G. Guidi

87 total papers · 627 total citations
35 papers, 380 citations indexed

About

G. Guidi is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering. According to data from OpenAlex, G. Guidi has authored 35 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Radiation and 9 papers in Biomedical Engineering. Recurrent topics in G. Guidi's work include Advanced Radiotherapy Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Medical Imaging Techniques and Applications (10 papers). G. Guidi is often cited by papers focused on Advanced Radiotherapy Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Medical Imaging Techniques and Applications (10 papers). G. Guidi collaborates with scholars based in Italy, Netherlands and Spain. G. Guidi's co-authors include N. Maffei, Fabio Remondino, Bruno Meduri, Margherita Russo, Frank Lohr, Federica Zanca, Oliver Díaz, Niall Colgan, Valentina Vanoni and Filippo Bertoni and has published in prestigious journals such as International Journal of Molecular Sciences, Human Brain Mapping and Medical Physics.

In The Last Decade

G. Guidi

31 papers receiving 371 citations

Author Peers

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

Author Last Decade Papers Cites
G. Guidi 231 137 117 61 51 35 380
Steven Michiels 241 1.0× 186 1.4× 153 1.3× 90 1.5× 86 1.7× 16 434
Wenzheng Sun 165 0.7× 59 0.4× 93 0.8× 58 1.0× 30 0.6× 27 344
Christian V. Guthier 273 1.2× 178 1.3× 146 1.2× 70 1.1× 61 1.2× 26 403
Hester Burger 215 0.9× 208 1.5× 97 0.8× 49 0.8× 28 0.5× 35 445
N Mistry 340 1.5× 105 0.8× 115 1.0× 107 1.8× 52 1.0× 29 435
Jordan Wong 202 0.9× 182 1.3× 93 0.8× 77 1.3× 47 0.9× 19 336
G. Pirrone 330 1.4× 165 1.2× 246 2.1× 95 1.6× 63 1.2× 25 439
Tanja Schimek‐Jasch 258 1.1× 107 0.8× 186 1.6× 41 0.7× 24 0.5× 27 422
David J. Noble 232 1.0× 200 1.5× 167 1.4× 42 0.7× 16 0.3× 26 422
Xinzhi Teng 276 1.2× 74 0.5× 94 0.8× 72 1.2× 49 1.0× 38 342

Countries citing papers authored by G. Guidi

Since Specialization
Citations

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

Fields of papers citing papers by G. Guidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Guidi

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