Luca Cornetti
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
-
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
Papers in ⓘ
-
- Species Distribution and Climate Change 7
- Genetics 17
- Genetic diversity and population structure 13
- Evolution and Genetic Dynamics 4
- Co-authors
- Cristiano Vernesi (8 shared papers)Dieter Ebert (4 shared papers)Peter D. Fields (4 shared papers)Kay Van Damme (2 shared papers)Gentile Francesco Ficetola (3 shared papers)Barbara Tschirren (4 shared papers)Sean Hoban (2 shared papers)Luís Valente (1 shared paper)
- Journals
- Biological Journal of the Linnean Society (4 papers)Amphibia-Reptilia (2 papers)Molecular Ecology (2 papers)Conservation Genetics (1 paper)Heredity (1 paper)
- Partner nations
- SwitzerlandItalyUnited Kingdom
In The Last Decade
Luca Cornetti
21 papers receiving 305 citations
Peers
Comparison fields: 5 of 55
- Ecological Modeling 46
- Genetics 161
- Ecology 106
- Nature and Landscape Conservation 45
- Environmental Chemistry 36
Countries citing papers authored by Luca Cornetti
This map shows the geographic impact of Luca Cornetti'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 Luca Cornetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Cornetti more than expected).
Fields of papers citing papers by Luca Cornetti
This network shows the impact of papers produced by Luca Cornetti. 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 Luca Cornetti. The network helps show where Luca Cornetti may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Cornetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 43 | |
| 2 | 2015 | 40 | |
| 3 | 2015 | 28 | |
| 4 | 2014 | 26 | |
| 5 | 2015 | 25 | |
| 6 | 2021 | 22 | |
| 7 | 2017 | 17 | |
| 8 | 2018 | 15 | |
| 9 | 2014 | 14 | |
| 10 | 2024 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2016 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2015 | 7 | |
| 17 | 2017 | 4 | |
| 18 | 2018 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2022 | 2 |
About Luca Cornetti
Luca Cornetti is a scholar working on Ecological Modeling, Genetics, Parasitology, Global and Planetary Change and Ecology, having authored 22 papers that have together received 310 indexed citations. Recurring topics across this work include Genetic diversity and population structure (13 papers), Species Distribution and Climate Change (7 papers), Amphibian and Reptile Biology (7 papers), Animal Ecology and Behavior Studies (4 papers), Genomics and Phylogenetic Studies (4 papers), Evolution and Genetic Dynamics (4 papers), Vector-borne infectious diseases (3 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in Ecological Modeling (46 citations), Genetics (161 citations), Ecology (106 citations), Nature and Landscape Conservation (45 citations) and Environmental Chemistry (36 citations). Luca Cornetti has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Cristiano Vernesi, Dieter Ebert, Peter D. Fields, Kay Van Damme, Gentile Francesco Ficetola, Barbara Tschirren, Sean Hoban, Luís Valente, Vincent Savolainen and Luke T. Dunning. Their work appears in journals such as Biological Journal of the Linnean Society, Amphibia-Reptilia, Molecular Ecology, Conservation Genetics and Heredity.
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.