Anil Rao
- Radiology, Nuclear Medicine and Imaging top 2%
- Cognitive Neuroscience top 5%
- Psychiatry and Mental health top 5%
- Physiology top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Paul M. MatthewsStephen M. SmithBrandon WhitcherAchim GassRicarda MenkeGwenaëlle DouaudAndreas U. MonschSaâd Jbabdi
- Topics
- Medical Image Segmentation Techniques (5 papers)Functional Brain Connectivity Studies (5 papers)Advanced Neuroimaging Techniques and Applications (5 papers)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Anil Rao
19 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Radiology, Nuclear Medicine and Imaging 588
- Cognitive Neuroscience 402
- Psychiatry and Mental health 249
- Physiology 226
- Computer Vision and Pattern Recognition 94
Countries citing papers authored by Anil Rao
This map shows the geographic impact of Anil Rao'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 Anil Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil Rao more than expected).
Fields of papers citing papers by Anil Rao
This network shows the impact of papers produced by Anil Rao. 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 Anil Rao. The network helps show where Anil Rao may publish in the future.
Co-authorship network of co-authors of Anil Rao
This figure shows the co-authorship network connecting the top 25 collaborators of Anil Rao. A scholar is included among the top collaborators of Anil Rao 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 Anil Rao. Anil Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 33 | |
| 3 | 22 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 57 | |
| 8 | 26 | |
| 9 | 143 | |
| 10 | 18 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 49 | |
| 14 | DTI measures in crossing-fibre areas: Increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's diseasebreakdown → | 404 |
| 15 | 10 | |
| 16 | 123 | |
| 17 | 91 | |
| 18 | 1 | |
| 19 | 48 |
About Anil Rao
Anil Rao is a scholar working on Health Informatics, Psychiatry and Mental health and Cognitive Neuroscience, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Functional Brain Connectivity Studies (5 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). The work is most often cited by research in Computational Mathematics (18 citations), Radiology, Nuclear Medicine and Imaging (588 citations) and Cognitive Neuroscience (402 citations). Anil Rao has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Paul M. Matthews, Stephen M. Smith, Brandon Whitcher, Achim Gass, Ricarda Menke, Gwenaëlle Douaud, Andreas U. Monsch, Saâd Jbabdi, Timothy E.J. Behrens and Gordon Kindlmann. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.
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.