Fernando Rivadavia
- Plant Science top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Molecular Biology
- Genetics
- Food Science
- Co-authors
- Andreas FleischmannPaulo Minatel GonellaMasahiro KatoMitsuyasu HasebeKatsuhiko KondoGünther HeublKai MüllerWenqin Wang
- Topics
- Plant and Biological Electrophysiology Studies (32 papers)Plant Diversity and Evolution (24 papers)Plant Parasitism and Resistance (9 papers)
- Partner nations
- BrazilGermanyUnited States
In The Last Decade
Fernando Rivadavia
31 papers receiving 409 citations
Peers
Comparison fields: 5 of 39
- Plant Science 314
- Ecology, Evolution, Behavior and Systematics 277
- Molecular Biology 143
- Genetics 33
- Food Science 27
Countries citing papers authored by Fernando Rivadavia
This map shows the geographic impact of Fernando Rivadavia'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 Rivadavia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Rivadavia more than expected).
Fields of papers citing papers by Fernando Rivadavia
This network shows the impact of papers produced by Fernando Rivadavia. 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 Rivadavia. The network helps show where Fernando Rivadavia may publish in the future.
Co-authorship network of co-authors of Fernando Rivadavia
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Rivadavia. A scholar is included among the top collaborators of Fernando Rivadavia 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 Fernando Rivadavia. Fernando Rivadavia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 18 | |
| 3 | 9 | |
| 4 | 55 | |
| 5 | 109 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | 23 | |
| 10 | A new species of sundew (Drosera, Droseraceae), with water-dispersed seed, from the floodplains of the northern Amazon basin, Brazil. | 7 |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 83 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 1 |
About Fernando Rivadavia
Fernando Rivadavia is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Food Science, having authored 35 papers that have together received 428 indexed citations. Recurring topics across this work include Plant and Biological Electrophysiology Studies (32 papers), Plant Diversity and Evolution (24 papers) and Plant Parasitism and Resistance (9 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (277 citations), Plant Science (314 citations) and Ecological Modeling (12 citations). Fernando Rivadavia has collaborated with scholars based in Brazil, Germany and United States. Frequent co-authors include Andreas Fleischmann, Paulo Minatel Gonella, Masahiro Kato, Mitsuyasu Hasebe, Katsuhiko Kondo, Günther Heubl, Kai Müller, Wenqin Wang, Eva M. Temsch and Aretuza Sousa. Their work appears in journals such as PLoS ONE, Annals of Botany and American Journal of Botany.
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.