Úrsula Pérez‐Ramírez
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
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- Brain Tumor Detection and Classification
Papers in
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- Functional Brain Connectivity Studies 6
- Neural dynamics and brain function 3
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- Advanced Neuroimaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 2
- Medical Imaging Techniques and Applications 2
- Co-authors
- David Moratal (13 shared papers)Estanislao Arana (5 shared papers)Santiago Canals (9 shared papers)Wolfgang H. Sommer (7 shared papers)Andrea Moreno (3 shared papers)Patrick Bach (4 shared papers)Falk Kiefer (4 shared papers)Peter Kirsch (3 shared papers)
In The Last Decade
Úrsula Pérez‐Ramírez
15 papers receiving 273 citations
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 109
- Neurology 34
- Cellular and Molecular Neuroscience 65
- Biological Psychiatry 6
- Radiology, Nuclear Medicine and Imaging 51
Countries citing papers authored by Úrsula Pérez‐Ramírez
This map shows the geographic impact of Úrsula Pérez‐Ramírez'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 Úrsula Pérez‐Ramírez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Úrsula Pérez‐Ramírez more than expected).
Fields of papers citing papers by Úrsula Pérez‐Ramírez
This network shows the impact of papers produced by Úrsula Pérez‐Ramírez. 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 Úrsula Pérez‐Ramírez. The network helps show where Úrsula Pérez‐Ramírez may publish in the future.
Co-authors
The 25 scholars most cited alongside Úrsula Pérez‐Ramírez, 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 | 2019 | 69 | |
| 2 | Finding influential nodes for integration in brain networks using optimal percolation theory | 2018 | 61 |
| 3 | 2016 | 28 | |
| 4 | 2021 | 20 | |
| 5 | 2019 | 15 | |
| 6 | 2022 | 15 | |
| 7 | 2016 | 14 | |
| 8 | 2023 | 10 | |
| 9 | 2013 | 10 | |
| 10 | 2016 | 8 | |
| 11 | 2014 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 2020 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2017 | 3 |
About Úrsula Pérez‐Ramírez
Úrsula Pérez‐Ramírez is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology and Neurology, having authored 15 papers that have together received 274 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Brain Tumor Detection and Classification (3 papers), Mental Health Research Topics (3 papers), Neural dynamics and brain function (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (109 citations), Neurology (34 citations), Cellular and Molecular Neuroscience (65 citations), Biological Psychiatry (6 citations) and Radiology, Nuclear Medicine and Imaging (51 citations). Úrsula Pérez‐Ramírez has collaborated with scholars based in Spain, Germany and Italy. Frequent co-authors include David Moratal, Estanislao Arana, Santiago Canals, Wolfgang H. Sommer, Andrea Moreno, Patrick Bach, Falk Kiefer, Peter Kirsch, Lucas C. Parra and Flaviano Morone. Their work appears in journals such as Addiction Biology, Computer Methods in Biomechanics & Biomedical Engineering, Journal of the National Comprehensive Cancer Network, Computerized Medical Imaging and Graphics and Journal of Neuroscience.
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.