Danielle Rivera
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
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- Ecology and Vegetation Dynamics Studies
Papers in ⓘ
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- Species Distribution and Climate Change 3
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- Amphibian and Reptile Biology 7
- Co-authors
- Miguel Tréfaut Rodrigues (5 shared papers)Ivan Prates (5 shared papers)Ana Carolina Carnaval (3 shared papers)Matthew K. Fujita (4 shared papers)Daniel M. Portik (2 shared papers)Marius Burger (2 shared papers)Adam D. Leaché (2 shared papers)Mark‐Oliver Rödel (2 shared papers)
- Journals
- Molecular Ecology (3 papers)Zoological Journal of the Linnean Society (1 paper)Molecular Phylogenetics and Evolution (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)Journal of Biogeography (1 paper)
- Partner nations
- United StatesBrazilSouth Africa
In The Last Decade
Danielle Rivera
7 papers receiving 497 citations
Peers
Comparison fields: 5 of 39
- Ecological Modeling 186
- Nature and Landscape Conservation 150
- Paleontology 75
- Ecology, Evolution, Behavior and Systematics 182
- Genetics 258
Countries citing papers authored by Danielle Rivera
This map shows the geographic impact of Danielle Rivera'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 Danielle Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Rivera more than expected).
Fields of papers citing papers by Danielle Rivera
This network shows the impact of papers produced by Danielle Rivera. 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 Danielle Rivera. The network helps show where Danielle Rivera may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Rivera, 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 | 2014 | 235 | |
| 2 | 2017 | 153 | |
| 3 | 2016 | 62 | |
| 4 | 2019 | 30 | |
| 5 | 2021 | 13 | |
| 6 | 2019 | 6 | |
| 7 | 2022 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 |
About Danielle Rivera
Danielle Rivera is a scholar working on Ecological Modeling, Global and Planetary Change, Paleontology, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 9 papers that have together received 500 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (7 papers), Genetic diversity and population structure (4 papers), Species Distribution and Climate Change (3 papers), Ecology and Vegetation Dynamics Studies (2 papers), Genomics and Phylogenetic Studies (2 papers), Animal Behavior and Reproduction (2 papers), Fish Biology and Ecology Studies (1 paper) and Fish biology, ecology, and behavior (1 paper). The work is most often cited by research in Ecological Modeling (186 citations), Nature and Landscape Conservation (150 citations), Paleontology (75 citations), Ecology, Evolution, Behavior and Systematics (182 citations) and Genetics (258 citations). Danielle Rivera has collaborated with scholars based in United States, Brazil and South Africa. Frequent co-authors include Miguel Tréfaut Rodrigues, Ivan Prates, Ana Carolina Carnaval, Matthew K. Fujita, Daniel M. Portik, Marius Burger, Adam D. Leaché, Mark‐Oliver Rödel, David C. Blackburn and Michael F. Barej. Their work appears in journals such as Molecular Ecology, Zoological Journal of the Linnean Society, Molecular Phylogenetics and Evolution, Proceedings of the Royal Society B Biological Sciences and Journal of Biogeography.
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.