C. Jiménez-Mesa
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
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- Functional Brain Connectivity Studies 4
-
- Blind Source Separation Techniques 3
- Co-authors
- J. M. Górriz (14 shared papers)Javier Ramı́rez (12 shared papers)Yudong Zhang (1 shared paper)Hua Hu (1 shared paper)Xiang Yu (1 shared paper)Min Li (1 shared paper)Shuihua Wang (1 shared paper)Qinghua Zhou (1 shared paper)
- Journals
- Information Fusion (3 papers)International Journal of Neural Systems (3 papers)Alzheimer s & Dementia (1 paper)Journal of Advanced Research (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- SpainUnited KingdomGermany
In The Last Decade
C. Jiménez-Mesa
13 papers receiving 439 citations
C. Jiménez-Mesa's Hit Papers
Peers
Comparison fields: 5 of 102
- Neurology 71
- Health Informatics 11
- Health Information Management 30
- Radiology, Nuclear Medicine and Imaging 120
- Computer Vision and Pattern Recognition 101
Countries citing papers authored by C. Jiménez-Mesa
This map shows the geographic impact of C. Jiménez-Mesa'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 C. Jiménez-Mesa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Jiménez-Mesa more than expected).
Fields of papers citing papers by C. Jiménez-Mesa
This network shows the impact of papers produced by C. Jiménez-Mesa. 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 C. Jiménez-Mesa. The network helps show where C. Jiménez-Mesa may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Jiménez-Mesa, 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 | Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation Hit paper breakdown → | 2020 | 313 |
| 2 | 2020 | 24 | |
| 3 | 2023 | 17 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2021 | 11 | |
| 10 | 2024 | 7 | |
| 11 | 2025 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2025 | 1 | |
| 14 | 2022 | 0 |
About C. Jiménez-Mesa
C. Jiménez-Mesa is a scholar working on Cognitive Neuroscience, Signal Processing, Artificial Intelligence, Molecular Biology and Biomedical Engineering, having authored 14 papers that have together received 449 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), Blind Source Separation Techniques (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Brain Tumor Detection and Classification (2 papers), Dementia and Cognitive Impairment Research (2 papers), Gene expression and cancer classification (2 papers), Machine Learning in Healthcare (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Neurology (71 citations), Health Informatics (11 citations), Health Information Management (30 citations), Radiology, Nuclear Medicine and Imaging (120 citations) and Computer Vision and Pattern Recognition (101 citations). C. Jiménez-Mesa has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include J. M. Górriz, Javier Ramı́rez, Yudong Zhang, Hua Hu, Xiang Yu, Min Li, Shuihua Wang, Qinghua Zhou, Zhengchao Dong and Francisco J. Martínez. Their work appears in journals such as Information Fusion, International Journal of Neural Systems, Alzheimer s & Dementia, Journal of Advanced Research and IEEE Journal of Biomedical and Health 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.