Matteo Vecchi

687 citations
42 papers · 513 · h-index 14

Impact in

Papers in

Matteo Vecchi

38 papers receiving 512 citations

Peers

Matteo Vecchi
Comparison fields: 5 of 36
  • Ecology, Evolution, Behavior and Systematics 437
  • Ecology 186
  • Astronomy and Astrophysics 63
  • Insect Science 44
  • Physiology 84
Replace Oscar Lisi with:
Oscar Lisi Italy
Dennis Krog Persson Denmark
Milena Roszkowska Poland
Maria Grazia Binda Italy
Weronika Wełnicz Germany
Witold Morek Poland
Dorota Lachowska‐Cierlik Poland
R O Schuster United States
Julián Padró Argentina
Jordan S. Metzgar United States
Matteo Vecchi relative to Oscar Lisi Italy Oscar Lisi's profile →
Citations per field
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Oscar Lisi · 1×
Citations per year

Countries citing papers authored by Matteo Vecchi

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Vecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201681
2 202069
3 202131
4 201830
5 202127
6 201925
7 201622
8 202319
9 202019
10 202217
11 202116
12 201916
13 201615
14 202214
15 202311
16 202110
17 20239
18 20208
19 20238
20 20227

About Matteo Vecchi

Matteo Vecchi is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology, Molecular Biology, Astronomy and Astrophysics and Physiology, having authored 42 papers that have together received 513 indexed citations. Recurring topics across this work include Tardigrade Biology and Ecology (36 papers), Biocrusts and Microbial Ecology (33 papers), Polar Research and Ecology (16 papers), Planetary Science and Exploration (5 papers), Protist diversity and phylogeny (4 papers), Lichen and fungal ecology (3 papers), Bryophyte Studies and Records (3 papers) and Biofield Effects and Biophysics (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (437 citations), Ecology (186 citations), Astronomy and Astrophysics (63 citations), Insect Science (44 citations) and Physiology (84 citations). Matteo Vecchi has collaborated with scholars based in Poland, Finland and Italy. Frequent co-authors include Daniel Stec, Sara Calhim, Lorena Rebecchi, Roberto Guidetti, Michele Cesari, Łukasz Michalczyk, Roberto Bertolani, Kjell Jonsson, Irene L. G. Newton and Gian Carlo Manicardi. Their work appears in journals such as Zootaxa, Zoological Journal of the Linnean Society, Ecology and Evolution, Molecular Phylogenetics and Evolution and Organisms Diversity & Evolution.

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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