Arnaud Lyet

1.1k total citations
26 papers, 711 citations indexed

About

Arnaud Lyet is a scholar working on Ecology, Ecological Modeling and Molecular Biology. According to data from OpenAlex, Arnaud Lyet has authored 26 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ecology, 12 papers in Ecological Modeling and 5 papers in Molecular Biology. Recurrent topics in Arnaud Lyet's work include Wildlife Ecology and Conservation (12 papers), Species Distribution and Climate Change (12 papers) and Environmental DNA in Biodiversity Studies (8 papers). Arnaud Lyet is often cited by papers focused on Wildlife Ecology and Conservation (12 papers), Species Distribution and Climate Change (12 papers) and Environmental DNA in Biodiversity Studies (8 papers). Arnaud Lyet collaborates with scholars based in United States, France and Switzerland. Arnaud Lyet's co-authors include Marc Cheylan, Tony Déjean, Aurélien Besnard, Gilles Béna, Thierry Huguet, Ignazio Olivieri, Alice Valentini, Loïc Pellissier, Roger Prodon and Laure Velez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Science Advances.

In The Last Decade

Arnaud Lyet

25 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnaud Lyet United States 15 455 192 164 149 86 26 711
Francine Kershaw United States 13 273 0.6× 98 0.5× 133 0.8× 61 0.4× 69 0.8× 23 528
Hannu Saarenmaa Finland 14 357 0.8× 303 1.6× 190 1.2× 51 0.3× 152 1.8× 48 728
Kyle Copas United States 5 313 0.7× 432 2.3× 126 0.8× 56 0.4× 144 1.7× 11 705
Laura J. Martin United States 7 273 0.6× 202 1.1× 141 0.9× 153 1.0× 208 2.4× 9 764
Gian Marco Palamara Switzerland 8 310 0.7× 165 0.9× 253 1.5× 46 0.3× 253 2.9× 10 752
Stan Blum United States 4 282 0.6× 379 2.0× 61 0.4× 166 1.1× 103 1.2× 5 745
Siro Masinde Kenya 7 255 0.6× 358 1.9× 103 0.6× 80 0.5× 138 1.6× 12 702
Anna Monfils United States 14 259 0.6× 279 1.5× 48 0.3× 179 1.2× 118 1.4× 46 677
David Bloom United States 6 351 0.8× 458 2.4× 77 0.5× 190 1.3× 135 1.6× 12 943
Paul Flemons Australia 9 337 0.7× 467 2.4× 135 0.8× 91 0.6× 275 3.2× 20 902

Countries citing papers authored by Arnaud Lyet

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Lyet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Lyet

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Lyet. A scholar is included among the top collaborators of Arnaud Lyet 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 Arnaud Lyet. Arnaud Lyet 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.
Nogueira, Joana Garrido, Arnaud Lyet, Virgilio Hermoso, et al.. (2025). Assessing the value of environmental DNA into conservation planning: A case study of freshwater bivalves in France. Journal of Environmental Management. 380. 124852–124852. 1 indexed citations
2.
Lopes‐Lima, Manuel, Arnaud Lyet, Vincent Prié, et al.. (2025). A stakeholder empowerment framework to advance eDNA biodiversity monitoring in Africa: Perspectives from Namibia. One Earth. 8(4). 101244–101244. 3 indexed citations
3.
4.
Lyet, Arnaud, Thierry Chambert, Pelayo Acevedo, et al.. (2023). Estimating animal density using the Space‐to‐Event model and bootstrap resampling with motion‐triggered camera‐trap data. Remote Sensing in Ecology and Conservation. 10(2). 141–155. 4 indexed citations
5.
Jiang, Guangshun, Arnaud Lyet, David J. Patterson, et al.. (2023). Restoring Asia’s roar: Opportunities for tiger recovery across the historic range. SHILAP Revista de lepidopterología. 4. 10 indexed citations
6.
Altermatt, Florian, Luca Carraro, Camille Albouy, et al.. (2023). Quantifying biodiversity using eDNA from water bodies: General principles and recommendations for sampling designs. Environmental DNA. 5(4). 671–682. 43 indexed citations
7.
Altermatt, Florian, Fabian Fopp, Antoine Guisan, et al.. (2023). Catchment-based sampling of river eDNA integrates terrestrial and aquatic biodiversity of alpine landscapes. Oecologia. 202(4). 699–713. 16 indexed citations
8.
Mena, José Luis, et al.. (2021). Environmental DNA metabarcoding as a useful tool for evaluating terrestrial mammal diversity in tropical forests. Ecological Applications. 31(5). e02335–e02335. 58 indexed citations
9.
Lyet, Arnaud, et al.. (2021). eDNA sampled from stream networks correlates with camera trap detection rates of terrestrial mammals. Scientific Reports. 11(1). 11362–11362. 56 indexed citations
10.
Cheung, William W. L., Arnaud Lyet, Enric Sala, et al.. (2020). Let more big fish sink: Fisheries prevent blue carbon sequestration—half in unprofitable areas. Science Advances. 6(44). 93 indexed citations
11.
Ahumada, Jorge, Eric Fegraus, Tanya Birch, et al.. (2019). Wildlife Insights: A Platform to Maximize the Potential of Camera Trap and Other Passive Sensor Wildlife Data for the Planet. Environmental Conservation. 47(1). 1–6. 108 indexed citations
12.
Thau, David, Jorge Ahumada, Tanya Birch, et al.. (2019). Artificial Intelligence's Role in Global Camera Trap Data Management and Analytics via Wildlife Insights. Biodiversity Information Science and Standards. 3. 4 indexed citations
13.
Setiawan, Ridwan, et al.. (2017). Preventing Global Extinction of the Javan Rhino: Tsunami Risk and Future Conservation Direction. Conservation Letters. 11(1). 16 indexed citations
14.
Kar, Debarun, Fei Fang, Francesco M. Delle Fave, et al.. (2016). Comparing human behavior models in repeated Stackelberg security games: An extended study. Artificial Intelligence. 240. 65–103. 16 indexed citations
15.
Lyet, Arnaud, et al.. (2016). Using a Binomial Mixture Model and Aerial Counts for an Accurate Estimate of Nile Crocodile Abundance and Population Size in the Kunene River, Namibia. African Journal of Wildlife Research. 46(2). 71–71. 7 indexed citations
16.
Jiang, Guangshun, Cheng Li, Arnaud Lyet, et al.. (2014). Effects of environmental and anthropogenic drivers on Amur tiger distribution in northeastern China. Ecological Research. 29(5). 801–813. 33 indexed citations
17.
Lyet, Arnaud, Wilfried Thuiller, Marc Cheylan, & Aurélien Besnard. (2013). Fine‐scale regional distribution modelling of rare and threatened species: bridging GIS Tools and conservation in practice. Diversity and Distributions. 19(7). 651–663. 27 indexed citations
18.
Ferchaud, Anne‐Laure, Arnaud Lyet, Marc Cheylan, et al.. (2010). High Genetic Differentiation Among French Populations of the Orsini’s Viper (Vipera ursinii ursinii) Based on Mitochondrial and Microsatellite Data: Implications for Conservation Management. Journal of Heredity. 102(1). 67–78. 21 indexed citations
19.
Anselme, Brice, et al.. (2009). Modelling of spatial dynamics and biodiversity conservation on Lure mountain (France). Environmental Modelling & Software. 25(11). 1385–1398. 37 indexed citations
20.
Béna, Gilles, Arnaud Lyet, Thierry Huguet, & Ignazio Olivieri. (2005). Medicago – Sinorhizobium symbiotic specificity evolution and the geographic expansion of Medicago. Journal of Evolutionary Biology. 18(6). 1547–1558. 67 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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