Asier Aztiria

20 papers receiving 776 citations

Peers

Asier Aztiria
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 233
  • Experimental and Cognitive Psychology 194
  • Cognitive Neuroscience 169
  • Cardiology and Cardiovascular Medicine 150
  • Biomedical Engineering 139
Replace Ane Alberdi with:
Ane Alberdi Spain
Faijan Akhtar China
Matthew Pediaditis Greece
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Asier Aztiria relative to Ane Alberdi Spain Ane Alberdi's profile →
Citations per field
00.5×3.6×
Ane Alberdi · 1×
Citations per year

Countries citing papers authored by Asier Aztiria

Since Specialization
Citations

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

Fields of papers citing papers by Asier Aztiria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asier Aztiria

This figure shows the co-authorship network connecting the top 25 collaborators of Asier Aztiria. A scholar is included among the top collaborators of Asier Aztiria 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 Asier Aztiria. Asier Aztiria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 30
2 111
3 151
4 325
5 2
6 1
7 8
8 4
9 36
10 1
11 4
12 38
13 8
14 1
15 52
16 5
17 14
18
Discovering Frequent Sets of Actions in Intelligent Environments.
3
19
Autonomous Learning of User's Preferences Improved through User Feedback.
7
20
Spatial and Temporal Aspects for Pattern Representation and Discovery in Intelligent Environments.
3

About Asier Aztiria

Asier Aztiria is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 20 papers that have together received 804 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), Data Management and Algorithms (5 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (194 citations), Computer Vision and Pattern Recognition (233 citations) and Cognitive Neuroscience (169 citations). Asier Aztiria has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Adrian Basarab, Ane Alberdi, Diane J. Cook, Alberto Izaguirre, Juan Carlos Augusto, Alyssa Weakley, Maitane Barrenechea, Maureen Schmitter‐Edgecombe, Hamid Aghajan and Chih‐Wei Chen. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, Artificial Intelligence Review and Journal of Biomedical Informatics.

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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