Eduardo Velloso

4.2k citations
119 papers · 2.5k indexed · h-index 26
Topics
Interactive and Immersive Displays (37 papers)Gaze Tracking and Assistive Technology (29 papers)Virtual Reality Applications and Impacts (27 papers)
Journals
SHILAP Revista de lepidopterologíaACM Computing SurveysInformation Sciences

In The Last Decade

Eduardo Velloso

113 papers receiving 2.5k citations

Peers

Eduardo Velloso
Comparison fields: 5 of 127
  • Human-Computer Interaction 1.6k
  • Cognitive Neuroscience 842
  • Computer Vision and Pattern Recognition 757
  • Social Psychology 314
  • Artificial Intelligence 250
Replace Yuanchun Shi with:
Yuanchun Shi China
Eric D. Ragan United States
Paweł W. Woźniak Germany
Enkelejda Kasneci Germany
Per Ola Kristensson United Kingdom
Khai N. Truong Canada
Orit Shaer United States
Andreas Butz Germany
Morten Fjeld Sweden
Hai‐Ning Liang China
Eduardo Velloso relative to Yuanchun Shi China Yuanchun Shi's profile →
Citations per field
00.5×1.5×
Yuanchun Shi · 1×
Citations per year

Countries citing papers authored by Eduardo Velloso

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Velloso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Velloso

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Velloso. A scholar is included among the top collaborators of Eduardo Velloso based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eduardo Velloso. Eduardo Velloso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 4
6 3
7 7
8 8
9 12
10 0
11 13
12 15
13 2
14 43
15 3
16 7
17 13
18 16
19 39
20
The Web of Things as an Infrastructure for Improving Users’ Health and Wellbeing
1

About Eduardo Velloso

Eduardo Velloso is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 119 papers that have together received 2.5k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (37 papers), Gaze Tracking and Assistive Technology (29 papers) and Virtual Reality Applications and Impacts (27 papers). The work is most often cited by research in Human-Computer Interaction (1.6k citations), Cognitive Neuroscience (842 citations) and Computer Vision and Pattern Recognition (757 citations). Eduardo Velloso has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Hans Gellersen, Andreas Bulling, Adalberto L. Simeone, Jorge Gonçalves, Joshua Newn, Frank Vetere, Augusto Esteves, Tilman Dingler, Marcus Carter and Vassilis Kostakos. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Information 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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