Eva Oliveira

33 papers receiving 228 citations

Peers

Eva Oliveira
Comparison fields: 5 of 78
  • Human-Computer Interaction 60
  • Rehabilitation 69
  • Computer Vision and Pattern Recognition 47
  • Health Informatics 3
  • Occupational Therapy 9
Replace M. Ann Reinthal with:
M. Ann Reinthal United States
Alexandra Voinescu United Kingdom
Vera Colombo Italy
Simon Brière Canada
Johanna Renny Octavia Indonesia
Paula Alexandra Rego Portugal
Natalia Dużmańska-Misiarczyk Poland
Marta Mondellini Italy
Aviv Elor United States
Robert Konrad Germany
Eva Oliveira relative to M. Ann Reinthal United States M. Ann Reinthal's profile →
Citations per field
00.5×10×15.5×
M. Ann Reinthal · 1×
Citations per year

Countries citing papers authored by Eva Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by Eva Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202089
2 202023
3 201116
4 201310
5 20209
6 20208
7 20148
8
Development of an Automatic Combination System of Clothing Parts for Blind People: MyEyes
20186
9 20235
10 20105
11 20215
12 20174
13 20204
14 20233
15 20133
16
Towards enhanced video access and recommendation through emotions
20093
17 20213
18 20232
19 20092
20 20142

About Eva Oliveira

Eva Oliveira is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Developmental and Educational Psychology, Social Psychology and Rehabilitation, having authored 37 papers that have together received 229 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (7 papers), Video Analysis and Summarization (7 papers), Stroke Rehabilitation and Recovery (4 papers), Virtual Reality Applications and Impacts (3 papers), Musculoskeletal pain and rehabilitation (3 papers), Educational Games and Gamification (3 papers), Industrial Vision Systems and Defect Detection (2 papers) and Ergonomics and Musculoskeletal Disorders (2 papers). The work is most often cited by research in Human-Computer Interaction (60 citations), Rehabilitation (69 citations), Computer Vision and Pattern Recognition (47 citations), Health Informatics (3 citations) and Occupational Therapy (9 citations). Eva Oliveira has collaborated with scholars based in Portugal, Germany and United States. Frequent co-authors include Nuno F. Rodrigues, Cosima Prahm, Jonas Kolbenschlag, Teresa Chambel, Pedro Martins, Vı́tor Carvalho, Daniel Rocha, Joaquim Gonçalves, Florentino Serranheira and Cláudia Sà dos Reis. Their work appears in journals such as Applied Sciences, Insights into Imaging, Electronics, Journal of Biomedical Informatics and Materials.

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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