Roberto Rinaldi

34 total papers · 516 total citations
16 papers, 317 citations indexed

About

Roberto Rinaldi is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Roberto Rinaldi has authored 16 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Surgery. Recurrent topics in Roberto Rinaldi's work include Otolaryngology and Infectious Diseases (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Congenital Ear and Nasal Anomalies (2 papers). Roberto Rinaldi is often cited by papers focused on Otolaryngology and Infectious Diseases (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Congenital Ear and Nasal Anomalies (2 papers). Roberto Rinaldi collaborates with scholars based in Italy, United States and Switzerland. Roberto Rinaldi's co-authors include Marcel Waldvogel, Alberto Staffieri, Gino Marioni, Rosario Marchese‐Ragona, Cosimo de Filippis, Saverio Giuseppe Parisi, Claudia Staffieri, P. Caselli, Giancarlo Ottaviano and Marina Savastano and has published in prestigious journals such as Archives of Disease in Childhood, ACM SIGCOMM Computer Communication Review and British Journal of Radiology.

In The Last Decade

Roberto Rinaldi

15 papers receiving 291 citations

Author Peers

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

Author Last Decade Papers Cites
Roberto Rinaldi 122 88 88 59 41 16 317
Jiabo Xu 34 0.3× 53 0.6× 28 0.3× 115 1.9× 37 0.9× 26 326
Michael L. Campbell 25 0.2× 93 1.1× 49 0.6× 29 0.5× 24 0.6× 16 359
Salem Argaw 34 0.3× 23 0.3× 19 0.2× 30 0.5× 24 0.6× 9 238
Xuecheng Yang 21 0.2× 65 0.7× 54 0.6× 19 0.3× 77 1.9× 19 303
Liang Tian 45 0.4× 12 0.1× 60 0.7× 7 0.1× 51 1.2× 26 332
Tarek Malas 61 0.5× 22 0.3× 28 0.3× 48 0.8× 8 0.2× 12 275
Joseph R. Martel 15 0.1× 38 0.4× 25 0.3× 163 2.8× 16 0.4× 21 360
Maria Tsikala Vafea 12 0.1× 14 0.2× 94 1.1× 12 0.2× 38 0.9× 14 254
Yunxia Feng 40 0.3× 16 0.2× 42 0.5× 19 0.3× 114 2.8× 21 262
S. Mehta 64 0.5× 160 1.8× 72 0.8× 31 0.5× 83 2.0× 25 350

Countries citing papers authored by Roberto Rinaldi

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Rinaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Rinaldi

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