Gorka Azkune
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Media Technology top 5%
- Co-authors
- Aitor AlmeidaAdrián Núñez-MarcosIgnacio Arganda‐CarrerasAritz Bilbao-JayoRubén MuleroRubén SánchezDiego López–de–IpiñaLiming Chen
- Topics
- Context-Aware Activity Recognition Systems (14 papers)IoT and Edge/Fog Computing (6 papers)Human Pose and Action Recognition (6 papers)
- Partner nations
- SpainUnited KingdomItaly
In The Last Decade
Gorka Azkune
24 papers receiving 750 citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 441
- Computer Networks and Communications 190
- Artificial Intelligence 188
- Electrical and Electronic Engineering 135
- Media Technology 128
Countries citing papers authored by Gorka Azkune
This map shows the geographic impact of Gorka Azkune'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 Gorka Azkune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gorka Azkune more than expected).
Fields of papers citing papers by Gorka Azkune
This network shows the impact of papers produced by Gorka Azkune. 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 Gorka Azkune. The network helps show where Gorka Azkune may publish in the future.
Co-authorship network of co-authors of Gorka Azkune
This figure shows the co-authorship network connecting the top 25 collaborators of Gorka Azkune. A scholar is included among the top collaborators of Gorka Azkune based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gorka Azkune. Gorka Azkune is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 27 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 203 | |
| 9 | 66 | |
| 10 | 9 | |
| 11 | 22 | |
| 12 | 58 | |
| 13 | 12 | |
| 14 | 13 | |
| 15 | 193 | |
| 16 | An AAL system based on IoT technologies and linked open data for elderly monitoring in smart cities | 13 |
| 17 | 1 | |
| 18 | 10 | |
| 19 | 59 | |
| 20 | 3 |
About Gorka Azkune
Gorka Azkune is a scholar working on Computer Vision and Pattern Recognition, Transportation and Media Technology, having authored 25 papers that have together received 797 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (14 papers), IoT and Edge/Fog Computing (6 papers) and Human Pose and Action Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (441 citations), Transportation (99 citations) and Media Technology (128 citations). Gorka Azkune has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Aitor Almeida, Adrián Núñez-Marcos, Ignacio Arganda‐Carreras, Aritz Bilbao-Jayo, Rubén Mulero, Rubén Sánchez, Diego López–de–Ipiña, Liming Chen, Eneko Agirre and Aitor Soroa. Their work appears in journals such as International Journal of Hydrogen Energy, Expert Systems with Applications and IEEE Access.
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.