsucci France 9 108 0.9× 175 1.8× 75 0.9× 169 2.4× 23 0.5× 18 311
Vivian Negrón‐Ortíz United States 12 195 1.6× 25 0.3× 339 4.3× 125 1.8× 63 1.5× 22 455

Countries citing papers authored by Nicolas Parisey

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Parisey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Parisey

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Parisey. A scholar is included among the top collaborators of Nicolas Parisey 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 Nicolas Parisey. Nicolas Parisey 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.
Assié, Sébastien, et al.. (2024). Harnessing uncertainty: A deep mechanistic approach for cautious diagnostic and forecast of Bovine Respiratory Disease. Preventive Veterinary Medicine. 233. 106354–106354.
2.
Hamelin, Frédéric, et al.. (2023). Imaging with spatio-temporal modelling to characterize the dynamics of plant-pathogen lesions. PLoS Computational Biology. 19(11). e1011627–e1011627. 3 indexed citations
3.
Garcia, Guglielmo Fernandez, et al.. (2023). A deep learning approach to detect and identify live freshwater macroinvertebrates. Aquatic Ecology. 57(4). 933–949. 2 indexed citations
4.
Maurel, Véronique Bellon, Évelyne Lutton, Pierre Bisquert, et al.. (2022). Digital revolution for the agroecological transition of food systems: A responsible research and innovation perspective. Agricultural Systems. 203. 103524–103524. 38 indexed citations
5.
Bousset, Lydia, et al.. (2021). Besides stem canker severity, oilseed rape host genotype matters for the production of Leptosphaeria maculans fruit bodies. Fungal ecology. 52. 101076–101076. 4 indexed citations
6.
Buisson, Alain, et al.. (2021). Image based species identification of Globodera quarantine nematodes using computer vision and deep learning. Computers and Electronics in Agriculture. 186. 106058–106058. 24 indexed citations
7.
Parisey, Nicolas, et al.. (2021). Optimal spatial monitoring of populations described by reaction–diffusion models. Journal of Theoretical Biology. 534. 110976–110976. 1 indexed citations
8.
Trotoux, Gwenn, et al.. (2021). An automatic non-invasive classification for plant phenotyping by MRI images: An application for quality control on cauliflower at primary meristem stage. Computers and Electronics in Agriculture. 187. 106303–106303. 9 indexed citations
9.
Bousset, Lydia, et al.. (2019). Automated image processing framework for analysis of the density of fruiting bodies of Leptosphaeria maculans on oilseed rape stems. Plant Pathology. 68(9). 1749–1760. 8 indexed citations
10.
Poggi, Sylvain, et al.. (2018). Inferring ecological processes from population signatures: A simulation-based heuristic for the selection of sampling strategies. Ecological Modelling. 385. 12–25. 1 indexed citations
11.
Poggi, Sylvain, Julien Papaïx, Claire Lavigne, et al.. (2018). Issues and challenges in landscape models for agriculture: from the representation of agroecosystems to the design of management strategies. Landscape Ecology. 33(10). 1679–1690. 14 indexed citations
12.
Parisey, Nicolas, et al.. (2016). Rearranging agricultural landscapes towards habitat quality optimisation: In silico application to pest regulation. Ecological Complexity. 28. 113–122. 12 indexed citations
13.
Midoux, Cédric, et al.. (2015). Interpretation and approximation tools for big, dense Markov chain transition matrices in population genetics. Algorithms for Molecular Biology. 10(1). 31–31. 8 indexed citations
14.
Ciss, Mamadou, et al.. (2014). Response of Insect Relative Growth Rate to Temperature and Host-Plant Phenology: Estimation and Validation from Field Data. PLoS ONE. 9(1). e86825–e86825. 6 indexed citations
15.
Ciss, Mamadou, et al.. (2013). A spatiotemporal model for predicting grain aphid population dynamics and optimizing insecticide sprays at the scale of continental France. Environmental Science and Pollution Research. 21(7). 4819–4827. 11 indexed citations
16.
Hassan, Diab Al, Nicolas Parisey, Françoise Burel, et al.. (2013). Relationship between the abundance of aphids and their natural enemies in cereal fields and landscape composition. SHILAP Revista de lepidopterología. 2(2). 89–101. 12 indexed citations
17.
Ciss, Mamadou, Nicolas Parisey, C. A. Dedryver, & Jean‐Sébastien Pierre. (2012). Understanding flying insect dispersion: Multiscale analyses of fragmented landscapes. Ecological Informatics. 14. 59–63. 12 indexed citations
18.
Ransac, Stéphane, Nicolas Parisey, & Jean-Pierre Mazat. (2008). The loneliness of the electrons in the bc1 complex. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1777(7-8). 1053–1059. 24 indexed citations
19.
Parisey, Nicolas, et al.. (2007). Formal TCA cycle description based on elementary actions. Journal of Biosciences. 32(1). 145–155. 3 indexed citations
20.
Damiola, Francesca, et al.. (2003). The MEK-1/ERKs signalling pathway is differentially involved in the self-renewal of early and late avian erythroid progenitor cells. Oncogene. 22(58). 9205–9216. 26 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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