Fernando Lima
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Ecology top 10%
- Wildlife Ecology and Conservation
- Wildlife-Road Interactions and Conservation
- Animal Ecology and Behavior Studies
Papers in
- Ecology 7
- Wildlife Ecology and Conservation 7
- Animal Ecology and Behavior Studies 1
-
- Primate Behavior and Ecology 2
- Co-authors
- Laury Cullen (3 shared papers)Alexandre Uezu (2 shared papers)Miriam Lúcia Lages Perilli (2 shared papers)Dênis A. Sana (2 shared papers)Sandra M. C. Cavalcanti (1 shared paper)Flávio Henrique Guimarães Rodrigues (1 shared paper)Jessica C. Stanton (1 shared paper)H. Reşi̇t Akçakaya (1 shared paper)
- Journals
- PLoS ONE (2 papers)Remote Sensing Applications Society and Environment (1 paper)Diversity and Distributions (1 paper)Oryx (1 paper)ACS ES&T Water (1 paper)
- Partner nations
- BrazilUnited StatesParaguay
In The Last Decade
Fernando Lima
9 papers receiving 164 citations
Peers
Comparison fields: 5 of 37
- Ecological Modeling 38
- Ecology 124
- Nature and Landscape Conservation 47
- Small Animals 16
- Ecology, Evolution, Behavior and Systematics 41
Countries citing papers authored by Fernando Lima
This map shows the geographic impact of Fernando Lima'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 Fernando Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Lima more than expected).
Fields of papers citing papers by Fernando Lima
This network shows the impact of papers produced by Fernando Lima. 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 Fernando Lima. The network helps show where Fernando Lima may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Lima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 48 | |
| 2 | 2013 | 34 | |
| 3 | 2016 | 29 | |
| 4 | 2016 | 26 | |
| 5 | 2011 | 20 | |
| 6 | 2025 | 6 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 1 | |
| 9 | 2024 | 1 |
About Fernando Lima
Fernando Lima is a scholar working on Ecology, Social Psychology, Nature and Landscape Conservation, Ecological Modeling and Genetics, having authored 9 papers that have together received 169 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (7 papers), Species Distribution and Climate Change (2 papers), Primate Behavior and Ecology (2 papers), Ecology and Vegetation Dynamics Studies (2 papers), Genetic and phenotypic traits in livestock (1 paper), Plant and animal studies (1 paper), Analytical chemistry methods development (1 paper) and Animal Ecology and Behavior Studies (1 paper). The work is most often cited by research in Ecological Modeling (38 citations), Ecology (124 citations), Nature and Landscape Conservation (47 citations), Small Animals (16 citations) and Ecology, Evolution, Behavior and Systematics (41 citations). Fernando Lima has collaborated with scholars based in Brazil, United States and Paraguay. Frequent co-authors include Laury Cullen, Alexandre Uezu, Miriam Lúcia Lages Perilli, Dênis A. Sana, Sandra M. C. Cavalcanti, Flávio Henrique Guimarães Rodrigues, Jessica C. Stanton, H. Reşi̇t Akçakaya, Érica Hasui and Milton Cézar Ribeiro. Their work appears in journals such as PLoS ONE, Remote Sensing Applications Society and Environment, Diversity and Distributions, Oryx and ACS ES&T Water.
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.