Joan Aranda

571 citations
48 papers · 443 · h-index 10

Impact in

Papers in

Joan Aranda

42 papers receiving 424 citations

Peers

Joan Aranda
Comparison fields: 5 of 83
  • Rehabilitation 75
  • Cognitive Neuroscience 109
  • Physical Therapy, Sports Therapy and Rehabilitation 21
  • Human-Computer Interaction 27
  • Biomedical Engineering 192
Replace Mario Ortíz with:
Mario Ortíz Spain
Daniel Sutopo Pamungkas Indonesia
Qichuan Ding China
Lekai Zhang China
Md. Asraf Ali Bangladesh
Jeff Kilby New Zealand
Winston H. Wu United States
Seyed M. Miran United States
Michele De Filippo De Grazia Italy
Ericka Janet Rechy-Ramirez Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Joan Aranda

Since Specialization
Citations

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

Fields of papers citing papers by Joan Aranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016114
2 201859
3 201457
4 201825
5 198418
6 200416
7 201716
8 200215
9 201411
10 200410
11 20027
12 20167
13 19947
14 20146
15 20156
16 20025
17 20145
18 20155
19 19984
20
MARCO: A mobile robot with learning capabilities to perceive and interact with its environment*
20014

About Joan Aranda

Joan Aranda is a scholar working on Computer Vision and Pattern Recognition, Rehabilitation, Human-Computer Interaction, Biomedical Engineering and Aerospace Engineering, having authored 48 papers that have together received 443 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (8 papers), Muscle activation and electromyography studies (8 papers), Prosthetics and Rehabilitation Robotics (8 papers), Stroke Rehabilitation and Recovery (8 papers), Video Surveillance and Tracking Methods (6 papers), Robotic Path Planning Algorithms (5 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Rehabilitation (75 citations), Cognitive Neuroscience (109 citations), Physical Therapy, Sports Therapy and Rehabilitation (21 citations), Human-Computer Interaction (27 citations) and Biomedical Engineering (192 citations). Joan Aranda has collaborated with scholars based in Spain, Ecuador and United Kingdom. Frequent co-authors include Vijaykumar Rajasekaran, Alı́cia Casals, José Luis Pons, Eduardo López‐Larraz, Antonio J. del‐Ama, Fernando Trincado-Alonso, Luis Montesano, Soraya Pérez‐Nombela, Javier Mínguez and Angel M. Gil-Agudo. Their work appears in journals such as Robotics and Autonomous Systems, Applied Intelligence, Frontiers in Neuroscience, Lecture notes in control and information sciences and Journal of Science Education and Technology.

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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