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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- Amphibian and Reptile Biology 7
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- Species Distribution and Climate Change 3
- Co-authors
- Ivan Prates (5 shared papers)Miguel Tréfaut Rodrigues (5 shared papers)Ana Carolina Carnaval (3 shared papers)Matthew K. Fujita (4 shared papers)Adam D. Leaché (2 shared papers)Daniel M. Portik (2 shared papers)Marius Burger (2 shared papers)Mark‐Oliver Rödel (2 shared papers)
- Journals
- Molecular Ecology (3 papers)Proceedings of the Royal Society B Biological Sciences (1 paper)Heredity (1 paper)Zoological Journal of the Linnean Society (1 paper)Molecular Phylogenetics and Evolution (1 paper)
- Partner nations
- United StatesBrazilGermany
In The Last Decade
Danielle Rivera
9 papers receiving 552 citations
Peers
Comparison fields: 5 of 41
- Ecological Modeling 199
- Nature and Landscape Conservation 169
- Paleontology 81
- Ecology, Evolution, Behavior and Systematics 192
- Genetics 267
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 | 258 | |
| 2 | 2017 | 167 | |
| 3 | 2016 | 70 | |
| 4 | 2019 | 34 | |
| 5 | 2021 | 16 | |
| 6 | 2019 | 6 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2022 | 1 |
About Danielle Rivera
Danielle Rivera is a scholar working on Global and Planetary Change, Ecological Modeling, Nature and Landscape Conservation, Paleontology and Genetics, having authored 9 papers that have together received 554 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), Genomics and Phylogenetic Studies (2 papers), Ecology and Vegetation Dynamics Studies (2 papers), Animal Behavior and Reproduction (2 papers), Evolution and Paleontology Studies (1 paper) and Bat Biology and Ecology Studies (1 paper). The work is most often cited by research in Ecological Modeling (199 citations), Nature and Landscape Conservation (169 citations), Paleontology (81 citations), Ecology, Evolution, Behavior and Systematics (192 citations) and Genetics (267 citations). Danielle Rivera has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Ivan Prates, Miguel Tréfaut Rodrigues, Ana Carolina Carnaval, Matthew K. Fujita, Adam D. Leaché, Daniel M. Portik, Marius Burger, Mark‐Oliver Rödel, David C. Blackburn and Mareike Hirschfeld. Their work appears in journals such as Molecular Ecology, Proceedings of the Royal Society B Biological Sciences, Heredity, Zoological Journal of the Linnean Society and Molecular Phylogenetics and Evolution.
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.