Giovanni Rapacciuolo

3.2k total citations
20 papers, 694 citations indexed

About

Giovanni Rapacciuolo is a scholar working on Ecological Modeling, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Giovanni Rapacciuolo has authored 20 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecological Modeling, 12 papers in Ecology and 11 papers in Nature and Landscape Conservation. Recurrent topics in Giovanni Rapacciuolo's work include Species Distribution and Climate Change (13 papers), Ecology and Vegetation Dynamics Studies (10 papers) and Wildlife Ecology and Conservation (9 papers). Giovanni Rapacciuolo is often cited by papers focused on Species Distribution and Climate Change (13 papers), Ecology and Vegetation Dynamics Studies (10 papers) and Wildlife Ecology and Conservation (9 papers). Giovanni Rapacciuolo collaborates with scholars based in United States, United Kingdom and Switzerland. Giovanni Rapacciuolo's co-authors include David B. Roy, Simon Gillings, Andy Purvis, Bruce E. Young, Jessica L. Blois, Gabriel C. Costa, Thomas M. Brooks, Catherine H. Graham, Volker C. Radeloff and Genevieve K. Walden and has published in prestigious journals such as PLoS ONE, Remote Sensing of Environment and Global Change Biology.

In The Last Decade

Giovanni Rapacciuolo

20 papers receiving 679 citations

Peers

Giovanni Rapacciuolo
Giovanni Rapacciuolo
Citations per year, relative to Giovanni Rapacciuolo Giovanni Rapacciuolo (= 1×) peers Fábio Suzart de Albuquerque

Countries citing papers authored by Giovanni Rapacciuolo

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Rapacciuolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Rapacciuolo

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Rapacciuolo. A scholar is included among the top collaborators of Giovanni Rapacciuolo 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 Giovanni Rapacciuolo. Giovanni Rapacciuolo 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.
Hamilton, Healy, et al.. (2024). A landscape conservation perspective of state Species of Greatest Conservation Need. Conservation Science and Practice. 6(10). 1 indexed citations
2.
Esposito, Lauren A., Marymegan Daly, Matthew K. Fujita, et al.. (2022). A new framework for assessing the contributions of professionals in the natural sciences. 1(1). 3 indexed citations
3.
Santini, Luca, Laura H. Antão, Martin Jung, et al.. (2021). The interface between Macroecology and Conservation: existing links and untapped opportunities. Frontiers of Biogeography. 13(4). 14 indexed citations
4.
Rapacciuolo, Giovanni, Alison N. Young, & Rebecca F. Johnson. (2021). Deriving indicators of biodiversity change from unstructured community‐contributed data. Oikos. 130(8). 1225–1239. 23 indexed citations
5.
Rapacciuolo, Giovanni & Jessica L. Blois. (2019). Understanding ecological change across large spatial, temporal and taxonomic scales: integrating data and methods in light of theory. Ecography. 42(7). 1247–1266. 38 indexed citations
6.
Radeloff, Volker C., Maxim Dubinin, Nicholas C. Coops, et al.. (2019). The Dynamic Habitat Indices (DHIs) from MODIS and global biodiversity. Remote Sensing of Environment. 222. 204–214. 96 indexed citations
7.
Rapacciuolo, Giovanni, J. Michael Beman, Lauren M. Schiebelhut, & Michael N Dawson. (2019). Microbes and macro-invertebrates show parallel β-diversity but contrasting α-diversity patterns in a marine natural experiment. Proceedings of the Royal Society B Biological Sciences. 286(1912). 20190999–20190999. 15 indexed citations
8.
Rapacciuolo, Giovanni, Catherine H. Graham, Julie Marin, et al.. (2018). Species diversity as a surrogate for conservation of phylogenetic and functional diversity in terrestrial vertebrates across the Americas. Nature Ecology & Evolution. 3(1). 53–61. 42 indexed citations
9.
Rapacciuolo, Giovanni. (2018). Strengthening the contribution of macroecological models to conservation practice. Global Ecology and Biogeography. 28(1). 54–60. 21 indexed citations
10.
Marin, Julie, Giovanni Rapacciuolo, Gabriel C. Costa, et al.. (2018). Evolutionary time drives global tetrapod diversity. Proceedings of the Royal Society B Biological Sciences. 285(1872). 20172378–20172378. 27 indexed citations
11.
Young, Bruce E., et al.. (2017). Are pollinating hawk moths declining in the Northeastern United States? An analysis of collection records. PLoS ONE. 12(10). e0185683–e0185683. 21 indexed citations
12.
Rapacciuolo, Giovanni, Julie Marin, Gabriel C. Costa, et al.. (2017). The signature of human pressure history on the biogeography of body mass in tetrapods. Global Ecology and Biogeography. 26(9). 1022–1034. 26 indexed citations
13.
Zeilinger, Adam R., et al.. (2017). Museum specimen data reveal emergence of a plant disease may be linked to increases in the insect vector population. Ecological Applications. 27(6). 1827–1837. 11 indexed citations
14.
Rapacciuolo, Giovanni, Joan Damerow, Adam R. Zeilinger, & Vincent H. Resh. (2017). Detecting long-term occupancy changes in Californian odonates from natural history and citizen science records. Biodiversity and Conservation. 26(12). 2933–2949. 21 indexed citations
15.
Pearse, William D., Mark W. Chase, Michael J. Crawley, et al.. (2015). Beyond the EDGE with EDAM: Prioritising British Plant Species According to Evolutionary Distinctiveness, and Accuracy and Magnitude of Decline. PLoS ONE. 10(5). e0126524–e0126524. 10 indexed citations
16.
Rapacciuolo, Giovanni, David B. Roy, Simon Gillings, & Andy Purvis. (2014). Temporal validation plots: quantifying how well correlative species distribution models predict species' range changes over time. Methods in Ecology and Evolution. 5(5). 407–420. 15 indexed citations
17.
Rapacciuolo, Giovanni, Sean P. Maher, Adam C. Schneider, et al.. (2014). Beyond a warming fingerprint: individualistic biogeographic responses to heterogeneous climate change in California. Global Change Biology. 20(9). 2841–2855. 148 indexed citations
18.
Powney, Gary D., Giovanni Rapacciuolo, Christopher Preston, Andy Purvis, & David B. Roy. (2013). A phylogenetically-informed trait-based analysis of range change in the vascular plant flora of Britain. Biodiversity and Conservation. 23(1). 171–185. 23 indexed citations
19.
Rapacciuolo, Giovanni, David B. Roy, Simon Gillings, et al.. (2012). Climatic Associations of British Species Distributions Show Good Transferability in Time but Low Predictive Accuracy for Range Change. PLoS ONE. 7(7). e40212–e40212. 67 indexed citations
20.
Oliver, Tom H., Simon Gillings, Marco Girardello, et al.. (2012). Population density but not stability can be predicted from species distribution models. Journal of Applied Ecology. 49(3). 581–590. 72 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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