Ivan Scotti

1.7k citations
55 papers · 1.1k · h-index 21

Impact in

    • Species Distribution and Climate Change
  • Genetics top 5%
    • Genetic diversity and population structure
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

Ivan Scotti

54 papers receiving 1.1k citations

Peers

Ivan Scotti
Comparison fields: 5 of 90
  • Ecological Modeling 99
  • Genetics 582
  • Nature and Landscape Conservation 252
  • Ecology, Evolution, Behavior and Systematics 272
  • Horticulture 10
Replace Andrea Piotti with:
Andrea Piotti Italy
Sascha Liepelt Germany
Alicia Mastretta‐Yanes Mexico
Alison Shapcott Australia
Gregor Kozlowski Switzerland
Kentaro Uchiyama Japan
Hanne De Kort Belgium
J. Buiteveld Netherlands
M. Anzidei Italy
Thibaut Capblancq France
Ivan Scotti relative to Andrea Piotti Italy Andrea Piotti's profile →
Citations per field
00.5×1.5×2.5×
Andrea Piotti · 1×
Citations per year

Countries citing papers authored by Ivan Scotti

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Scotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201897
2 200265
3 200663
4 201457
5 200052
6 200650
7 200249
8 200044
9 201944
10 202040
11 201337
12 201534
13 201233
14 202130
15 201229
16 201227
17 202026
18 201325
19 200625
20 200322

About Ivan Scotti

Ivan Scotti is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Nature and Landscape Conservation and Plant Science, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic diversity and population structure (32 papers), Plant and animal studies (13 papers), Genetic and phenotypic traits in livestock (10 papers), Ecology and Vegetation Dynamics Studies (9 papers), Species Distribution and Climate Change (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Plant Reproductive Biology (5 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Ecological Modeling (99 citations), Genetics (582 citations), Nature and Landscape Conservation (252 citations), Ecology, Evolution, Behavior and Systematics (272 citations) and Horticulture (10 citations). Ivan Scotti has collaborated with scholars based in France, French Guiana and Italy. Frequent co-authors include Federica Magni, Michele Morgante, Caroline Scotti‐Saintagne, Lynda F. Delph, Giovanni G. Vendramin, Giorgio Binelli, Henri Caron, Bruno Hérault, Rémy J. Petit and Jérôme Duminil. Their work appears in journals such as Annals of Forest Science, Molecular Ecology, Ecology and Evolution, Tree Genetics & Genomes 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.

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