Ariel Caputo

417 citations
22 papers · 247 · h-index 8

Impact in

Papers in

Ariel Caputo

21 papers receiving 241 citations

Peers

Ariel Caputo
Comparison fields: 5 of 46
  • Human-Computer Interaction 202
  • Computer Vision and Pattern Recognition 142
  • Cognitive Neuroscience 65
  • Computer Graphics and Computer-Aided Design 8
  • Geology 11
Replace Siroberto Scerbo with:
Siroberto Scerbo United States
Ungyeon Yang South Korea
Qiushi Zhou Australia
Andrew Irlitti Australia
Ohan Oda United States
Peter Mohr Austria
Dieter Schmalstieg Austria
Rudy Darken United States
Majed Al Zayer United States
James Baumeister Australia
Ariel Caputo relative to Siroberto Scerbo United States Siroberto Scerbo's profile →
Citations per field
00.5×1.6×
Siroberto Scerbo · 1×
Citations per year

Countries citing papers authored by Ariel Caputo

Since Specialization
Citations

This map shows the geographic impact of Ariel Caputo'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 Ariel Caputo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariel Caputo more than expected).

Fields of papers citing papers by Ariel Caputo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ariel Caputo. 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 Ariel Caputo. The network helps show where Ariel Caputo may publish in the future.

Co-authors

The 25 scholars most cited alongside Ariel Caputo, 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 Ariel Caputo Line = papers co-authored together Ariel Caputo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018107
2 202126
3 201823
4 201815
5 201514
6 202010
7 20228
8 20177
9 20207
10 20167
11 20175
12 20243
13 20163
14 20173
15 20192
16 20192
17 20241
18 20231
19 20251
20 20181

About Ariel Caputo

Ariel Caputo is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Control and Systems Engineering and Mechanical Engineering, having authored 22 papers that have together received 247 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (11 papers), Hand Gesture Recognition Systems (9 papers), Interactive and Immersive Displays (8 papers), Augmented Reality Applications (7 papers), Tactile and Sensory Interactions (5 papers), Robot Manipulation and Learning (3 papers), Human Pose and Action Recognition (3 papers) and Teleoperation and Haptic Systems (3 papers). The work is most often cited by research in Human-Computer Interaction (202 citations), Computer Vision and Pattern Recognition (142 citations), Cognitive Neuroscience (65 citations), Computer Graphics and Computer-Aided Design (8 citations) and Geology (11 citations). Ariel Caputo has collaborated with scholars based in Italy, Portugal and United States. Frequent co-authors include Andrea Giachetti, Daniel Mendes, Alfredo Ferreira, Joaquim Jorge, Lucio Davide Spano, Andrea Ranieri, Franca Giannini, Marina Monti, Minh–Triet Tran and Guido Borghi. Their work appears in journals such as Computers & Graphics, Computer Graphics Forum, International Journal of Human-Computer Studies, Proceedings of the ACM on Human-Computer Interaction and INFM-OAR (INFN Catania).

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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