Davide Gadia

702 citations
52 papers · 448 · h-index 11

Impact in

Papers in

Davide Gadia

44 papers receiving 425 citations

Peers

Davide Gadia
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
Replace Elena Fedorovskaya with:
Elena Fedorovskaya United States
Vedad Hulusić United Kingdom
V. Javier Traver Spain
Xiaoming Chen China
Jeffrey B. Mulligan United States
Harold Thwaites Malaysia
Kees Teunissen Netherlands
Daniele Marini Italy
Matthieu Perreira Da Silva France
Corneliu Florea Romania
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Citations per field
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Elena Fedorovskaya · 1×
Citations per year

Countries citing papers authored by Davide Gadia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Davide Gadia Line = papers co-authored together Davide Gadia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006146
2 202034
3 201127
4 201622
5 201420
6 201416
7 201613
8 202212
9 201411
10 201711
11 201611
12 20189
13 20129
14 20189
15 20138
16 20177
17 20046
18 20086
19 20215
20 20175

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.

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