Aitor Almeida
Impact in
- Media Technology top 2%
- Smart Cities and Technologies
- Transportation top 5%
- Human Mobility and Location-Based Analysis
Papers in
-
- Context-Aware Activity Recognition Systems 34
- Human Pose and Action Recognition 4
-
- IoT and Edge/Fog Computing 21
- Co-authors
- Gorka Azkune (13 shared papers)Diego López–de–Ipiña (25 shared papers)Aritz Bilbao-Jayo (15 shared papers)Rubén Mulero (9 shared papers)Rubén Sánchez (5 shared papers)Luigi Patrono (12 shared papers)Adrián Núñez-Marcos (1 shared paper)Piercosimo Rametta (7 shared papers)
- Journals
- Sensors (7 papers)IEEE Access (5 papers)Future Generation Computer Systems (3 papers)Expert Systems with Applications (2 papers)Journal of Medical Internet Research (1 paper)
- Partner nations
- SpainItalyUnited Kingdom
In The Last Decade
Aitor Almeida
62 papers receiving 906 citations
Peers
Comparison fields: 5 of 111
- Media Technology 177
- Transportation 124
- Computer Vision and Pattern Recognition 351
- Computer Networks and Communications 316
- Computer Science Applications 44
Countries citing papers authored by Aitor Almeida
This map shows the geographic impact of Aitor Almeida'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 Aitor Almeida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aitor Almeida more than expected).
Fields of papers citing papers by Aitor Almeida
This network shows the impact of papers produced by Aitor Almeida. 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 Aitor Almeida. The network helps show where Aitor Almeida may publish in the future.
Co-authors
The 25 scholars most cited alongside Aitor Almeida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 209 | |
| 2 | 2018 | 66 | |
| 3 | 2014 | 59 | |
| 4 | 2018 | 58 | |
| 5 | 2019 | 48 | |
| 6 | 2012 | 29 | |
| 7 | 2019 | 25 | |
| 8 | 2021 | 25 | |
| 9 | 2017 | 25 | |
| 10 | 2018 | 22 | |
| 11 | 2023 | 20 | |
| 12 | 2014 | 18 | |
| 13 | 2023 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2014 | 16 | |
| 16 | 2014 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2012 | 15 | |
| 19 | 2018 | 14 | |
| 20 | 2008 | 13 |
About Aitor Almeida
Aitor Almeida is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Information Systems and Demography, having authored 69 papers that have together received 947 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (34 papers), IoT and Edge/Fog Computing (21 papers), Technology Use by Older Adults (9 papers), Human Mobility and Location-Based Analysis (6 papers), Smart Cities and Technologies (5 papers), Human Pose and Action Recognition (4 papers), Sentiment Analysis and Opinion Mining (4 papers) and Indoor and Outdoor Localization Technologies (4 papers). The work is most often cited by research in Media Technology (177 citations), Transportation (124 citations), Computer Vision and Pattern Recognition (351 citations), Computer Networks and Communications (316 citations) and Computer Science Applications (44 citations). Aitor Almeida has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include Gorka Azkune, Diego López–de–Ipiña, Aritz Bilbao-Jayo, Rubén Mulero, Rubén Sánchez, Luigi Patrono, Adrián Núñez-Marcos, Piercosimo Rametta, Liming Chen and Ilaria Sergi. Their work appears in journals such as Sensors, IEEE Access, Future Generation Computer Systems, Expert Systems with Applications and Journal of Medical Internet Research.
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.