Verónica Andreo

778 total citations
40 papers, 439 citations indexed

About

Verónica Andreo is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Global and Planetary Change. According to data from OpenAlex, Verónica Andreo has authored 40 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Public Health, Environmental and Occupational Health, 10 papers in Infectious Diseases and 10 papers in Global and Planetary Change. Recurrent topics in Verónica Andreo's work include Mosquito-borne diseases and control (16 papers), Viral Infections and Vectors (10 papers) and Species Distribution and Climate Change (9 papers). Verónica Andreo is often cited by papers focused on Mosquito-borne diseases and control (16 papers), Viral Infections and Vectors (10 papers) and Species Distribution and Climate Change (9 papers). Verónica Andreo collaborates with scholars based in Argentina, Netherlands and United States. Verónica Andreo's co-authors include Jaime J. Polop, Markus Neteler, Carlos Marcelo Scavuzzo, Markus Metz, José Priotto, Maurício Lima, Ximena Porcasi, Michael Marshall, A German and Anabella Ferral and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Remote Sensing.

In The Last Decade

Verónica Andreo

37 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Verónica Andreo Argentina 12 148 137 104 84 73 40 439
Heather Cheshire United States 12 198 1.3× 142 1.0× 58 0.6× 32 0.4× 62 0.8× 21 438
Munyaradzi Davis Shekede Zimbabwe 15 145 1.0× 267 1.9× 45 0.4× 41 0.5× 76 1.0× 34 583
Travis Logan Canada 13 145 1.0× 194 1.4× 84 0.8× 141 1.7× 23 0.3× 26 622
Jacques‐André Ndione Senegal 13 142 1.0× 322 2.4× 202 1.9× 218 2.6× 121 1.7× 28 728
Tanjona Ramiadantsoa United States 10 159 1.1× 174 1.3× 29 0.3× 48 0.6× 24 0.3× 20 459
Max J. Moreno-Madriñán United States 15 72 0.5× 83 0.6× 114 1.1× 53 0.6× 54 0.7× 26 418
D. B. Otis United States 12 330 2.2× 131 1.0× 47 0.5× 28 0.3× 84 1.2× 17 624
Hans Olav Hygen Norway 13 63 0.4× 72 0.5× 64 0.6× 103 1.2× 77 1.1× 22 611
Dónall Eoin Cross United Kingdom 8 56 0.4× 96 0.7× 163 1.6× 59 0.7× 41 0.6× 10 330
Marc Despinoy France 10 116 0.8× 126 0.9× 67 0.6× 38 0.5× 34 0.5× 18 380

Countries citing papers authored by Verónica Andreo

Since Specialization
Citations

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

Fields of papers citing papers by Verónica Andreo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verónica Andreo

This figure shows the co-authorship network connecting the top 25 collaborators of Verónica Andreo. A scholar is included among the top collaborators of Verónica Andreo 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 Verónica Andreo. Verónica Andreo 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.
Andreo, Verónica, et al.. (2025). Orthohantavirus rodent hosts and genotypes in Southern South America: A narrative review. PLoS neglected tropical diseases. 19(9). e0013489–e0013489.
2.
Garzón‐López, Carol X., Alejandro Miranda, Daniel Moya, & Verónica Andreo. (2024). Remote sensing biodiversity monitoring in Latin America: Emerging need for sustained local research and regional collaboration to achieve global goals. Global Ecology and Biogeography. 33(4). 5 indexed citations
3.
Andreo, Verónica, et al.. (2023). Using VHR satellite imagery, OBIA and landscape metrics to improve mosquito surveillance in urban areas. Ecological Informatics. 77. 102221–102221. 6 indexed citations
4.
Andreo, Verónica, Charles Beumier, Ximena Porcasi, et al.. (2023). Ovitrap Monitor - Online application for counting mosquito eggs and visualisation toolbox in support of health services. Ecological Informatics. 75. 102105–102105. 4 indexed citations
5.
Andreo, Verónica, et al.. (2023). Colilargo’s occupancy and the role of native and exotic plants in hantavirus expansion and transmission risk. Mammal Research. 68(2). 167–176. 2 indexed citations
6.
7.
Andreo, Verónica, et al.. (2022). Distribution of Phlebotominae (Diptera: Psychodidade) species and human cases of leishmaniasis in the Province of Corrientes, Argentina. Revista de la Sociedad Entomológica Argentina. 81(4). 2 indexed citations
8.
Andreo, Verónica, et al.. (2022). Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes. Geospatial health. 17(1). 2 indexed citations
9.
Osei, Frank, Alfred Stein, & Verónica Andreo. (2022). A zero-inflated mixture spatially varying coefficient modeling of cholera incidences. Spatial Statistics. 48. 100635–100635. 4 indexed citations
10.
Ferral, Anabella, et al.. (2021). Calculation of surface urban heat index from LANDSAT-8 TIRS data and its relation with land cover. Zenodo (CERN European Organization for Nuclear Research). 1–6. 5 indexed citations
11.
Georganos, Stefanos, Oscar Brousse, Sébastien Dujardin, et al.. (2020). Modelling and mapping the intra-urban spatial distribution of Plasmodium falciparum parasite rate using very-high-resolution satellite derived indicators. International Journal of Health Geographics. 19(1). 38–38. 22 indexed citations
12.
German, A, et al.. (2020). A novel method based on time series satellite data analysis to detect algal blooms. Ecological Informatics. 59. 101131–101131. 28 indexed citations
13.
Porcasi, Ximena, et al.. (2019). Spatial analysis of Aedes aegypti activity for public health surveillance. 214–217. 2 indexed citations
14.
15.
Porcasi, Ximena, et al.. (2018). Regional scale environmental variables complementing a Risk Model of Chagas Disease vectorial transmission. University of Twente Research Information. 104. 1–5. 1 indexed citations
16.
Metz, Markus, Verónica Andreo, & Markus Neteler. (2017). A New Fully Gap-Free Time Series of Land Surface Temperature from MODIS LST Data. Remote Sensing. 9(12). 1333–1333. 62 indexed citations
17.
Andreo, Verónica, et al.. (2015). Design and implementation of an operational meteo fire risk forecast based on open source geospatial technology. 120. 2155–2158. 6 indexed citations
18.
Andreo, Verónica, Markus Neteler, Duccio Rocchini, et al.. (2014). Estimating Hantavirus Risk in Southern Argentina: A GIS-Based Approach Combining Human Cases and Host Distribution. Viruses. 6(1). 201–222. 25 indexed citations
19.
Andreo, Verónica. (2012). VARIABLES AMBIENTALES EN LA DINÁMICA ESPACIAL DE OLIGORYZOMYS LONGICAUDATUS (HUÉSPED DEL VIRUS ANDES) EN LA REGIÓN NOROESTE DE CHUBUT, ARGENTINA. Mastozoología neotropical. 19(1). 179–181. 1 indexed citations
20.
Andreo, Verónica, et al.. (2011). Modeling Potential Distribution of Oligoryzomys longicaudatus, the Andes Virus (Genus: Hantavirus) Reservoir, in Argentina. EcoHealth. 8(3). 332–348. 20 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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