Sergio Vílchez

1.3k total citations
20 papers, 903 citations indexed

About

Sergio Vílchez is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, Sergio Vílchez has authored 20 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 8 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Plant Science. Recurrent topics in Sergio Vílchez's work include Ecology and Vegetation Dynamics Studies (4 papers), Bat Biology and Ecology Studies (3 papers) and Cocoa and Sweet Potato Agronomy (3 papers). Sergio Vílchez is often cited by papers focused on Ecology and Vegetation Dynamics Studies (4 papers), Bat Biology and Ecology Studies (3 papers) and Cocoa and Sweet Potato Agronomy (3 papers). Sergio Vílchez collaborates with scholars based in Costa Rica, Nicaragua and France. Sergio Vílchez's co-authors include Blas Hernández, Célia A. Harvey, Arnulfo Medina, Fernando Casanoves, Joel C. Sáenz, Fergus Sinclair, Rolando Cerda, Eduardo Somarriba, Olivier Deheuvels and Carlos Barreira Martinez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecological Applications and Agriculture Ecosystems & Environment.

In The Last Decade

Sergio Vílchez

18 papers receiving 860 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Vílchez Costa Rica 12 309 277 263 228 199 20 903
Oliver Komar United States 11 434 1.4× 253 0.9× 354 1.3× 456 2.0× 58 0.3× 30 1.2k
Andrea Cruz Angón United States 10 334 1.1× 265 1.0× 247 0.9× 154 0.7× 80 0.4× 20 705
Caleb E. Gordon United States 12 305 1.0× 206 0.7× 160 0.6× 193 0.8× 63 0.3× 17 685
Brice Sinsin Benin 17 208 0.7× 364 1.3× 183 0.7× 151 0.7× 49 0.2× 91 885
Matthias De Beenhouwer Belgium 13 108 0.3× 120 0.4× 96 0.4× 178 0.8× 125 0.6× 16 705
Júlio Baumgarten Brazil 15 537 1.7× 429 1.5× 355 1.3× 337 1.5× 101 0.5× 36 1.0k
Rudi Ricardo Laps Brazil 11 407 1.3× 320 1.2× 409 1.6× 286 1.3× 89 0.4× 26 853
Guillermo Ibarra‐Núñez Mexico 13 194 0.6× 391 1.4× 157 0.6× 91 0.4× 52 0.3× 38 703
Katherine K. Ennis United States 8 121 0.4× 260 0.9× 156 0.6× 121 0.5× 23 0.1× 15 623
Aaron L. Iverson United States 11 150 0.5× 294 1.1× 166 0.6× 142 0.6× 18 0.1× 29 721

Countries citing papers authored by Sergio Vílchez

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Vílchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Vílchez

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Vílchez. A scholar is included among the top collaborators of Sergio Vílchez 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 Sergio Vílchez. Sergio Vílchez 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.
Martinuz, Alfonso, et al.. (2025). The role of salicylic and jasmonic acid in the induction of resistance in Arabidopsis thaliana against Meloidogyne incognita. Physiological and Molecular Plant Pathology. 140. 102943–102943.
2.
Avelino, Jacques, et al.. (2019). Shade tree Chloroleucon eurycyclum promotes coffee leaf rust by reducing uredospore wash-off by rain. Crop Protection. 129. 105038–105038. 36 indexed citations
3.
Barrios, M., et al.. (2019). Economic constraints as drivers of coffee rust epidemics in Nicaragua. Crop Protection. 127. 104980–104980. 18 indexed citations
4.
Fung, Emily, et al.. (2016). Mapping conservation priorities and connectivity pathways under climate change for tropical ecosystems. Climatic Change. 141(1). 77–92. 31 indexed citations
5.
Merle, Isabelle, Sergio Vílchez, Philippe Tixier, et al.. (2016). Shade Effects on the Dispersal of Airborne Hemileia vastatrix Uredospores. Phytopathology. 106(6). 572–580. 45 indexed citations
6.
Cerda, Rolando, Olivier Deheuvels, Justine Kent, et al.. (2014). Contribution of cocoa agroforestry systems to family income and domestic consumption: looking toward intensification. Agroforestry Systems. 88(6). 957–981. 139 indexed citations
7.
Somarriba, Eduardo, et al.. (2014). Cocoa–timber agroforestry systems: Theobroma cacao–Cordia alliodora in Central America. Agroforestry Systems. 88(6). 1001–1019. 46 indexed citations
8.
Harvey, Célia A., et al.. (2014). Diversidad, composición y estructura de la vegetación en un agropaisaje ganadero en Matiguás, Nicaragua. Revista de Biología Tropical. 53(3-4). 387–387. 12 indexed citations
9.
Vílchez, Sergio, et al.. (2013). Relative influence of plot and landscape scale factors on coffee berry borer abundance: a variation partitioning hierarchical approach. Agritrop (Cirad). 1 indexed citations
10.
Sánchez, Esteban, et al.. (2013). Shade has antagonistic effects on coffee berry borer. Agritrop (Cirad). 6 indexed citations
11.
Arendt, Wayne J., et al.. (2012). Diversidad de aves en agropaisajes en la region norte de Nicaragua. Ornitología Neotropical. 23. 113–131. 6 indexed citations
12.
Chain‐Guadarrama, Adina, Bryan Finegan, Sergio Vílchez, & Fernando Casanoves. (2012). Determinants of rain-forest floristic variation on an altitudinal gradient in southern Costa Rica. Journal of Tropical Ecology. 28(5). 463–481. 24 indexed citations
13.
Pla, Laura, et al.. (2010). Qeco-Quantitative ecology software: A collaborative approach. 1(1). 9 indexed citations
14.
Harvey, Célia A., Arnulfo Medina, Sergio Vílchez, et al.. (2006). PATTERNS OF ANIMAL DIVERSITY IN DIFFERENT FORMS OF TREE COVER IN AGRICULTURAL LANDSCAPES. Ecological Applications. 16(5). 1986–1999. 246 indexed citations
15.
Medina, Arnulfo, et al.. (2006). Bat Diversity and Movement in an Agricultural Landscape in Matiguás, Nicaragua. Biotropica. 39(1). 120–128. 101 indexed citations
16.
Harvey, Célia A., et al.. (2005). Diversidad, composición y estructura de la vegetación en un paisaje fragmentado de bosque seco en Rivas, Nicaragua. 91–104. 1 indexed citations
17.
Harvey, Célia A., Cristóbal Villanueva, Jaime Villacís, et al.. (2005). Contribution of live fences to the ecological integrity of agricultural landscapes. Agriculture Ecosystems & Environment. 111(1-4). 200–230. 154 indexed citations
18.
Medina, Arnulfo, René Maximiliano Gómez, Sergio Vílchez, et al.. (2004). Importancia ecológica y socioeconómica de la cobertura arbórea en un paisaje fragmentado de bosque seco de Belen, Rivas, Nicaragua. 7–22. 5 indexed citations
19.
Medina, Arnulfo, et al.. (2004). Diversidad de aves en un paisaje fragmentado de bosque seco en Rivas, Nicaragua. 60–75. 12 indexed citations
20.
Medina, Arnulfo, et al.. (2004). Diversidad y composición de Chiropteros en un paisaje fragmentado de bosque seco en Rivas, Nicaragua. SHILAP Revista de lepidopterología. 24–43. 11 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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