Mauro Torchio

59 total papers · 847 total citations
35 papers, 551 citations indexed

About

Mauro Torchio is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Mauro Torchio has authored 35 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 13 papers in Molecular Biology and 11 papers in Artificial Intelligence. Recurrent topics in Mauro Torchio's work include Clinical practice guidelines implementation (14 papers), Biomedical Text Mining and Ontologies (12 papers) and Semantic Web and Ontologies (11 papers). Mauro Torchio is often cited by papers focused on Clinical practice guidelines implementation (14 papers), Biomedical Text Mining and Ontologies (12 papers) and Semantic Web and Ontologies (11 papers). Mauro Torchio collaborates with scholars based in Italy, United States and Germany. Mauro Torchio's co-authors include Gianpaolo Molino, Paolo Terenziani, Alessio Bottrighi, Stefania Montani, Paolo Avagnina, Gianluca Correndo, Alberto Cavanna, G Molino, Luca Anselma and Roberto Franceschini and has published in prestigious journals such as Journal of Hepatology, The American Journal of Gastroenterology and Digestive Diseases and Sciences.

In The Last Decade

Mauro Torchio

35 papers receiving 523 citations

Author Peers

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

Author Last Decade Papers Cites
Mauro Torchio 185 184 135 120 118 35 551
Aniruddha M. Deshpande 183 1.0× 170 0.9× 196 1.5× 32 0.3× 67 0.6× 12 595
Rohit Anand 72 0.4× 53 0.3× 23 0.2× 27 0.2× 51 0.4× 52 581
Chih‐Wei Huang 82 0.4× 86 0.5× 42 0.3× 13 0.1× 72 0.6× 48 561
Min‐Huei Hsu 91 0.5× 69 0.4× 70 0.5× 13 0.1× 97 0.8× 40 609
Jonathan C. Prather 87 0.5× 69 0.4× 115 0.9× 12 0.1× 29 0.2× 17 543
Mehmet Ayvaci 144 0.8× 50 0.3× 49 0.4× 22 0.2× 49 0.4× 39 532
Philipp Neuhaus 40 0.2× 121 0.7× 55 0.4× 62 0.5× 43 0.4× 53 506
Min Wu 101 0.5× 141 0.8× 36 0.3× 8 0.1× 29 0.2× 23 494
Wolfgang Dorda 46 0.2× 113 0.6× 79 0.6× 11 0.1× 60 0.5× 41 582
Shane P. Stenner 210 1.1× 239 1.3× 39 0.3× 10 0.1× 40 0.3× 11 563

Countries citing papers authored by Mauro Torchio

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Torchio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Torchio

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