Francesco Riva

57 total papers · 1.4k total citations
38 papers, 1.1k citations indexed

About

Francesco Riva is a scholar working on Pollution, Surgery and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Francesco Riva has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pollution, 11 papers in Surgery and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Francesco Riva's work include Pharmaceutical and Antibiotic Environmental Impacts (13 papers), Water Treatment and Disinfection (6 papers) and Reconstructive Surgery and Microvascular Techniques (6 papers). Francesco Riva is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (13 papers), Water Treatment and Disinfection (6 papers) and Reconstructive Surgery and Microvascular Techniques (6 papers). Francesco Riva collaborates with scholars based in Italy, United Kingdom and Switzerland. Francesco Riva's co-authors include Sara Castiglioni, Ettore Zuccato, Enrico Davoli, Elena Fattore, Marinella Palmiotto, Karl Fent, Cyrus Kerawala, Ngian‐Chye Tan, Peter A. Bain and Vinidh Paleri and has published in prestigious journals such as The Science of The Total Environment, Water Research and Journal of Hazardous Materials.

In The Last Decade

Francesco Riva

36 papers receiving 1.1k 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 Riva 560 327 145 119 118 38 1.1k
Anna‐Karin Johansson 392 0.7× 450 1.4× 71 0.5× 124 1.0× 56 0.5× 48 1.4k
Michel Guerbet 466 0.8× 637 1.9× 42 0.3× 119 1.0× 92 0.8× 67 1.2k
Huiting Huang 264 0.5× 672 2.1× 78 0.5× 115 1.0× 43 0.4× 40 1.2k
Stefanie Weber 327 0.6× 238 0.7× 78 0.5× 45 0.4× 184 1.6× 31 1.5k
Joëlle Eurin 707 1.3× 182 0.6× 69 0.5× 195 1.6× 185 1.6× 29 1.2k
R. McInnis 615 1.1× 513 1.6× 19 0.1× 218 1.8× 159 1.3× 24 1.1k
Lulu Wang 541 1.0× 208 0.6× 77 0.5× 120 1.0× 178 1.5× 41 1.0k
Akiko Tanabe 236 0.4× 199 0.6× 81 0.6× 149 1.3× 45 0.4× 68 1.2k
Kurtis Sarafin 471 0.8× 331 1.0× 15 0.1× 199 1.7× 113 1.0× 20 1.3k
Vidhi Gautam 391 0.7× 294 0.9× 51 0.4× 132 1.1× 211 1.8× 13 1.5k

Countries citing papers authored by Francesco Riva

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Riva

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