Facundo Muñoz

1.5k total citations
38 papers, 1.1k citations indexed

About

Facundo Muñoz is a scholar working on Nature and Landscape Conservation, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Facundo Muñoz has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nature and Landscape Conservation, 10 papers in Agronomy and Crop Science and 9 papers in Genetics. Recurrent topics in Facundo Muñoz's work include Animal Disease Management and Epidemiology (10 papers), Genetic and phenotypic traits in livestock (9 papers) and Forest ecology and management (7 papers). Facundo Muñoz is often cited by papers focused on Animal Disease Management and Epidemiology (10 papers), Genetic and phenotypic traits in livestock (9 papers) and Forest ecology and management (7 papers). Facundo Muñoz collaborates with scholars based in France, Spain and Argentina. Facundo Muñoz's co-authors include Antonio López‐Quílez, David Conesa, María Grazia Pennino, J.M. Bellido-Millán, Ramón Álvarez-Valdés, Enrique Benavent, Enriqueta Vercher, José D. Bermúdez, José-Manuel Belenguer and Iosu Paradinas and has published in prestigious journals such as PLoS ONE, Scientific Reports and Marine Ecology Progress Series.

In The Last Decade

Facundo Muñoz

37 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
Facundo Muñoz France 17 381 344 256 130 130 38 1.1k
Christian E. Vincenot Japan 15 304 0.8× 239 0.7× 154 0.6× 49 0.4× 108 0.8× 29 1.2k
Alice S. A. Johnston United Kingdom 14 385 1.0× 351 1.0× 246 1.0× 37 0.3× 96 0.7× 21 1.4k
Joni Downs United States 22 413 1.1× 227 0.7× 81 0.3× 320 2.5× 31 0.2× 64 1.3k
Jonathan Beecham United Kingdom 10 288 0.8× 226 0.7× 190 0.7× 60 0.5× 58 0.4× 20 771
Jacob Nabe‐Nielsen Denmark 26 1.2k 3.1× 524 1.5× 547 2.1× 33 0.3× 116 0.9× 72 2.3k
Daniel Ayllón Spain 21 804 2.1× 403 1.2× 943 3.7× 33 0.3× 155 1.2× 48 1.6k
Viktoriia Radchuk Germany 19 617 1.6× 410 1.2× 495 1.9× 37 0.3× 260 2.0× 48 1.8k
Callum Thomas United Kingdom 13 514 1.3× 102 0.3× 133 0.5× 52 0.4× 54 0.4× 35 922
Cara A. Gallagher Germany 6 208 0.5× 160 0.5× 105 0.4× 30 0.2× 51 0.4× 13 668
Marcel P. Huijser United States 19 1.3k 3.4× 151 0.4× 102 0.4× 26 0.2× 70 0.5× 68 1.4k

Countries citing papers authored by Facundo Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Facundo Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Facundo Muñoz

This figure shows the co-authorship network connecting the top 25 collaborators of Facundo Muñoz. A scholar is included among the top collaborators of Facundo Muñoz 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 Facundo Muñoz. Facundo Muñoz 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.
2.
Ciss, Mamadou, Alexis Delabouglise, Facundo Muñoz, et al.. (2023). Description of the Cattle and Small Ruminants Trade Network in Senegal and Implication for the Surveillance of Animal Diseases. Transboundary and Emerging Diseases. 2023. 1–13. 3 indexed citations
3.
Ezanno, Pauline, Sébastien Picault, Gaël Beaunée, et al.. (2022). The African swine fever modelling challenge: Model comparison and lessons learnt. Epidemics. 40. 100615–100615. 11 indexed citations
4.
Stachurski, Frédéric, Facundo Muñoz, Ignace Rakotoarivony, et al.. (2022). The Crimean‐Congo haemorrhagic fever tick vectorHyalomma marginatumin the south of France: Modelling its distribution and determination of factors influencing its establishment in a newly invaded area. Transboundary and Emerging Diseases. 69(5). e2351–e2365. 21 indexed citations
5.
Muñoz, Facundo, David Pleydell, & Ferrán Jori. (2022). A combination of probabilistic and mechanistic approaches for predicting the spread of African swine fever on Merry Island. Epidemics. 40. 100596–100596. 11 indexed citations
6.
Tahi, G.Mathias, Facundo Muñoz, Leopoldo Sánchez, et al.. (2021). Cocoa breeding must take into account the competitive value of cocoa trees. European Journal of Agronomy. 128. 126288–126288. 11 indexed citations
7.
Muñoz, Facundo, et al.. (2021). Implementation of zoning to guide management of foot and mouth disease in Tunisia. Transboundary and Emerging Diseases. 69(3). 1338–1348.
8.
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
9.
Segura, Vincent, et al.. (2020). Favorable Conditions for Genomic Evaluation to Outperform Classical Pedigree Evaluation Highlighted by a Proof-of-Concept Study in Poplar. Frontiers in Plant Science. 11. 581954–581954. 15 indexed citations
10.
Romey, Aurore, Anthony Relmy, Eve Laloy, et al.. (2019). Seroprevalence and molecular characterization of foot‐and‐mouth disease virus in Chad. Veterinary Medicine and Science. 6(1). 114–121. 6 indexed citations
11.
Muñoz, Facundo, et al.. (2019). Modeling Culicoides abundance in mainland France: implications for surveillance. Parasites & Vectors. 12(1). 391–391. 12 indexed citations
12.
Peyre, Marisa, et al.. (2019). Typological analysis of public-private partnerships in the veterinary domain. PLoS ONE. 14(10). e0224079–e0224079. 11 indexed citations
13.
Garros, Claire, Karien Labuschagne, Thomas Balenghien, et al.. (2019). Culicoides Latreille in the sun: faunistic inventory of Culicoides species (Diptera: Ceratopogonidae) in Mayotte (Comoros Archipelago, Indian Ocean). Parasites & Vectors. 12(1). 135–135. 3 indexed citations
14.
Schlichting, Carl D., et al.. (2018). Deciphering Hybrid Larch Reaction Norms Using Random Regression. G3 Genes Genomes Genetics. 9(1). 21–32. 16 indexed citations
15.
Cappa, Eduardo P., et al.. (2018). Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers. Plant Science. 271. 27–33. 19 indexed citations
16.
Villari, Caterina, Arnaud Dowkiw, Rasmus Enderle, et al.. (2018). Advanced spectroscopy-based phenotyping offers a potential solution to the ash dieback epidemic. Scientific Reports. 8(1). 17448–17448. 23 indexed citations
17.
Muñoz, Facundo, et al.. (2017). A Cost-Based Ripley’s K Function to Assess Social Strategies in Settlement Patterning. Journal of Archaeological Method and Theory. 25(3). 777–794. 4 indexed citations
18.
Pennino, María Grazia, Facundo Muñoz, David Conesa, Antonio López‐Quílez, & J.M. Bellido-Millán. (2013). Modeling sensitive elasmobranch habitats. Journal of Sea Research. 83. 209–218. 65 indexed citations
19.
González–Warleta, Marta, José Antonio Castro-Hermida, Ana María Martínez-Ibeas, et al.. (2012). Bovine paramphistomosis in Galicia (Spain): Prevalence, intensity, aetiology and geospatial distribution of the infection. Veterinary Parasitology. 191(3-4). 252–263. 79 indexed citations
20.
López‐Quílez, Antonio & Facundo Muñoz. (2009). Geostatistical computing of acoustic maps in the presence of barriers. Mathematical and Computer Modelling. 50(5-6). 929–938. 15 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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