Gorka Epelde

998 total citations
45 papers, 509 citations indexed

About

Gorka Epelde is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management. According to data from OpenAlex, Gorka Epelde has authored 45 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Health Information Management. Recurrent topics in Gorka Epelde's work include Context-Aware Activity Recognition Systems (7 papers), Data Quality and Management (7 papers) and Privacy-Preserving Technologies in Data (6 papers). Gorka Epelde is often cited by papers focused on Context-Aware Activity Recognition Systems (7 papers), Data Quality and Management (7 papers) and Privacy-Preserving Technologies in Data (6 papers). Gorka Epelde collaborates with scholars based in Spain, United Kingdom and Greece. Gorka Epelde's co-authors include Debbie Rankin, Ane Alberdi, Rodrigo Cilla, Jonathan Wallace, Maurice Mulvenna, Michaela Black, Raymond Bond, Roberto Álvarez, Andoni Beristain and Evdokimos Konstantinidis and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Gorka Epelde

43 papers receiving 502 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gorka Epelde Spain 10 236 60 58 58 56 45 509
Giuseppe Fico Spain 16 115 0.5× 20 0.3× 81 1.4× 34 0.6× 61 1.1× 85 878
Arpad Kelemen United States 17 128 0.5× 18 0.3× 93 1.6× 16 0.3× 30 0.5× 55 880
Thanveer Shaik Australia 10 248 1.1× 17 0.3× 48 0.8× 88 1.5× 36 0.6× 20 602
Tanvi Banerjee United States 13 193 0.8× 10 0.2× 45 0.8× 24 0.4× 28 0.5× 49 679
Eloisa Vargiu Italy 13 161 0.7× 13 0.2× 92 1.6× 10 0.2× 51 0.9× 83 626
Jean-Paul Calbimonte Switzerland 12 302 1.3× 20 0.3× 74 1.3× 18 0.3× 19 0.3× 55 614
Varadraj P. Gurupur United States 15 130 0.6× 65 1.1× 73 1.3× 36 0.6× 57 1.0× 54 567
Daniele Spoladore Italy 13 80 0.3× 31 0.5× 83 1.4× 8 0.1× 10 0.2× 34 415
Luis-Felipe Rodríguez Mexico 13 169 0.7× 18 0.3× 38 0.7× 15 0.3× 18 0.3× 46 511
Riad Alharbey Saudi Arabia 12 122 0.5× 8 0.1× 76 1.3× 11 0.2× 14 0.3× 26 480

Countries citing papers authored by Gorka Epelde

Since Specialization
Citations

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

Fields of papers citing papers by Gorka Epelde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gorka Epelde

This figure shows the co-authorship network connecting the top 25 collaborators of Gorka Epelde. A scholar is included among the top collaborators of Gorka Epelde 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 Epelde. Gorka Epelde 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
1.
Epelde, Gorka, Deisy Chaves, María Trujillo, et al.. (2025). An approach to boost adherence to self-data reporting in mHealth applications for users without specific health conditions. BMC Medical Informatics and Decision Making. 25(1). 16–16. 1 indexed citations
2.
Epelde, Gorka, et al.. (2024). Categorizing digital data collection and intervention tools in health and wellbeing living lab settings: A modified Delphi study. International Journal of Medical Informatics. 185. 105408–105408. 3 indexed citations
3.
Konstantinidis, Evdokimos, et al.. (2024). A Secure Data Publishing and Access Service for Sensitive Data from Living Labs: Enabling Collaboration with External Researchers via Shareable Data. Big Data and Cognitive Computing. 8(6). 55–55. 2 indexed citations
4.
Epelde, Gorka, et al.. (2024). Privacy Mechanisms and Evaluation Metrics for Synthetic Data Generation: A Systematic Review. IEEE Access. 12. 88048–88074. 6 indexed citations
5.
Epelde, Gorka, et al.. (2023). Effect of incorporating metadata to the generation of synthetic time series in a healthcare context. Zenodo (CERN European Organization for Nuclear Research). 910–916. 3 indexed citations
6.
Epelde, Gorka, Andoni Beristain, Ane Alberdi, et al.. (2022). Synthetic Subject Generation with Coupled Coherent Time Series Data. Ulster University Research Portal (Ulster University). 7–7. 7 indexed citations
7.
Epelde, Gorka, Andoni Beristain, Roberto Álvarez, et al.. (2022). Incorporation of Synthetic Data Generation Techniques within a Controlled Data Processing Workflow in the Health and Wellbeing Domain. Electronics. 11(5). 812–812. 21 indexed citations
8.
Trujillo, María, et al.. (2022). mHealth Apps Using Behavior Change Techniques to Self-report Data: Systematic Review. JMIR mhealth and uhealth. 10(9). e33247–e33247. 15 indexed citations
9.
Epelde, Gorka, Rubén Gil‐Redondo, Nieves Embade, et al.. (2022). Comparative Evaluation of Oversampling Techniques for Balancing Metabolic Profiles. 41–47.
10.
Beristain, Andoni, Roberto Álvarez, Santiago Hors-Fraile, et al.. (2021). User Centered Virtual Coaching for Older Adults at Home Using SMART Goal Plans and I-Change Model. International Journal of Environmental Research and Public Health. 18(13). 6868–6868. 8 indexed citations
11.
Beristain, Andoni, Roberto Álvarez, Manuel Graña, et al.. (2021). COLAEVA: Visual Analytics and Data Mining Web-Based Tool for Virtual Coaching of Older Adult Populations. Sensors. 21(23). 7991–7991. 1 indexed citations
12.
Epelde, Gorka, et al.. (2021). An ensemble-based feature selection framework to select risk factors of childhood obesity for policy decision making. BMC Medical Informatics and Decision Making. 21(1). 222–222. 9 indexed citations
13.
Álvarez, Roberto, et al.. (2020). OBINTER: A Holistic Approach to Catalyse the Self-Management of Chronic Obesity. Sensors. 20(18). 5060–5060. 6 indexed citations
14.
Rankin, Debbie, Michaela Black, Raymond Bond, et al.. (2020). Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing. JMIR Medical Informatics. 8(7). e18910–e18910. 99 indexed citations
15.
Konstantinidis, Evdokimos, Giuseppe Conti, Antonis Billis, et al.. (2019). A New Approach for Ageing at Home: The CAPTAIN System. Studies in health technology and informatics. 264. 1704–1705. 8 indexed citations
16.
Álvarez, Roberto, et al.. (2018). TAQIH, a tool for tabular data quality assessment and improvement in the context of health data. Computer Methods and Programs in Biomedicine. 181. 104824–104824. 14 indexed citations
17.
18.
Machado, Pedro, et al.. (2018). Emulation of chemical stimulus triggered head movement in the C. elegans nematode. Neurocomputing. 290. 60–73. 8 indexed citations
19.
Molina‐Rueda, Francisco, Alicia Cuesta‐Gómez, Luis Unzueta, et al.. (2014). Upper Limb Posture Estimation in Robotic and Virtual Reality-Based Rehabilitation. BioMed Research International. 2014. 1–18. 25 indexed citations
20.
Epelde, Gorka, et al.. (2013). Smart Medical System for the Universal Remote Delivery of Rehabilitation. 6(1). 98. 3 indexed citations

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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