Federico Riva

1.9k total citations
52 papers, 1.0k citations indexed

About

Federico Riva is a scholar working on Nature and Landscape Conservation, Ecological Modeling and Global and Planetary Change. According to data from OpenAlex, Federico Riva has authored 52 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nature and Landscape Conservation, 21 papers in Ecological Modeling and 19 papers in Global and Planetary Change. Recurrent topics in Federico Riva's work include Ecology and Vegetation Dynamics Studies (23 papers), Species Distribution and Climate Change (21 papers) and Plant and animal studies (14 papers). Federico Riva is often cited by papers focused on Ecology and Vegetation Dynamics Studies (23 papers), Species Distribution and Climate Change (21 papers) and Plant and animal studies (14 papers). Federico Riva collaborates with scholars based in Canada, Italy and Netherlands. Federico Riva's co-authors include Rita Stagni, Lenore Fahrig, Scott E. Nielsen, Maria Cristina Bisi, John Acorn, Jaap H. van Dieën, Mirjam Pijnappels, Simona Bonelli, Stefano Mammola and Jaime Pinzón and has published in prestigious journals such as Nature Communications, PLoS ONE and Trends in Ecology & Evolution.

In The Last Decade

Federico Riva

47 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Riva Canada 19 330 312 291 230 193 52 1.0k
Noëlle Bru France 17 252 0.8× 276 0.9× 170 0.6× 54 0.2× 44 0.2× 50 736
David Álvarez Spain 23 713 2.2× 688 2.2× 559 1.9× 15 0.1× 575 3.0× 66 1.9k
Tanaka Kenta Japan 21 266 0.8× 250 0.8× 467 1.6× 15 0.1× 552 2.9× 77 1.7k
Jeffrey E. Herrick United States 17 239 0.7× 129 0.4× 182 0.6× 14 0.1× 142 0.7× 41 1.0k
Ola Svensson Sweden 25 461 1.4× 287 0.9× 469 1.6× 11 0.0× 502 2.6× 77 2.0k
Peter Marshall Canada 23 456 1.4× 534 1.7× 801 2.8× 27 0.1× 33 0.2× 75 1.6k
M. L. Pollock United States 17 109 0.3× 56 0.2× 125 0.4× 49 0.2× 48 0.2× 55 1.3k
Steven G. Nelson United States 18 373 1.1× 211 0.7× 98 0.3× 154 0.7× 21 0.1× 41 1.8k
Yefeng Yang Australia 18 185 0.6× 156 0.5× 134 0.5× 5 0.0× 214 1.1× 72 1.2k
Russell Main United States 17 784 2.4× 382 1.2× 234 0.8× 6 0.0× 81 0.4× 43 1.3k

Countries citing papers authored by Federico Riva

Since Specialization
Citations

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

Fields of papers citing papers by Federico Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Riva

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Riva. A scholar is included among the top collaborators of Federico Riva 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 Federico Riva. Federico Riva 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.
Guisan, Antoine, Mathieu Chevalier, Antoine Adde, et al.. (2025). Spatially nested species distribution models (N‐ SDM ): An effective tool to overcome niche truncation for more robust inference and projections. Journal of Ecology. 113(7). 1588–1605. 6 indexed citations
2.
Deane, David C. & Federico Riva. (2025). Time and matrix quality increase the relative habitat value of smaller patches in fragmented landscapes. Journal of Applied Ecology. 62(4). 958–969. 1 indexed citations
3.
4.
Riva, Federico, Carmen Galán‐Acedo, Amanda E. Martin, & Lenore Fahrig. (2025). Why we should not assume that habitat fragmentation is generally bad for restoration: a reply to Watts and Hughes (2024). Restoration Ecology. 33(3).
5.
West, Thales A. P., Philippe Delacote, Philip M. Fearnside, et al.. (2025). Demystifying the Romanticized Narratives About Carbon Credits From Voluntary Forest Conservation. Global Change Biology. 31(10). e70527–e70527.
6.
Riva, Federico, et al.. (2025). A nature tourism and citizen science alliance. BioScience. 75(5). 358–361. 1 indexed citations
7.
Riva, Federico, et al.. (2024). On the emergence of ecosystem decay: A critical assessment of patch area effects across spatial scales. Biological Conservation. 296. 110674–110674. 4 indexed citations
8.
Riva, Federico, et al.. (2024). Environmental performance of a metal-supported protonic ceramic cell and an electrolyte-supported solid oxide cell for steam electrolysis. International Journal of Hydrogen Energy. 92. 1284–1297. 2 indexed citations
9.
Riva, Federico, et al.. (2024). Marine fishes experiencing high-velocity range shifts may not be climate change winners. Nature Ecology & Evolution. 8(5). 936–946. 10 indexed citations
10.
Riva, Federico, et al.. (2024). Principles for area‐based biodiversity conservation. Ecology Letters. 27(6). e14459–e14459. 16 indexed citations
11.
Bonelli, Simona, et al.. (2024). Diverging sub-fields in functional ecology. Frontiers in Ecology and Evolution. 12. 1 indexed citations
12.
Riva, Federico, Carmen Galán‐Acedo, Petr Keil, et al.. (2024). Incorporating effects of habitat patches into species distribution models. Journal of Ecology. 112(10). 2162–2182. 6 indexed citations
13.
Riva, Federico & Lenore Fahrig. (2023). Obstruction of biodiversity conservation by minimum patch size criteria. Conservation Biology. 37(5). e14092–e14092. 14 indexed citations
14.
Usui, Takuji, David Lerner, Amy L. Angert, et al.. (2023). The evolution of plasticity at geographic range edges. Trends in Ecology & Evolution. 38(9). 831–842. 18 indexed citations
15.
16.
Riva, Federico, Caio Graco‐Roza, Gergana N. Daskalova, et al.. (2023). Toward a cohesive understanding of ecological complexity. Science Advances. 9(25). eabq4207–eabq4207. 22 indexed citations
17.
Riva, Federico, Francesca Barbero, Emilio Balletto, & Simona Bonelli. (2023). Combining environmental niche models, multi‐grain analyses, and species traits identifies pervasive effects of land use on butterfly biodiversity across Italy. Global Change Biology. 29(7). 1715–1728. 19 indexed citations
18.
Riva, Federico, Maria Cristina Bisi, & Rita Stagni. (2014). Gait variability and stability measures: Minimum number of strides and within-session reliability. Computers in Biology and Medicine. 50. 9–13. 105 indexed citations
19.
Riva, Federico, et al.. (2013). Estimating fall risk with inertial sensors using gait stability measures that do not require step detection. Gait & Posture. 38(2). 170–174. 111 indexed citations
20.
Riva, Federico, Maria Cristina Bisi, & Rita Stagni. (2013). Influence of Input Parameters on Dynamic Orbital Stability of Walking: In-Silico and Experimental Evaluation. PLoS ONE. 8(11). e80878–e80878. 1 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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