Mario Caffi
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Ecology 6
- Avian ecology and behavior 5
- Wildlife Ecology and Conservation 3
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- Animal Behavior and Reproduction 2
- Co-authors
- Diego Rubolini (5 shared papers)Gentile Francesco Ficetola (1 shared paper)Silvia Mercurio (1 shared paper)Marco Picone (1 shared paper)Mattia Brambilla (1 shared paper)Emiliano Mori (1 shared paper)Raoul Manenti (1 shared paper)Nicola Saino (4 shared papers)
- Journals
- Ethology Ecology & Evolution (1 paper)Animal Behaviour (1 paper)Biological Conservation (1 paper)Bird Study (1 paper)Journal of Avian Biology (1 paper)
- Partner nations
- ItalySwitzerlandSpain
In The Last Decade
Mario Caffi
7 papers receiving 308 citations
Peers
Comparison fields: 5 of 64
- Ecological Modeling 70
- Modeling and Simulation 37
- Ecology 187
- Developmental Biology 11
- Global and Planetary Change 82
Countries citing papers authored by Mario Caffi
This map shows the geographic impact of Mario Caffi'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 Mario Caffi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Caffi more than expected).
Fields of papers citing papers by Mario Caffi
This network shows the impact of papers produced by Mario Caffi. 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 Mario Caffi. The network helps show where Mario Caffi may publish in the future.
Co-authors
The 23 scholars most cited alongside Mario Caffi, 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 | 2020 | 186 | |
| 2 | 2007 | 46 | |
| 3 | 2017 | 41 | |
| 4 | 2014 | 18 | |
| 5 | 2016 | 17 | |
| 6 | 2018 | 10 | |
| 7 | BIOLOGIA RIPRODUTTIVA DI UNA POPOLAZIONE DI STORNO Sturnus vulgaris NIDIFICANTE IN UNA «COLOMBAIA» DELLA LOMBARDIA | 1992 | 1 |
About Mario Caffi
Mario Caffi is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics, Ecological Modeling, Molecular Biology and Nature and Landscape Conservation, having authored 7 papers that have together received 319 indexed citations. Recurring topics across this work include Avian ecology and behavior (5 papers), Wildlife Ecology and Conservation (3 papers), Species Distribution and Climate Change (2 papers), Animal Behavior and Reproduction (2 papers), Genomics and Phylogenetic Studies (1 paper), Fish Ecology and Management Studies (1 paper), Climate variability and models (1 paper) and Human-Animal Interaction Studies (1 paper). The work is most often cited by research in Ecological Modeling (70 citations), Modeling and Simulation (37 citations), Ecology (187 citations), Developmental Biology (11 citations) and Global and Planetary Change (82 citations). Mario Caffi has collaborated with scholars based in Italy, Switzerland and Spain. Frequent co-authors include Diego Rubolini, Gentile Francesco Ficetola, Silvia Mercurio, Marco Picone, Mattia Brambilla, Emiliano Mori, Raoul Manenti, Nicola Saino, Roberto Ambrosini and Stefano Armiraglio. Their work appears in journals such as Ethology Ecology & Evolution, Animal Behaviour, Biological Conservation, Bird Study and Journal of Avian Biology.
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.