Andrea Carbone
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology 11
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- Visual Attention and Saliency Detection 5
- Robotic Path Planning Algorithms 3
- Advanced Image and Video Retrieval Techniques 2
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- Glaucoma and retinal disorders 3
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- Robotics and Sensor-Based Localization 2
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- Retinal Development and Disorders 2
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- AI-based Problem Solving and Planning 2
- Co-authors
- Thierry BaccinoSimone BenedettoMarco PedrottiVéronique Drai-ZerbibEdwige PissalouxFiora PirriAnna BelardinelliAlberto Finzi
- Journals
- Computers in Human Behavior (2 papers)Autonomous Robots (1 paper)Pattern Recognition Letters (1 paper)
- Partner nations
- ItalyFranceSwitzerland
In The Last Decade
Andrea Carbone
18 papers receiving 268 citations
Peers
Comparison fields: 5 of 63
- Human-Computer Interaction 116
- Cognitive Neuroscience 85
- Social Psychology 79
- Computer Vision and Pattern Recognition 71
- Human Factors and Ergonomics 7
Countries citing papers authored by Andrea Carbone
This map shows the geographic impact of Andrea Carbone'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 Andrea Carbone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Carbone more than expected).
Fields of papers citing papers by Andrea Carbone
This network shows the impact of papers produced by Andrea Carbone. 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 Andrea Carbone. The network helps show where Andrea Carbone may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Andrea Carbone, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2016 | 16 | |
| 4 | 2015 | 42 | |
| 5 | 2014 | 111 | |
| 6 | 2013 | 3 | |
| 7 | 2013 | 9 | |
| 8 | 2012 | 1 | |
| 9 | 2012 | 3 | |
| 10 | 2012 | 32 | |
| 11 | 2011 | 1 | |
| 12 | 2010 | 2 | |
| 13 | 2008 | 1 | |
| 14 | 2007 | 21 | |
| 15 | 2007 | 23 | |
| 16 | 2006 | 2 | |
| 17 | 2006 | 3 | |
| 18 | 2005 | 8 | |
| 19 | 2005 | 3 |
About Andrea Carbone
Andrea Carbone is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Urban Studies, having authored 19 papers that have together received 284 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (11 papers), Visual Attention and Saliency Detection (5 papers), Robotic Path Planning Algorithms (3 papers), Glaucoma and retinal disorders (3 papers), Robotics and Sensor-Based Localization (2 papers), Retinal Development and Disorders (2 papers), AI-based Problem Solving and Planning (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (116 citations), Cognitive Neuroscience (85 citations) and Social Psychology (79 citations). Andrea Carbone has collaborated with scholars based in Italy, France and Switzerland. Frequent co-authors include Thierry Baccino, Simone Benedetto, Marco Pedrotti, Véronique Drai-Zerbib, Edwige Pissaloux, Fiora Pirri, Anna Belardinelli, Alberto Finzi, Andrea Orlandini and Giuseppe Ugazio. Their work appears in journals such as Computers in Human Behavior, Autonomous Robots, Pattern Recognition Letters, Frontiers in Public Health and Integrated Computer-Aided Engineering.
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.