Mario Caffi

422 citations
7 papers · 311 · h-index 6

Impact in

Papers in

Mario Caffi

7 papers receiving 299 citations

Peers

Mario Caffi
Comparison fields: 5 of 61
  • Ecological Modeling 72
  • Modeling and Simulation 37
  • Ecology 186
  • Developmental Biology 11
  • Global and Planetary Change 81
Replace Laxman Khanal with:
Laxman Khanal Nepal
Nicolás Galvéz Chile
Gabriel Gargallo Spain
Adia R. Sovie United States
Joe Davis Australia
Joana Ribeiro Portugal
Voon-Ching Lim Malaysia
Julia van Velden South Africa
João Fabrício Mota Rodrigues Brazil
Luke C. Evans United Kingdom
Mario Caffi relative to Laxman Khanal Nepal Laxman Khanal's profile →
Citations per field
00.5×3.7×
Laxman Khanal · 1×
Citations per year

Countries citing papers authored by Mario Caffi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mario Caffi Line = papers co-authored together Mario Caffi links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2020182
2 200745
3 201741
4 201418
5 201617
6 20187
7
BIOLOGIA RIPRODUTTIVA DI UNA POPOLAZIONE DI STORNO Sturnus vulgaris NIDIFICANTE IN UNA «COLOMBAIA» DELLA LOMBARDIA
19921

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 311 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), Syphilis Diagnosis and Treatment (1 paper), Insect-Plant Interactions and Control (1 paper), Fish Ecology and Management Studies (1 paper) and Animal Ecology and Behavior Studies (1 paper). The work is most often cited by research in Ecological Modeling (72 citations), Modeling and Simulation (37 citations), Ecology (186 citations), Developmental Biology (11 citations) and Global and Planetary Change (81 citations). Mario Caffi has collaborated with scholars based in Italy, Sweden and Spain. Frequent co-authors include Diego Rubolini, Marco Picone, Emiliano Mori, Silvia Mercurio, Raoul Manenti, Gentile Francesco Ficetola, Mattia Brambilla, Roberto Ambrosini, Nicola Saino and Stefano Armiraglio. Their work appears in journals such as Bird Study, Ethology Ecology & Evolution, Biological Conservation, International Journal of Biometeorology and Animal Behaviour.

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.

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