José Santamaría
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Advanced Neural Network Applications
Papers in
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- Advanced Vision and Imaging 12
- Advanced Image and Video Retrieval Techniques 11
- Medical Image Segmentation Techniques 9
- Face recognition and analysis 8
- Co-authors
- Laith AlzubaidiMohammed A. FadhelYe DuanJinglan ZhangOmran Al-ShammaAmjad J. HumaidiLaith FarhanMuthana Al‐Amidie
In The Last Decade
José Santamaría
58 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Health Informatics 254
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 1.9k
- Radiology, Nuclear Medicine and Imaging 970
- Health Information Management 190
Countries citing papers authored by José Santamaría
This map shows the geographic impact of José Santamaría'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 José Santamaría with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Santamaría more than expected).
Fields of papers citing papers by José Santamaría
This network shows the impact of papers produced by José Santamaría. 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 José Santamaría. The network helps show where José Santamaría may publish in the future.
Co-authors
The 25 scholars most cited alongside José Santamaría, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 19 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 15 | |
| 8 | A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion Hit paper breakdown → | 2023 | 372 |
| 9 | A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications Hit paper breakdown → | 2023 | 420 |
| 10 | 2022 | 12 | |
| 11 | 2022 | 32 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 59 | |
| 14 | Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data Hit paper breakdown → | 2021 | 189 |
| 15 | 2020 | 157 | |
| 16 | 2014 | 29 | |
| 17 | 2012 | 16 | |
| 18 | A new approach to fuzzy location of cephalometric landmarks in craniofacial superimposition | 2009 | 5 |
| 19 | 2006 | 33 | |
| 20 | Vectorización semi-automática de redes lineales en mapas cartográficos en color. | 1998 | 1 |
About José Santamaría
José Santamaría is a scholar working on Health Informatics, Computer Vision and Pattern Recognition, Archeology, Aerospace Engineering and Artificial Intelligence, having authored 61 papers that have together received 6.7k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (22 papers), Advanced Vision and Imaging (12 papers), Advanced Image and Video Retrieval Techniques (11 papers), Medical Image Segmentation Techniques (9 papers), Forensic Anthropology and Bioarchaeology Studies (9 papers), Face recognition and analysis (8 papers), COVID-19 diagnosis using AI (7 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Health Informatics (254 citations), Computer Vision and Pattern Recognition (1.6k citations), Artificial Intelligence (1.9k citations), Radiology, Nuclear Medicine and Imaging (970 citations) and Health Information Management (190 citations). José Santamaría has collaborated with scholars based in Spain, Australia and Iraq. Frequent co-authors include Laith Alzubaidi, Mohammed A. Fadhel, Ye Duan, Jinglan Zhang, Omran Al-Shamma, Amjad J. Humaidi, Laith Farhan, Muthana Al‐Amidie, Ayad Q. Al-Dujaili and Sergio Damas. Their work appears in journals such as Information Fusion, Intelligent Systems with Applications, Applied Sciences, Information Sciences and Electronics.
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.