Davide Gadia
Impact in
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
-
- Image Enhancement Techniques
- Advanced Vision and Imaging
Papers in
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- Image Enhancement Techniques 9
- Advanced Vision and Imaging 7
- Video Analysis and Summarization 6
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- Artificial Intelligence in Games 16
- Co-authors
- Alessandro Rizzi (14 shared papers)Daniele Marini (11 shared papers)Dario Maggiorini (31 shared papers)Laura Anna Ripamonti (30 shared papers)Massimo Fierro (1 shared paper)Edoardo Provenzi (1 shared paper)Raffaella Folgieri (2 shared papers)Barbara Rita Barricelli (2 shared papers)
- Journals
- Multimedia Tools and Applications (6 papers)Journal of Cultural Heritage (2 papers)Behaviour and Information Technology (1 paper)Virtual Reality (1 paper)Applied Sciences (1 paper)
- Partner nations
- ItalyIrelandUnited States
In The Last Decade
Davide Gadia
44 papers receiving 425 citations
Peers
Comparison fields: 5 of 88
- Human-Computer Interaction 79
- Computer Vision and Pattern Recognition 228
- Media Technology 63
- Computer Graphics and Computer-Aided Design 17
- Cognitive Neuroscience 75
Countries citing papers authored by Davide Gadia
This map shows the geographic impact of Davide Gadia'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 Gadia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Gadia more than expected).
Fields of papers citing papers by Davide Gadia
This network shows the impact of papers produced by Davide Gadia. 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 Gadia. The network helps show where Davide Gadia may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Gadia, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 146 | |
| 2 | 2020 | 34 | |
| 3 | 2011 | 27 | |
| 4 | 2016 | 22 | |
| 5 | 2014 | 20 | |
| 6 | 2014 | 16 | |
| 7 | 2016 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2014 | 11 | |
| 10 | 2017 | 11 | |
| 11 | 2016 | 11 | |
| 12 | 2018 | 9 | |
| 13 | 2012 | 9 | |
| 14 | 2018 | 9 | |
| 15 | 2013 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 2004 | 6 | |
| 18 | 2008 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2017 | 5 |
About Davide Gadia
Davide Gadia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 52 papers that have together received 448 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (16 papers), Digital Games and Media (13 papers), Color Science and Applications (11 papers), Image Enhancement Techniques (9 papers), Virtual Reality Applications and Impacts (7 papers), Advanced Vision and Imaging (7 papers), Video Analysis and Summarization (6 papers) and Advanced Optical Imaging Technologies (5 papers). The work is most often cited by research in Human-Computer Interaction (79 citations), Computer Vision and Pattern Recognition (228 citations), Media Technology (63 citations), Computer Graphics and Computer-Aided Design (17 citations) and Cognitive Neuroscience (75 citations). Davide Gadia has collaborated with scholars based in Italy, Ireland and United States. Frequent co-authors include Alessandro Rizzi, Daniele Marini, Dario Maggiorini, Laura Anna Ripamonti, Massimo Fierro, Edoardo Provenzi, Raffaella Folgieri, Barbara Rita Barricelli, Enrico Calore and John Cupitt. Their work appears in journals such as Multimedia Tools and Applications, Journal of Cultural Heritage, Behaviour and Information Technology, Virtual Reality 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.