Gorka Azkune

62 total papers · 1.2k total citations
25 papers, 788 citations indexed

About

Gorka Azkune is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Gorka Azkune has authored 25 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Gorka Azkune's work include Context-Aware Activity Recognition Systems (14 papers), IoT and Edge/Fog Computing (6 papers) and Human Pose and Action Recognition (6 papers). Gorka Azkune is often cited by papers focused on Context-Aware Activity Recognition Systems (14 papers), IoT and Edge/Fog Computing (6 papers) and Human Pose and Action Recognition (6 papers). Gorka Azkune collaborates with scholars based in Spain, United Kingdom and Italy. Gorka Azkune's 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 and has published in prestigious journals such as International Journal of Hydrogen Energy, Expert Systems with Applications and IEEE Access.

In The Last Decade

Gorka Azkune

23 papers receiving 743 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gorka Azkune	439	190	187	135	127	25	788
Vikramaditya R. Jakkula	533 1.2×	312 1.6×	214 1.1×	182 1.3×	29 0.2×	12	879
Emmanuel Munguia Tapia	499 1.1×	196 1.0×	90 0.5×	132 1.0×	25 0.2×	15	872
Aaron S. Crandall	647 1.5×	311 1.6×	189 1.0×	256 1.9×	14 0.1×	24	908
Barnan Das	419 1.0×	141 0.7×	208 1.1×	191 1.4×	12 0.1×	15	661
Rashmika Nawaratne	247 0.6×	179 0.9×	366 2.0×	85 0.6×	32 0.3×	29	844
Alejandro Baldominos	299 0.7×	102 0.5×	282 1.5×	72 0.5×	66 0.5×	27	837
Ching-Hu Lu	412 0.9×	263 1.4×	132 0.7×	295 2.2×	21 0.2×	72	717
Allan Stisen	448 1.0×	181 1.0×	265 1.4×	212 1.6×	11 0.1×	14	780
Alfredo J. Pérez	253 0.6×	281 1.5×	189 1.0×	160 1.2×	13 0.1×	57	874
Vincenzo Mighali	226 0.5×	406 2.1×	38 0.2×	318 2.4×	67 0.5×	30	699

Countries citing papers authored by Gorka Azkune

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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