Roberto Casas

1.9k citations
72 papers · 1.4k · h-index 20

Impact in

Papers in

Roberto Casas

69 papers receiving 1.4k citations

Peers

Roberto Casas
Comparison fields: 5 of 126
  • Computer Networks and Communications 404
  • Computer Vision and Pattern Recognition 351
  • Human-Computer Interaction 89
  • Demography 119
  • Occupational Therapy 33
Replace Francesco Furfari with:
Francesco Furfari Italy
Álvaro Marco Spain
Kévin Bouchard Canada
Bruno Bouchard Canada
Vangelis Metsis United States
Jean-Yves Fourniols France
Abdenour Bouzouane Canada
Ioanis Nikolaidis Canada
Ántónio Pereira Portugal
Christophe Escriba France
Roberto Casas relative to Francesco Furfari Italy Francesco Furfari's profile →
Citations per field
00.5×2.8×
Francesco Furfari · 1×
Citations per year

Countries citing papers authored by Roberto Casas

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017140
2 2006127
3 2014111
4 200879
5 200876
6 200974
7 202157
8 202053
9 202345
10 201244
11 201444
12 200744
13 201042
14 202237
15 202130
16 201630
17 201527
18 201625
19 201521
20 201121

About Roberto Casas

Roberto Casas is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Human-Computer Interaction and Demography, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (16 papers), Indoor and Outdoor Localization Technologies (11 papers), Energy Efficient Wireless Sensor Networks (7 papers), Technology Use by Older Adults (7 papers), IoT-based Smart Home Systems (7 papers), Energy Harvesting in Wireless Networks (7 papers), Innovative Approaches in Technology and Social Development (7 papers) and Water Quality Monitoring Technologies (6 papers). The work is most often cited by research in Computer Networks and Communications (404 citations), Computer Vision and Pattern Recognition (351 citations), Human-Computer Interaction (89 citations), Demography (119 citations) and Occupational Therapy (33 citations). Roberto Casas has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Álvaro Marco, Rubén Blasco, Teresa Blanco, Ángel Asensio, Richard Picking, J.J. Guerrero, Armando Trasviña-Castro, Belén Zalba, Ignacio Martínez Ruiz and J.I. Artigas. Their work appears in journals such as Sensors, Sustainability, Thinking Skills and Creativity, Computer Communications and Behaviour and Information 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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