Arturo Chiti
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Pulmonary and Respiratory Medicine top 0.5%
- Oncology top 1%
- Epidemiology top 2%
- Neurology top 0.5%
- Co-authors
- Martina SolliniMargarita KirienkoEmilio BombardieriLidija AntunovicStefano FantiLuca CozziWim J.G. OyenEgesta Lopci
- Topics
- Radiomics and Machine Learning in Medical Imaging (79 papers)Medical Imaging Techniques and Applications (78 papers)Radiopharmaceutical Chemistry and Applications (41 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Arturo Chiti
263 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Radiology, Nuclear Medicine and Imaging 3.6k
- Pulmonary and Respiratory Medicine 2.4k
- Oncology 1.9k
- Epidemiology 1.4k
- Neurology 1.4k
Countries citing papers authored by Arturo Chiti
This map shows the geographic impact of Arturo Chiti'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 Arturo Chiti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arturo Chiti more than expected).
Fields of papers citing papers by Arturo Chiti
This network shows the impact of papers produced by Arturo Chiti. 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 Arturo Chiti. The network helps show where Arturo Chiti may publish in the future.
Co-authorship network of co-authors of Arturo Chiti
This figure shows the co-authorship network connecting the top 25 collaborators of Arturo Chiti. A scholar is included among the top collaborators of Arturo Chiti 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 Arturo Chiti. Arturo Chiti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 22 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 47 | |
| 15 | 4 | |
| 16 | 32 | |
| 17 | 11 | |
| 18 | 116 | |
| 19 | 59 | |
| 20 | 9 |
About Arturo Chiti
Arturo Chiti is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Neurology, having authored 283 papers that have together received 7.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (79 papers), Medical Imaging Techniques and Applications (78 papers) and Radiopharmaceutical Chemistry and Applications (41 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.6k citations), Neurology (1.4k citations) and Pulmonary and Respiratory Medicine (2.4k citations). Arturo Chiti has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Martina Sollini, Margarita Kirienko, Emilio Bombardieri, Lidija Antunovic, Stefano Fanti, Luca Cozzi, Wim J.G. Oyen, Egesta Lopci, Fabrizia Gelardi and Giovanna Pepe. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.