Roberto Novella‐Fernandez
- Ecological Modeling top 2%
- Ecology top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Genetics
- Nature and Landscape Conservation top 10%
- Co-authors
- Orly RazgourCarlos IbáñezJavier JusteAntton AlberdiBrenna R. ForesterSébastien J. PuechmailleMichaël BekaertStéphanie Manel
- Topics
- Species Distribution and Climate Change (7 papers)Plant and animal studies (4 papers)Bat Biology and Ecology Studies (4 papers)
- Cited by
- Ecological ModelingEcology, Evolution, Behavior and SystematicsNature and Landscape Conservation
- Partner nations
- United KingdomSpainGermany
In The Last Decade
Roberto Novella‐Fernandez
9 papers receiving 432 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Ecological Modeling 207
- Ecology 191
- Ecology, Evolution, Behavior and Systematics 170
- Genetics 164
- Nature and Landscape Conservation 91
Countries citing papers authored by Roberto Novella‐Fernandez
This map shows the geographic impact of Roberto Novella‐Fernandez'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 Roberto Novella‐Fernandez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Novella‐Fernandez more than expected).
Fields of papers citing papers by Roberto Novella‐Fernandez
This network shows the impact of papers produced by Roberto Novella‐Fernandez. 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 Roberto Novella‐Fernandez. The network helps show where Roberto Novella‐Fernandez may publish in the future.
Co-authorship network of co-authors of Roberto Novella‐Fernandez
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Novella‐Fernandez. A scholar is included among the top collaborators of Roberto Novella‐Fernandez 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 Roberto Novella‐Fernandez. Roberto Novella‐Fernandez 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 | 6 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 12 | |
| 6 | 48 | |
| 7 | 18 | |
| 8 | 18 | |
| 9 | Considering adaptive genetic variation in climate change vulnerability assessment reduces species range loss projectionsbreakdown → | 317 |
| 10 | 1 |
About Roberto Novella‐Fernandez
Roberto Novella‐Fernandez is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation, having authored 10 papers that have together received 434 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (7 papers), Plant and animal studies (4 papers) and Bat Biology and Ecology Studies (4 papers). The work is most often cited by research in Ecological Modeling (207 citations), Ecology, Evolution, Behavior and Systematics (170 citations) and Nature and Landscape Conservation (91 citations). Roberto Novella‐Fernandez has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include Orly Razgour, Carlos Ibáñez, Javier Juste, Antton Alberdi, Brenna R. Forester, Sébastien J. Puechmaille, Michaël Bekaert, Stéphanie Manel, John B. Taggart and Xavier Arnán. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.