Jacinto González‐Dacosta

798 total citations
25 papers, 599 citations indexed

About

Jacinto González‐Dacosta is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Jacinto González‐Dacosta has authored 25 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ecological Modeling, 16 papers in Nature and Landscape Conservation and 12 papers in Ecology. Recurrent topics in Jacinto González‐Dacosta's work include Species Distribution and Climate Change (19 papers), Ecology and Vegetation Dynamics Studies (8 papers) and Wildlife Ecology and Conservation (8 papers). Jacinto González‐Dacosta is often cited by papers focused on Species Distribution and Climate Change (19 papers), Ecology and Vegetation Dynamics Studies (8 papers) and Wildlife Ecology and Conservation (8 papers). Jacinto González‐Dacosta collaborates with scholars based in Spain, Colombia and United States. Jacinto González‐Dacosta's co-authors include Emilio García‐Roselló, Cástor Guisande, Jorge M. Lobo, Luis González Vilas, Juergen Heine, Patricia Pelayo‐Villamil, Carlos Granado‐Lorencio, Ana Manjarrés‐Hernández, Antonio Vaamonde Liste and Richard P. Vari and has published in prestigious journals such as The Science of The Total Environment, Biological Conservation and Ecological Indicators.

In The Last Decade

Jacinto González‐Dacosta

24 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacinto González‐Dacosta Spain 14 352 344 277 123 83 25 599
Juergen Heine Spain 9 244 0.7× 245 0.7× 186 0.7× 91 0.7× 57 0.7× 12 392
Patricia Pelayo‐Villamil Spain 11 282 0.8× 208 0.6× 185 0.7× 59 0.5× 52 0.6× 18 422
Matthias Grenié France 12 321 0.9× 232 0.7× 279 1.0× 208 1.7× 107 1.3× 21 590
Pierre Denelle Germany 13 313 0.9× 174 0.5× 245 0.9× 176 1.4× 121 1.5× 22 536
Timothy Bartley Canada 8 190 0.5× 86 0.3× 277 1.0× 95 0.8× 119 1.4× 13 445
Dani Villero Spain 14 317 0.9× 361 1.0× 417 1.5× 158 1.3× 271 3.3× 25 746
Mark S. Poos Canada 11 462 1.3× 77 0.2× 440 1.6× 80 0.7× 98 1.2× 11 607
Juliana Stropp Brazil 12 266 0.8× 199 0.6× 130 0.5× 193 1.6× 73 0.9× 24 444
Jennifer G. Howeth United States 13 327 0.9× 52 0.2× 352 1.3× 89 0.7× 89 1.1× 20 532
Will Darwall United Kingdom 2 290 0.8× 118 0.3× 244 0.9× 64 0.5× 189 2.3× 3 515

Countries citing papers authored by Jacinto González‐Dacosta

Since Specialization
Citations

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

Fields of papers citing papers by Jacinto González‐Dacosta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacinto González‐Dacosta. 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 Jacinto González‐Dacosta. The network helps show where Jacinto González‐Dacosta may publish in the future.

Co-authorship network of co-authors of Jacinto González‐Dacosta

This figure shows the co-authorship network connecting the top 25 collaborators of Jacinto González‐Dacosta. A scholar is included among the top collaborators of Jacinto González‐Dacosta 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 Jacinto González‐Dacosta. Jacinto González‐Dacosta 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.
García‐Roselló, Emilio, Jacinto González‐Dacosta, & Jorge M. Lobo. (2025). Geographic biases undermine environmental representativeness of European biodiversity data. The Science of The Total Environment. 996. 180178–180178.
2.
García‐Roselló, Emilio, Jacinto González‐Dacosta, Cástor Guisande, & Jorge M. Lobo. (2023). GBIF falls short of providing a representative picture of the global distribution of insects. Systematic Entomology. 48(4). 489–497. 23 indexed citations
3.
García‐Roselló, Emilio, Jacinto González‐Dacosta, & Jorge M. Lobo. (2023). The biased distribution of existing information on biodiversity hinders its use in conservation, and we need an integrative approach to act urgently. Biological Conservation. 283. 110118–110118. 35 indexed citations
4.
Granado‐Lorencio, Carlos, Cástor Guisande, Patricia Pelayo‐Villamil, et al.. (2020). Diversity Dimensions of Freshwater Fish Species around the World. Journal of Geographic Information System. 13(1). 1–18. 1 indexed citations
5.
García‐Roselló, Emilio, Cástor Guisande, Luis González Vilas, et al.. (2019). A simple method to estimate the probable distribution of species. Ecography. 42(9). 1613–1622. 21 indexed citations
6.
Guisande, Cástor, et al.. (2019). SINENVAP: An algorithm that employs kriging to identify optimal spatial interpolation models in polygons. Ecological Informatics. 53. 100975–100975. 2 indexed citations
7.
Guisande, Cástor, et al.. (2019). NOO3D: A procedure to perform 3D species distribution models. Ecological Informatics. 54. 101008–101008. 4 indexed citations
8.
Pelayo‐Villamil, Patricia, Cástor Guisande, Ana Manjarrés‐Hernández, et al.. (2018). Completeness of national freshwater fish species inventories around the world. Biodiversity and Conservation. 27(14). 3807–3817. 29 indexed citations
9.
Lobo, Jorge M., Joaquín Hortal, José Luís Yela, et al.. (2018). KnowBR: An application to map the geographical variation of survey effort and identify well-surveyed areas from biodiversity databases. Ecological Indicators. 91. 241–248. 92 indexed citations
10.
Guisande, Cástor, et al.. (2018). VIDTAXA: An algorithm for the identification of statistically different groups based on variability obtained in factorial analyses. Ecological Informatics. 49. 62–68. 2 indexed citations
11.
Pelayo‐Villamil, Patricia, Cástor Guisande, Juan D. Carvajal‐Quintero, et al.. (2017). MODESTR: Una herramienta informática para el estudio de los ecosistemas acuáticos de Colombia. Actualidades Biológicas. 34(97). 225–239. 3 indexed citations
12.
Guisande, Cástor, et al.. (2016). SPEDInstabR: An algorithm based on a fluctuation index for selecting predictors in species distribution modeling. Ecological Informatics. 37. 18–23. 26 indexed citations
13.
Guisande, Cástor, Richard P. Vari, Emilio García‐Roselló, et al.. (2016). VARSEDIG: an algorithm for morphometric characters selection and statistical validation in morphological taxonomy. Zootaxa. 4162(3). 571–80. 13 indexed citations
14.
Vilas, Luis González, Cástor Guisande, Richard P. Vari, et al.. (2015). Geospatial data of freshwater habitats for macroecological studies: an example with freshwater fishes. International Journal of Geographical Information Systems. 30(1). 126–141. 14 indexed citations
15.
Guisande, Cástor, Juergen Heine, Emilio García‐Roselló, et al.. (2015). FactorsR: An RWizard Application for Identifying the Most Likely Causal Factors in Controlling Species Richness. Diversity. 7(4). 385–396. 9 indexed citations
16.
García‐Roselló, Emilio, Cástor Guisande, Ana Manjarrés‐Hernández, et al.. (2014). Can we derive macroecological patterns from primary Global Biodiversity Information Facility data?. Global Ecology and Biogeography. 24(3). 335–347. 101 indexed citations
17.
García‐Roselló, Emilio, Cástor Guisande, Juergen Heine, et al.. (2014). Using modestr to download, import and clean species distribution records. Methods in Ecology and Evolution. 5(7). 708–713. 38 indexed citations
18.
Pelayo‐Villamil, Patricia, Cástor Guisande, Richard P. Vari, et al.. (2014). Global diversity patterns of freshwater fishes – potential victims of their own success. Diversity and Distributions. 21(3). 345–356. 54 indexed citations
19.
Guisande, Cástor, Bernardo Patti, Antonio Vaamonde Liste, et al.. (2013). Factors affecting species richness of marine elasmobranchs. Biodiversity and Conservation. 22(8). 1703–1714. 19 indexed citations
20.
García‐Roselló, Emilio, et al.. (2011). Visual NNet: An Educational ANN's Simulation Environment Reusing Matlab Neural Networks Toolbox. Informatics in Education. 10(2). 225–232. 2 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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