Gorka Epelde
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Privacy-Preserving Technologies in Data 5
-
- Context-Aware Activity Recognition Systems 7
- Co-authors
- Debbie Rankin (6 shared papers)Ane Alberdi (7 shared papers)Rodrigo Cilla (2 shared papers)Michaela Black (4 shared papers)Jonathan Wallace (6 shared papers)Raymond Bond (3 shared papers)Maurice Mulvenna (4 shared papers)Roberto Álvarez (13 shared papers)
- Journals
- BMC Medical Informatics and Decision Making (3 papers)Neurocomputing (2 papers)Frontiers in Neuroinformatics (2 papers)Sensors (2 papers)BioMed Research International (1 paper)
- Partner nations
- SpainUnited KingdomGreece
In The Last Decade
Gorka Epelde
44 papers receiving 539 citations
Peers
Comparison fields: 5 of 112
- Health Informatics 45
- Aging 16
- Health Information Management 32
- Artificial Intelligence 220
- Rehabilitation 30
Countries citing papers authored by Gorka Epelde
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
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-authors
The 25 scholars most cited alongside Gorka Epelde, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 145 | |
| 2 | 2020 | 106 | |
| 3 | 2023 | 37 | |
| 4 | 2014 | 25 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 21 | |
| 7 | 2011 | 15 | |
| 8 | 2018 | 14 | |
| 9 | 2014 | 10 | |
| 10 | 2009 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2011 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2018 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2024 | 6 |
About Gorka Epelde
Gorka Epelde is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction, Demography and Aging, having authored 45 papers that have together received 546 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (7 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Technology Use by Older Adults (5 papers), Privacy-Preserving Technologies in Data (5 papers), Digital Mental Health Interventions (4 papers), Stroke Rehabilitation and Recovery (4 papers), Mobile Health and mHealth Applications (3 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Health Informatics (45 citations), Aging (16 citations), Health Information Management (32 citations), Artificial Intelligence (220 citations) and Rehabilitation (30 citations). Gorka Epelde has collaborated with scholars based in Spain, United Kingdom and Greece. Frequent co-authors include Debbie Rankin, Ane Alberdi, Rodrigo Cilla, Michaela Black, Jonathan Wallace, Raymond Bond, Maurice Mulvenna, Roberto Álvarez, Andoni Beristain and Panagiotis D. Bamidis. Their work appears in journals such as BMC Medical Informatics and Decision Making, Neurocomputing, Frontiers in Neuroinformatics, Sensors and BioMed Research International.
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.