Fernando Spina

4.4k citations
83 papers · 2.5k · h-index 28

Impact in

    • Species Distribution and Climate Change
  • Ecology top 1%
    • Avian ecology and behavior
    • Wildlife Ecology and Conservation

Papers in

Fernando Spina

80 papers receiving 2.4k citations

Peers

Fernando Spina
Comparison fields: 5 of 93
  • Ecological Modeling 782
  • Ecology 1.9k
  • Parasitology 413
  • Ecology, Evolution, Behavior and Systematics 1.0k
  • Developmental Biology 109
Replace Juan F. Masello with:
Juan F. Masello Germany
Jesús T. García Spain
Ara Monadjem Eswatini
Lucas A. Wauters Italy
Juan A. Fargallo Spain
Robert M. Timm United States
Helena Godoy Bergallo Brazil
Jaime Potti Spain
Beat Naef‐Daenzer Switzerland
Cas Eikenaar Germany
Fernando Spina relative to Juan F. Masello Germany Juan F. Masello's profile →
Citations per field
00.5×
Juan F. Masello · 1×
Citations per year

Countries citing papers authored by Fernando Spina

Since Specialization
Citations

This map shows the geographic impact of Fernando Spina'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 Fernando Spina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Spina more than expected).

Fields of papers citing papers by Fernando Spina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Spina. 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 Fernando Spina. The network helps show where Fernando Spina may publish in the future.

Co-authors

The 25 scholars most cited alongside Fernando Spina, 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 Fernando Spina Line = papers co-authored together Fernando Spina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006396
2 2003226
3 2010148
4 2000135
5 200298
6 200780
7 200274
8 201565
9 201555
10 199752
11 200247
12 201947
13 201045
14 201143
15 199440
16 202040
17 200539
18 200939
19 200838
20 201636

About Fernando Spina

Fernando Spina is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics, Ecological Modeling, Parasitology and Nature and Landscape Conservation, having authored 83 papers that have together received 2.5k indexed citations. Recurring topics across this work include Avian ecology and behavior (55 papers), Animal Behavior and Reproduction (25 papers), Species Distribution and Climate Change (21 papers), Bird parasitology and diseases (19 papers), Wildlife Ecology and Conservation (18 papers), Ecology and Vegetation Dynamics Studies (10 papers), Plant and animal studies (6 papers) and Genetic diversity and population structure (6 papers). The work is most often cited by research in Ecological Modeling (782 citations), Ecology (1.9k citations), Parasitology (413 citations), Ecology, Evolution, Behavior and Systematics (1.0k citations) and Developmental Biology (109 citations). Fernando Spina has collaborated with scholars based in Italy, Germany and Switzerland. Frequent co-authors include Diego Rubolini, Nicola Saino, Lukas Jenni, Andrea Pilastro, Andrea Ferri, Anders Pape Møller, Susanne Jenni‐Eiermann, Leonida Fusani, Tibor Szép and Maria Rosaria Romano. Their work appears in journals such as Journal of Avian Biology, Ibis, PLoS ONE, Parasites & Vectors and Journal of Experimental 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.

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