José V. Manjón
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Cognitive Neuroscience top 2%
- Neurology top 0.5%
- Psychiatry and Mental health top 1%
- Co-authors
- Pierrick CoupéMontserrat RoblesD. Louis CollinsLuis Martí‐BonmatíVladimir FonovAntoni BuadesJuan José LullGracián García‐Martí
- Topics
- Medical Image Segmentation Techniques (33 papers)Image and Signal Denoising Methods (24 papers)Advanced Neuroimaging Techniques and Applications (18 papers)
- Journals
- PLoS ONENeuroImageStroke
In The Last Decade
José V. Manjón
80 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Radiology, Nuclear Medicine and Imaging 2.2k
- Computer Vision and Pattern Recognition 2.1k
- Cognitive Neuroscience 1.2k
- Neurology 924
- Psychiatry and Mental health 891
Countries citing papers authored by José V. Manjón
This map shows the geographic impact of José V. Manjón'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 V. Manjón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José V. Manjón more than expected).
Fields of papers citing papers by José V. Manjón
This network shows the impact of papers produced by José V. Manjón. 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 V. Manjón. The network helps show where José V. Manjón may publish in the future.
Co-authorship network of co-authors of José V. Manjón
This figure shows the co-authorship network connecting the top 25 collaborators of José V. Manjón. A scholar is included among the top collaborators of José V. Manjón 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 José V. Manjón. José V. Manjón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 61 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 44 | |
| 14 | 35 | |
| 15 | 43 | |
| 16 | 27 | |
| 17 | SNIPE: A New Method to Identify Imaging Biomarker for Early Detection of Alzheimer’s Disease | 1 |
| 18 | 60 | |
| 19 | 176 | |
| 20 | A novel method demonstrates that gray and white matter have measurable differences in cerebral perfusion and apparent diffusion coefficient values in stroke penumbra | 1 |
About José V. Manjón
José V. Manjón is a scholar working on Computer Vision and Pattern Recognition, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 85 papers that have together received 5.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (33 papers), Image and Signal Denoising Methods (24 papers) and Advanced Neuroimaging Techniques and Applications (18 papers). The work is most often cited by research in Neurology (924 citations), Computer Vision and Pattern Recognition (2.1k citations) and Radiology, Nuclear Medicine and Imaging (2.2k citations). José V. Manjón has collaborated with scholars based in Spain, France and Canada. Frequent co-authors include Pierrick Coupé, Montserrat Robles, D. Louis Collins, Luis Martí‐Bonmatí, Vladimir Fonov, Antoni Buades, Juan José Lull, Gracián García‐Martí, Jens C. Pruessner and Simon Fristed Eskildsen. Their work appears in journals such as PLoS ONE, NeuroImage and Stroke.
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.