Roberto Casas

1.9k citations
55 papers · 1.1k · h-index 18

Impact in

Papers in

Roberto Casas

54 papers receiving 1.1k citations

Peers

Roberto Casas
Comparison fields: 5 of 121
  • Computer Networks and Communications 314
  • Computer Vision and Pattern Recognition 220
  • Human-Computer Interaction 43
  • Ocean Engineering 110
  • Electrical and Electronic Engineering 386
Replace Álvaro Marco with:
Álvaro Marco Spain
Ioanis Nikolaidis Canada
Kévin Bouchard Canada
Abdenour Bouzouane Canada
Bruno Bouchard Canada
Josef Hallberg Sweden
Kåre Synnes Sweden
Ahmad Lotfi United Kingdom
Jwu‐Sheng Hu Taiwan
Jean-Yves Fourniols France
Roberto Casas relative to Álvaro Marco Spain Álvaro Marco's profile →
Citations per field
00.5×4.5×
Álvaro Marco · 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017134
2 2006121
3 201490
4 200963
5 200861
6 202149
7 202047
8 201243
9 201040
10 200740
11 202336
12 201434
13 202230
14 202126
15 201525
16 201623
17 200522
18 201519
19 201116
20 200515

About Roberto Casas

Roberto Casas is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Demography and Management of Technology and Innovation, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), Indoor and Outdoor Localization Technologies (8 papers), Energy Efficient Wireless Sensor Networks (6 papers), Energy Harvesting in Wireless Networks (6 papers), Innovative Approaches in Technology and Social Development (5 papers), IoT-based Smart Home Systems (5 papers), Technology Use by Older Adults (5 papers) and Water Quality Monitoring Technologies (4 papers). The work is most often cited by research in Computer Networks and Communications (314 citations), Computer Vision and Pattern Recognition (220 citations), Human-Computer Interaction (43 citations), Ocean Engineering (110 citations) and Electrical and Electronic Engineering (386 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, José María Falcó Boudet, Ángel Asensio, J.J. Guerrero, Armando Trasviña-Castro, Richard Picking, Ignacio Martínez Ruiz and Belén Zalba. Their work appears in journals such as Sensors, Sustainability, Computer Communications, Behaviour and Information Technology and Thinking Skills and Creativity.

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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