Gerard Talavera
- Molecular Biology top 5%
- Ecology, Evolution, Behavior and Systematics top 0.2%
- Genetics top 0.5%
- Ecology top 1%
- Plant Science top 2%
- Co-authors
- José CastresanaRoger VilaVlad DincăVladimir A. LukhtanovNaomi E. PierceLeonardo DapportoDavid J. LohmanMattia Menchetti
- Topics
- Plant and animal studies (42 papers)Lepidoptera: Biology and Taxonomy (34 papers)Species Distribution and Climate Change (21 papers)
- Partner nations
- SpainUnited StatesCanada
In The Last Decade
Gerard Talavera
56 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 2.4k
- Ecology, Evolution, Behavior and Systematics 2.2k
- Genetics 2.1k
- Ecology 1.6k
- Plant Science 1.3k
Countries citing papers authored by Gerard Talavera
This map shows the geographic impact of Gerard Talavera'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 Gerard Talavera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard Talavera more than expected).
Fields of papers citing papers by Gerard Talavera
This network shows the impact of papers produced by Gerard Talavera. 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 Gerard Talavera. The network helps show where Gerard Talavera may publish in the future.
Co-authorship network of co-authors of Gerard Talavera
This figure shows the co-authorship network connecting the top 25 collaborators of Gerard Talavera. A scholar is included among the top collaborators of Gerard Talavera 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 Gerard Talavera. Gerard Talavera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 14 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 28 | |
| 14 | 8 | |
| 15 | 63 | |
| 16 | 1 | |
| 17 | 106 | |
| 18 | 59 | |
| 19 | 98 | |
| 20 | Improvement of Phylogenies after Removing Divergent and Ambiguously Aligned Blocks from Protein Sequence Alignmentsbreakdown → | 4203 |
About Gerard Talavera
Gerard Talavera is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 61 papers that have together received 6.4k indexed citations. Recurring topics across this work include Plant and animal studies (42 papers), Lepidoptera: Biology and Taxonomy (34 papers) and Species Distribution and Climate Change (21 papers). The work is most often cited by research in Ecological Modeling (544 citations), Ecology, Evolution, Behavior and Systematics (2.2k citations) and Genetics (2.1k citations). Gerard Talavera has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include José Castresana, Roger Vila, Vlad Dincă, Vladimir A. Lukhtanov, Naomi E. Pierce, Leonardo Dapporto, David J. Lohman, Mattia Menchetti, Víctor Soria‐Carrasco and Javier Igea. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.
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.