Domenico Tegolo
- Ophthalmology top 1%
- Glaucoma and retinal disorders 10
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- Medical Image Segmentation Techniques 11
- Advanced Image and Video Retrieval Techniques 11
- Digital Imaging for Blood Diseases 10
- Advanced Vision and Imaging 9
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- Retinal Imaging and Analysis 17
- Media Technology top 10%
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- Robotics and Sensor-Based Localization 12
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- Neural dynamics and brain function 8
- Co-authors
- Carmen Alina LupaşcuEmanuele TruccoCesare ValentiFabio BellaviaFrancesco IsgròMichele MiglioreVito Di GesùAndrea Giachetti
- Cited by
- OphthalmologyComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- Machine Vision and Applications (3 papers)Scientific Reports (2 papers)IEEE Access (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Domenico Tegolo
81 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Ophthalmology 459
- Computer Vision and Pattern Recognition 547
- Radiology, Nuclear Medicine and Imaging 571
- Health Informatics 11
- Media Technology 34
Countries citing papers authored by Domenico Tegolo
This map shows the geographic impact of Domenico Tegolo'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 Domenico Tegolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Domenico Tegolo more than expected).
Fields of papers citing papers by Domenico Tegolo
This network shows the impact of papers produced by Domenico Tegolo. 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 Domenico Tegolo. The network helps show where Domenico Tegolo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Domenico Tegolo, 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 | 2025 | 5 | |
| 2 | Agricultural data privacy and federated learning: A review of challenges and opportunitiesbreakdown → | 2025 | 14 |
| 3 | 2024 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 1 | |
| 12 | 2014 | 15 | |
| 13 | 2013 | 40 | |
| 14 | 2011 | 108 | |
| 15 | 2010 | 268 | |
| 16 | 2008 | 30 | |
| 17 | 2008 | 33 | |
| 18 | Underwater archaeological mosaicing | 2006 | 1 |
| 19 | 2006 | 2 | |
| 20 | HERMIA: An Heterogeneous and Reconfigurable Machine for Image Analysis | 1990 | 5 |
About Domenico Tegolo
Domenico Tegolo is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 89 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (17 papers), Robotics and Sensor-Based Localization (12 papers), Medical Image Segmentation Techniques (11 papers), Advanced Image and Video Retrieval Techniques (11 papers), Digital Imaging for Blood Diseases (10 papers), Glaucoma and retinal disorders (10 papers), Advanced Vision and Imaging (9 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Ophthalmology (459 citations), Computer Vision and Pattern Recognition (547 citations) and Radiology, Nuclear Medicine and Imaging (571 citations). Domenico Tegolo has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Carmen Alina Lupaşcu, Emanuele Trucco, Cesare Valenti, Fabio Bellavia, Francesco Isgrò, Michele Migliore, Vito Di Gesù, Andrea Giachetti, Kris Zutis and Alex S. F. Doney. Their work appears in journals such as Machine Vision and Applications, Scientific Reports, IEEE Access, Medical Image Analysis and Frontiers in Cellular Neuroscience.
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.