Davide Moroni
Impact in
- Health Informatics top 10%
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- Video Surveillance and Tracking Methods 11
- Medical Image Segmentation Techniques 10
- Advanced Neural Network Applications 10
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- Artificial Intelligence in Healthcare 11
- Electronic Health Records Systems 8
- Co-authors
- Ovidio Salvetti (64 shared papers)Gabriele Pieri (28 shared papers)Marco Tampucci (26 shared papers)Giuseppe Riccardo Leone (20 shared papers)Maria Antonietta Pascali (28 shared papers)Massimo Martinelli (27 shared papers)Andrea Berton (6 shared papers)Sara Colantonio (21 shared papers)
- Journals
- Sensors (4 papers)IEEE Access (2 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2 papers)Applied Optics (2 papers)Applied Sciences (2 papers)
- Partner nations
- ItalyGreeceUnited Kingdom
In The Last Decade
Davide Moroni
129 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 112
- Health Informatics 35
- Computer Vision and Pattern Recognition 227
- Building and Construction 143
- Ocean Engineering 116
- Geology 50
Countries citing papers authored by Davide Moroni
This map shows the geographic impact of Davide Moroni'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 Davide Moroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Moroni more than expected).
Fields of papers citing papers by Davide Moroni
This network shows the impact of papers produced by Davide Moroni. 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 Davide Moroni. The network helps show where Davide Moroni may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Moroni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 104 | |
| 2 | 2021 | 74 | |
| 3 | 2015 | 69 | |
| 4 | 2018 | 69 | |
| 5 | 2020 | 56 | |
| 6 | 2019 | 35 | |
| 7 | 2017 | 33 | |
| 8 | 2018 | 32 | |
| 9 | 2015 | 30 | |
| 10 | 2016 | 27 | |
| 11 | 2008 | 25 | |
| 12 | 2019 | 22 | |
| 13 | 2018 | 20 | |
| 14 | 2022 | 20 | |
| 15 | 2007 | 19 | |
| 16 | 2019 | 19 | |
| 17 | 2022 | 19 | |
| 18 | 2020 | 18 | |
| 19 | 2023 | 18 | |
| 20 | 2015 | 17 |
About Davide Moroni
Davide Moroni is a scholar working on Computer Vision and Pattern Recognition, Health Information Management, Health Informatics, Ocean Engineering and Pollution, having authored 146 papers that have together received 1.2k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (11 papers), Artificial Intelligence in Healthcare (11 papers), Medical Image Segmentation Techniques (10 papers), Advanced Neural Network Applications (10 papers), Artificial Intelligence in Healthcare and Education (8 papers), Oil Spill Detection and Mitigation (8 papers), Electronic Health Records Systems (8 papers) and Smart Agriculture and AI (7 papers). The work is most often cited by research in Health Informatics (35 citations), Computer Vision and Pattern Recognition (227 citations), Building and Construction (143 citations), Ocean Engineering (116 citations) and Geology (50 citations). Davide Moroni has collaborated with scholars based in Italy, Greece and United Kingdom. Frequent co-authors include Ovidio Salvetti, Gabriele Pieri, Marco Tampucci, Giuseppe Riccardo Leone, Maria Antonietta Pascali, Massimo Martinelli, Andrea Berton, Sara Colantonio, Mario D’Acunto and Danila Germanese. Their work appears in journals such as Sensors, IEEE Access, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Applied Optics and Applied Sciences.
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.