Andrea Damiani

133 total papers · 1.7k total citations
45 papers, 697 citations indexed

About

Andrea Damiani is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Artificial Intelligence. According to data from OpenAlex, Andrea Damiani has authored 45 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Oncology and 13 papers in Artificial Intelligence. Recurrent topics in Andrea Damiani's work include Radiomics and Machine Learning in Medical Imaging (19 papers), Colorectal Cancer Surgical Treatments (11 papers) and Colorectal Cancer Screening and Detection (9 papers). Andrea Damiani is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), Colorectal Cancer Surgical Treatments (11 papers) and Colorectal Cancer Screening and Detection (9 papers). Andrea Damiani collaborates with scholars based in Italy, Netherlands and United Kingdom. Andrea Damiani's co-authors include Vincenzo Valentini, N. Dinapoli, Roberto Gatta, Carlotta Masciocchi, Jacopo Lenkowicz, Luca Boldrini, Calogero Casà, Johan van Soest, Maria Antonietta Gambacorta and Giuditta Chiloiro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Andrea Damiani

41 papers receiving 692 citations

Author Peers

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

Author Last Decade Papers Cites
Andrea Damiani 402 287 127 104 100 45 697
S. Manfrida 161 0.4× 203 0.7× 207 1.6× 158 1.5× 49 0.5× 51 589
D.I. Rosenthal 126 0.3× 70 0.2× 129 1.0× 82 0.8× 24 0.2× 41 608
Nicola Alessandro Iacovelli 157 0.4× 271 0.9× 267 2.1× 259 2.5× 19 0.2× 57 744
Matea Pavic 392 1.0× 187 0.7× 208 1.6× 58 0.6× 118 1.2× 29 619
Paul Bulens 300 0.7× 153 0.5× 181 1.4× 24 0.2× 34 0.3× 27 660
Wim Dries 218 0.5× 161 0.6× 211 1.7× 183 1.8× 82 0.8× 20 582
Lovedeep Gondara 183 0.5× 247 0.9× 234 1.8× 64 0.6× 62 0.6× 41 770
Matthew B. Morgan 475 1.2× 84 0.3× 133 1.0× 62 0.6× 149 1.5× 27 793
Zafar Malik 146 0.4× 116 0.4× 326 2.6× 102 1.0× 24 0.2× 57 587
Wazir Muhammad 270 0.7× 108 0.4× 143 1.1× 19 0.2× 64 0.6× 61 675

Countries citing papers authored by Andrea Damiani

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Damiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Damiani

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