Ariel Caputo

443 citations
24 papers · 299 · h-index 9

Impact in

Papers in

Ariel Caputo

24 papers receiving 293 citations

Peers

Ariel Caputo
Comparison fields: 5 of 51
  • Human-Computer Interaction 231
  • Computer Vision and Pattern Recognition 164
  • Cognitive Neuroscience 70
  • Computer Graphics and Computer-Aided Design 9
  • Geology 12
Replace Ungyeon Yang with:
Ungyeon Yang South Korea
Qiushi Zhou Australia
Dieter Schmalstieg Austria
Vinayak Vinayak United States
Peter Mohr Austria
Siroberto Scerbo United States
Ohan Oda United States
Fatima El Jamiy United States
Majed Al Zayer United States
Andreas Fender Switzerland
Ariel Caputo relative to Ungyeon Yang South Korea Ungyeon Yang's profile →
Citations per field
00.5×1.5×2.4×
Ungyeon Yang · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018129
2 202128
3 201826
4 201517
5 201817
6 202010
7 202010
8 20239
9 20168
10 20228
11 20177
12 20175
13 20244
14 20233
15 20163
16 20173
17 20232
18 20242
19 20192
20 20192

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 24 papers that have together received 299 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (12 papers), Hand Gesture Recognition Systems (9 papers), Interactive and Immersive Displays (8 papers), Augmented Reality Applications (7 papers), Tactile and Sensory Interactions (6 papers), Human Pose and Action Recognition (3 papers), Robot Manipulation and Learning (3 papers) and Teleoperation and Haptic Systems (3 papers). The work is most often cited by research in Human-Computer Interaction (231 citations), Computer Vision and Pattern Recognition (164 citations), Cognitive Neuroscience (70 citations), Computer Graphics and Computer-Aided Design (9 citations) and Geology (12 citations). Ariel Caputo has collaborated with scholars based in Italy, Portugal and Vietnam. Frequent co-authors include Andrea Giachetti, Daniel Mendes, Joaquim Jorge, Alfredo Ferreira, Lucio Davide Spano, Andrea Ranieri, Massimo Zancanaro, Marina Monti, Franca Giannini and Roberto Vezzani. Their work appears in journals such as Computers & Graphics, International Journal of Human-Computer Studies, Proceedings of the ACM on Human-Computer Interaction, Computer Graphics Forum and Lecture notes in computer science.

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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