Carmelo Cicciò

42 total papers · 486 total citations
28 papers, 349 citations indexed

About

Carmelo Cicciò is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Carmelo Cicciò has authored 28 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pulmonary and Respiratory Medicine and 6 papers in Surgery. Recurrent topics in Carmelo Cicciò's work include Advanced MRI Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Spondyloarthritis Studies and Treatments (4 papers). Carmelo Cicciò is often cited by papers focused on Advanced MRI Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Spondyloarthritis Studies and Treatments (4 papers). Carmelo Cicciò collaborates with scholars based in Italy, United States and Croatia. Carmelo Cicciò's co-authors include Orazio Schillaci, Ferdinando Calabria, Giovanni Simonetti, Roberta Danieli, Antonio Orlacchio, Guglielmo Manenti, M. Carlani, Ettore Squillaci, Mario Tavolozza and Stefano Mancino and has published in prestigious journals such as European Heart Journal, Journal of Experimental & Clinical Cancer Research and International Journal of Infectious Diseases.

In The Last Decade

Carmelo Cicciò

23 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
Carmelo Cicciò 191 165 66 44 32 28 349
Oscar A. Mendiondo 113 0.6× 201 1.2× 85 1.3× 66 1.5× 26 0.8× 20 347
Zeynep Burak 171 0.9× 131 0.8× 83 1.3× 105 2.4× 26 0.8× 28 371
Benjamin Noto 182 1.0× 182 1.1× 51 0.8× 65 1.5× 26 0.8× 19 318
Christoph Berliner 134 0.7× 220 1.3× 85 1.3× 62 1.4× 54 1.7× 26 364
Krishan Kant Agarwal 160 0.8× 144 0.9× 105 1.6× 88 2.0× 19 0.6× 30 344
Michael A. Izard 106 0.6× 217 1.3× 42 0.6× 79 1.8× 26 0.8× 19 351
Imene Zerizer 129 0.7× 133 0.8× 101 1.5× 84 1.9× 33 1.0× 25 380
Lianfang Du 98 0.5× 146 0.9× 107 1.6× 49 1.1× 32 1.0× 28 346
Desiree Weiberg 182 1.0× 177 1.1× 51 0.8× 75 1.7× 24 0.8× 20 372
Thomas Mognetti 162 0.8× 121 0.7× 114 1.7× 52 1.2× 53 1.7× 28 400

Countries citing papers authored by Carmelo Cicciò

Since Specialization
Citations

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

Fields of papers citing papers by Carmelo Cicciò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmelo Cicciò

This figure shows the co-authorship network connecting the top 25 collaborators of Carmelo Cicciò. A scholar is included among the top collaborators of Carmelo Cicciò 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 Carmelo Cicciò. Carmelo Cicciò 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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2026