Noemi Gozzi
Impact in
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Radiopharmaceutical Chemistry and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
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- Muscle activation and electromyography studies 3
- Co-authors
- Arturo Chiti (9 shared papers)Martina Sollini (9 shared papers)Margarita Kirienko (7 shared papers)Fabrizia Gelardi (3 shared papers)Francesco Fiz (2 shared papers)Alessandra Pedrocchi (1 shared paper)Fabio Mercorio (1 shared paper)Lorenzo Malandri (1 shared paper)
- Journals
- European Journal of Nuclear Medicine and Molecular Imaging (3 papers)Nature Communications (2 papers)Neuro-Oncology (1 paper)Med (1 paper)Cancers (1 paper)
- Partner nations
- ItalySwitzerlandAustria
In The Last Decade
Noemi Gozzi
15 papers receiving 362 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 18
- Radiology, Nuclear Medicine and Imaging 116
- Cancer Research 59
- Oncology 105
- Genetics 21
Countries citing papers authored by Noemi Gozzi
This map shows the geographic impact of Noemi Gozzi'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 Noemi Gozzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noemi Gozzi more than expected).
Fields of papers citing papers by Noemi Gozzi
This network shows the impact of papers produced by Noemi Gozzi. 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 Noemi Gozzi. The network helps show where Noemi Gozzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Noemi Gozzi, 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 | 2021 | 121 | |
| 2 | 2021 | 80 | |
| 3 | 2022 | 43 | |
| 4 | 2021 | 29 | |
| 5 | 2022 | 28 | |
| 6 | 2023 | 14 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2021 | 0 |
About Noemi Gozzi
Noemi Gozzi is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cellular and Molecular Neuroscience, Oncology and Neurology, having authored 16 papers that have together received 367 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Muscle activation and electromyography studies (3 papers), Neuroscience and Neural Engineering (2 papers), Transcranial Magnetic Stimulation Studies (2 papers), Peptidase Inhibition and Analysis (2 papers), EEG and Brain-Computer Interfaces (2 papers), AI in cancer detection (2 papers) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (116 citations), Cancer Research (59 citations), Oncology (105 citations) and Genetics (21 citations). Noemi Gozzi has collaborated with scholars based in Italy, Switzerland and Austria. Frequent co-authors include Arturo Chiti, Martina Sollini, Margarita Kirienko, Fabrizia Gelardi, Francesco Fiz, Alessandra Pedrocchi, Fabio Mercorio, Lorenzo Malandri, Rosanna Asselta and Stefano Duga. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Nature Communications, Neuro-Oncology, Med and Cancers.
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.