Alberto Bert
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in ⓘ
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- MRI in cancer diagnosis 6
- Radiomics and Machine Learning in Medical Imaging 6
- Advanced MRI Techniques and Applications 3
- Oncology 5
- Colorectal Cancer Screening and Detection 4
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Daniele Regge (9 shared papers)Roberto Dovesi (2 shared papers)Claudio M. Zicovich‐Wilson (2 shared papers)Victor R. Saunders (1 shared paper)C. Roetti (1 shared paper)Lia Morra (5 shared papers)Luca Alessandro Carbonaro (5 shared papers)A. Vignati (5 shared papers)
- Journals
- Investigative Radiology (2 papers)Radiology (2 papers)Medical Physics (1 paper)The Journal of Chemical Physics (1 paper)Journal of Geriatric Psychiatry and Neurology (1 paper)
- Partner nations
- ItalyUnited StatesMexico
In The Last Decade
Alberto Bert
18 papers receiving 468 citations
Peers
Comparison fields: 5 of 83
- Radiology, Nuclear Medicine and Imaging 244
- Artificial Intelligence 125
- Neurology 23
- Pulmonary and Respiratory Medicine 87
- Oncology 68
Countries citing papers authored by Alberto Bert
This map shows the geographic impact of Alberto Bert'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 Alberto Bert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Bert more than expected).
Fields of papers citing papers by Alberto Bert
This network shows the impact of papers produced by Alberto Bert. 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 Alberto Bert. The network helps show where Alberto Bert may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Bert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 81 | |
| 2 | 2006 | 53 | |
| 3 | 2011 | 45 | |
| 4 | 2015 | 40 | |
| 5 | 2012 | 37 | |
| 6 | 2010 | 33 | |
| 7 | 2009 | 28 | |
| 8 | 2013 | 28 | |
| 9 | 2010 | 22 | |
| 10 | 2009 | 21 | |
| 11 | 2008 | 20 | |
| 12 | 2014 | 17 | |
| 13 | 2014 | 16 | |
| 14 | 2017 | 10 | |
| 15 | 2012 | 9 | |
| 16 | 2009 | 9 | |
| 17 | 2003 | 5 | |
| 18 | 2004 | 2 |
About Alberto Bert
Alberto Bert is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine, Surgery and Atomic and Molecular Physics, and Optics, having authored 18 papers that have together received 476 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Colorectal Cancer Screening and Detection (4 papers), Advanced MRI Techniques and Applications (3 papers), Advanced Chemical Physics Studies (2 papers), AI in cancer detection (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (244 citations), Artificial Intelligence (125 citations), Neurology (23 citations), Pulmonary and Respiratory Medicine (87 citations) and Oncology (68 citations). Alberto Bert has collaborated with scholars based in Italy, United States and Mexico. Frequent co-authors include Daniele Regge, Roberto Dovesi, Claudio M. Zicovich‐Wilson, Victor R. Saunders, C. Roetti, Lia Morra, Luca Alessandro Carbonaro, A. Vignati, Valentina Giannini and Francesco Sardanelli. Their work appears in journals such as Investigative Radiology, Radiology, Medical Physics, The Journal of Chemical Physics and Journal of Geriatric Psychiatry and Neurology.
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.