Francesco Salustri

75 total papers · 469 total citations
37 papers, 275 citations indexed

About

Francesco Salustri is a scholar working on Sociology and Political Science, Safety Research and Economics and Econometrics. According to data from OpenAlex, Francesco Salustri has authored 37 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 11 papers in Safety Research and 9 papers in Economics and Econometrics. Recurrent topics in Francesco Salustri's work include Experimental Behavioral Economics Studies (10 papers), COVID-19 epidemiological studies (7 papers) and Evolutionary Game Theory and Cooperation (6 papers). Francesco Salustri is often cited by papers focused on Experimental Behavioral Economics Studies (10 papers), COVID-19 epidemiological studies (7 papers) and Evolutionary Game Theory and Cooperation (6 papers). Francesco Salustri collaborates with scholars based in Italy, United Kingdom and United States. Francesco Salustri's co-authors include Leonardo Becchetti, Pierluigi Conzo, Pasquale Scaramozzino, Vittorio Pelligra, Hassan Haghparast‐Bidgoli, Jolene Skordis, Ali Kiadaliri, Kasim Allel, Paolo Candio and Tom Palmer and has published in prestigious journals such as Journal of Cleaner Production, Social Science & Medicine and Ecological Economics.

In The Last Decade

Francesco Salustri

33 papers receiving 270 citations

Author Peers

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

Author Last Decade Papers Cites
Francesco Salustri 74 63 51 48 42 37 275
Abel Brodeur 65 0.9× 114 1.8× 15 0.3× 13 0.3× 22 0.5× 23 282
Yuval Arbel 89 1.2× 33 0.5× 33 0.6× 18 0.4× 13 0.3× 56 236
Bridget Hoffmann 173 2.3× 48 0.8× 28 0.5× 31 0.6× 39 0.9× 16 318
Anthony Kwame Morgan 51 0.7× 52 0.8× 21 0.4× 16 0.3× 78 1.9× 44 322
İsrael Nyaburi Nyadera 53 0.7× 105 1.7× 39 0.8× 18 0.4× 28 0.7× 38 259
Tholang Mokhele 61 0.8× 74 1.2× 33 0.6× 12 0.3× 49 1.2× 43 294
Alexandros Alexiou 52 0.7× 56 0.9× 33 0.6× 15 0.3× 159 3.8× 25 322
Chinmay Tumbe 62 0.8× 120 1.9× 41 0.8× 8 0.2× 28 0.7× 33 273
Keisuke Kawata 86 1.2× 62 1.0× 17 0.3× 21 0.4× 28 0.7× 32 274
Justin Visagie 70 0.9× 101 1.6× 17 0.3× 25 0.5× 42 1.0× 27 292

Countries citing papers authored by Francesco Salustri

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Salustri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Salustri

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Salustri. A scholar is included among the top collaborators of Francesco Salustri 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 Francesco Salustri. Francesco Salustri 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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