Leonardo Frid

1.2k total citations
32 papers, 839 citations indexed

About

Leonardo Frid is a scholar working on Nature and Landscape Conservation, Ecology and Global and Planetary Change. According to data from OpenAlex, Leonardo Frid has authored 32 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Nature and Landscape Conservation, 17 papers in Ecology and 15 papers in Global and Planetary Change. Recurrent topics in Leonardo Frid's work include Ecology and Vegetation Dynamics Studies (22 papers), Rangeland and Wildlife Management (13 papers) and Fire effects on ecosystems (9 papers). Leonardo Frid is often cited by papers focused on Ecology and Vegetation Dynamics Studies (22 papers), Rangeland and Wildlife Management (13 papers) and Fire effects on ecosystems (9 papers). Leonardo Frid collaborates with scholars based in United States, Canada and Argentina. Leonardo Frid's co-authors include Judith H. Myers, Colin J. Daniel, Benjamin M. Sleeter, Marie‐Josée Fortin, Louis Provencher, Tara A. Forbis, John Wilmshurst, Brian W. Miller, Zhiliang Zhu and Roy Turkington and has published in prestigious journals such as Scientific Reports, Biological Conservation and Ecological Modelling.

In The Last Decade

Leonardo Frid

31 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonardo Frid United States 16 358 323 304 286 190 32 839
Rosina Soler Argentina 18 410 1.1× 313 1.0× 197 0.6× 457 1.6× 137 0.7× 65 878
Sonja N. Oswalt United States 13 524 1.5× 379 1.2× 185 0.6× 478 1.7× 132 0.7× 41 942
Rémi Duflot Finland 15 303 0.8× 281 0.9× 176 0.6× 276 1.0× 90 0.5× 27 691
Sybille Haeussler Canada 14 549 1.5× 316 1.0× 298 1.0× 562 2.0× 114 0.6× 21 940
Paul C. Rogers United States 17 451 1.3× 313 1.0× 157 0.5× 410 1.4× 123 0.6× 58 795
Yoshinobu Kusumoto Japan 15 244 0.7× 254 0.8× 110 0.4× 284 1.0× 124 0.7× 38 678
Aude Ernoult France 21 369 1.0× 463 1.4× 177 0.6× 529 1.8× 158 0.8× 37 1000
Jan Van Uytvanck Belgium 11 327 0.9× 183 0.6× 134 0.4× 350 1.2× 183 1.0× 17 727
Meredith W. Cornett United States 17 468 1.3× 247 0.8× 168 0.6× 460 1.6× 110 0.6× 27 765
Didier Le Cœur France 11 243 0.7× 308 1.0× 141 0.5× 471 1.6× 222 1.2× 19 814

Countries citing papers authored by Leonardo Frid

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Frid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Frid

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Frid. A scholar is included among the top collaborators of Leonardo Frid 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 Leonardo Frid. Leonardo Frid 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.
Sleeter, Benjamin M., Leonardo Frid, Bronwyn Rayfield, et al.. (2022). Operational assessment tool for forest carbon dynamics for the United States: a new spatially explicit approach linking the LUCAS and CBM-CFS3 models. Carbon Balance and Management. 17(1). 1–1. 20 indexed citations
2.
Miller, Brian W. & Leonardo Frid. (2021). A new approach for representing agent-environment feedbacks: coupled agent-based and state-and-transition simulation models. Landscape Ecology. 37(1). 43–58. 2 indexed citations
3.
Norris, Andrea R., Leonardo Frid, Andrew Robinson, et al.. (2021). Forecasting the Cumulative Effects of Multiple Stressors on Breeding Habitat for a Steeply Declining Aerial Insectivorous Songbird, the Olive-sided Flycatcher (Contopus cooperi). Frontiers in Ecology and Evolution. 9. 7 indexed citations
4.
Jarnevich, Catherine S., et al.. (2020). Assessing ecological uncertainty and simulation model sensitivity to evaluate an invasive plant species’ potential impacts to the landscape. Scientific Reports. 10(1). 19069–19069. 8 indexed citations
5.
Jarnevich, Catherine S., et al.. (2019). Developing an expert elicited simulation model to evaluate invasive species and fire management alternatives. Ecosphere. 10(5). 16 indexed citations
6.
Ford, Paulette L., Matthew C. Reeves, & Leonardo Frid. (2018). A Tool for Projecting Rangeland Vegetation Response to Management and Climate. Rangelands. 41(1). 49–60. 9 indexed citations
7.
Daniel, Colin J., Leonardo Frid, Benjamin M. Sleeter, & Marie‐Josée Fortin. (2016). State‐and‐transition simulation models: a framework for forecasting landscape change. Methods in Ecology and Evolution. 7(11). 1413–1423. 90 indexed citations
8.
Reeves, Matt C. & Leonardo Frid. (2016). The Rangeland Vegetation Simulator: A user-driven system for quantifying production, succession, disturbance and fuels in non-forest environments. 1062–1063. 2 indexed citations
9.
Miller, Brian W., et al.. (2015). Combining state-and-transition simulations and species distribution models to anticipate the effects of climate change. AIMS environmental science. 2(2). 400–426. 13 indexed citations
10.
Sleeter, Benjamin M., Jinxun Liu, Colin J. Daniel, Leonardo Frid, & Zhiliang Zhu. (2015). An integrated approach to modeling changes in land use, land cover, and disturbance and their impact on ecosystem carbon dynamics: a case study in the Sierra Nevada Mountains of California. AIMS environmental science. 2(3). 577–606. 26 indexed citations
11.
Jarnevich, Catherine S., et al.. (2015). Simulating long-term effectiveness and efficiency of management scenarios for an invasive grass. AIMS environmental science. 2(2). 427–447. 9 indexed citations
12.
Frid, Leonardo, et al.. (2013). Evaluating Alternative Weed Management Strategies for Three Montana Landscapes. Invasive Plant Science and Management. 6(1). 48–59. 16 indexed citations
13.
Frid, Leonardo, Tracy R. Holcombe, Jeffrey T. Morisette, et al.. (2013). Using State-and-Transition Modeling to Account for Imperfect Detection in Invasive Species Management. Invasive Plant Science and Management. 6(1). 36–47. 24 indexed citations
14.
Frid, Leonardo, et al.. (2012). A multi-scale framework for evaluating the benefits and costs of alternative management strategies against invasive plants. Journal of Environmental Planning and Management. 56(3). 412–434. 4 indexed citations
15.
Frid, Leonardo & John Wilmshurst. (2009). Decision Analysis to Evaluate Control Strategies for Crested Wheatgrass (Agropyron cristatum) in Grasslands National Park of Canada. Invasive Plant Science and Management. 2(4). 324–336. 20 indexed citations
16.
Wilmshurst, John & Leonardo Frid. (2007). Decision analysis to evaluate control strategies for crested wheatgrass in Grasslands National Park of Canada. UKnowledge (University of Kentucky). 4 indexed citations
17.
Martin, B., et al.. (2007). Decision Analysis of Alternative Invasive Weed Management Strategies for Three Montana Landscapes. 5 indexed citations
18.
Forbis, Tara A., et al.. (2006). Great Basin Land Management Planning Using Ecological Modeling. Environmental Management. 38(1). 62–83. 46 indexed citations
19.
Frid, Leonardo & Judith H. Myers. (2002). Thermal ecology of western tent caterpillars Malacosoma californicum pluviale and infection by nucleopolyhedrovirus. Ecological Entomology. 27(6). 665–673. 32 indexed citations
20.

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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