Nico Lanconelli
- Radiation top 2%
- Radiation Detection and Scintillator Technologies 15
- Advanced Radiotherapy Techniques 15
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- Medical Imaging Techniques and Applications 41
- Radiopharmaceutical Chemistry and Applications 5
- Radiation Dose and Imaging 5
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- Digital Radiography and Breast Imaging 19
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- Advanced X-ray and CT Imaging 26
- Artificial Intelligence top 10%
- AI in cancer detection 7
- Co-authors
- Stefano RivettiMarco BertoliniR. CampaniniAndrea NitrosiAlessandro RiccardiS. Lo MeoGiovanni MettivierMatteo Roffilli
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Nico Lanconelli
59 papers receiving 741 citations
Peers
Comparison fields: 5 of 76
- Radiation 253
- Radiology, Nuclear Medicine and Imaging 514
- Pulmonary and Respiratory Medicine 358
- Biomedical Engineering 244
- Artificial Intelligence 163
Countries citing papers authored by Nico Lanconelli
This map shows the geographic impact of Nico Lanconelli'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 Nico Lanconelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nico Lanconelli more than expected).
Fields of papers citing papers by Nico Lanconelli
This network shows the impact of papers produced by Nico Lanconelli. 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 Nico Lanconelli. The network helps show where Nico Lanconelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nico Lanconelli, 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 | 2024 | 1 | |
| 2 | 2020 | 11 | |
| 3 | 2019 | 28 | |
| 4 | 2018 | 21 | |
| 5 | 2017 | 18 | |
| 6 | 2016 | 6 | |
| 7 | 2014 | 28 | |
| 8 | 2014 | 3 | |
| 9 | 2013 | 21 | |
| 10 | 2012 | 12 | |
| 11 | 2012 | 38 | |
| 12 | 2012 | 23 | |
| 13 | 2011 | 10 | |
| 14 | 2010 | 24 | |
| 15 | 2009 | 23 | |
| 16 | 2008 | 5 | |
| 17 | 2007 | 2 | |
| 18 | 2006 | 62 | |
| 19 | 2004 | 91 | |
| 20 | Automatic detection of clustered microcalcifications using a combined method and an SVM classifier | 2001 | 2 |
About Nico Lanconelli
Nico Lanconelli is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 61 papers that have together received 763 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (41 papers), Advanced X-ray and CT Imaging (26 papers), Digital Radiography and Breast Imaging (19 papers), Radiation Detection and Scintillator Technologies (15 papers), Advanced Radiotherapy Techniques (15 papers), AI in cancer detection (7 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and Radiation Dose and Imaging (5 papers). The work is most often cited by research in Radiation (253 citations), Radiology, Nuclear Medicine and Imaging (514 citations) and Pulmonary and Respiratory Medicine (358 citations). Nico Lanconelli has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Stefano Rivetti, Marco Bertolini, R. Campanini, Andrea Nitrosi, Alessandro Riccardi, S. Lo Meo, Giovanni Mettivier, Matteo Roffilli, Paolo Russo and Matteo Masotti. Their work appears in journals such as PLoS ONE, Physics in Medicine and Biology and Medical Physics.
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.