Matteo Bonato

164 total papers · 3.0k total citations
86 papers, 2.1k citations indexed

About

Matteo Bonato is a scholar working on Orthopedics and Sports Medicine, Economics and Econometrics and Finance. According to data from OpenAlex, Matteo Bonato has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Orthopedics and Sports Medicine, 31 papers in Economics and Econometrics and 22 papers in Finance. Recurrent topics in Matteo Bonato's work include Sports Performance and Training (25 papers), Sports injuries and prevention (22 papers) and Market Dynamics and Volatility (21 papers). Matteo Bonato is often cited by papers focused on Sports Performance and Training (25 papers), Sports injuries and prevention (22 papers) and Market Dynamics and Volatility (21 papers). Matteo Bonato collaborates with scholars based in Italy, South Africa and France. Matteo Bonato's co-authors include Antonio La Torre, Rangan Gupta, Rıza Demirer, Mehmet Balcılar, Jacopo Antonino Vitale, Giuseppe Banfi, Giampiero Merati, Christian Pierdzioch, Paola Cinque and Nicholas Apergis and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Medicine & Science in Sports & Exercise.

In The Last Decade

Matteo Bonato

78 papers receiving 2.0k citations

Hit Papers

Geopolitical risks and st... 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matteo Bonato 812 592 345 277 256 86 2.1k
Nigel Harris 197 0.2× 1.4k 2.3× 48 0.1× 375 1.4× 87 0.3× 136 2.6k
Devinder Kaur Ajit Singh 359 0.4× 80 0.1× 50 0.1× 387 1.4× 192 0.8× 161 2.5k
Mohammad Reza Hadian 174 0.2× 628 1.1× 170 0.5× 182 0.7× 4 0.0× 228 2.6k
Niamh Moloney 152 0.2× 105 0.2× 339 1.0× 640 2.3× 15 0.1× 134 2.5k
Anders Forslund 378 0.5× 136 0.2× 18 0.1× 731 2.6× 56 0.2× 122 2.3k
Bilge Yılmaz 235 0.3× 247 0.4× 276 0.8× 125 0.5× 10 0.0× 103 1.8k
Mary O’Keeffe 469 0.6× 249 0.4× 10 0.0× 107 0.4× 6 0.0× 105 2.9k
Lynne Evans 99 0.1× 558 0.9× 24 0.1× 24 0.1× 61 0.2× 61 1.6k
Martin Mackey 110 0.1× 163 0.3× 4 0.0× 211 0.8× 5 0.0× 97 2.2k
Nick Draper 64 0.1× 979 1.7× 5 0.0× 340 1.2× 8 0.0× 112 2.3k

Countries citing papers authored by Matteo Bonato

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Bonato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Bonato

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Bonato. A scholar is included among the top collaborators of Matteo Bonato based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matteo Bonato. Matteo Bonato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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