Akshay Pai
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research
Papers in
-
- Brain Tumor Detection and Classification 5
- Neurological Disease Mechanisms and Treatments 2
- Co-authors
- Lauge SørensenMads NielsenChristian IgelMartin LillholmMostafa Mehdipour GhaziMarc ModatM. Jorge CardosoSébastien Ourselin
- Journals
- Alzheimer s & Dementia (4 papers)SIAM Journal on Imaging Sciences (1 paper)NeuroImage Clinical (1 paper)Journal of Magnetic Resonance Imaging (1 paper)Annals of Clinical and Translational Neurology (1 paper)
- Partner nations
- DenmarkUnited StatesIndia
In The Last Decade
Akshay Pai
26 papers receiving 349 citations
Peers
Comparison fields: 5 of 88
- Neurology 109
- Psychiatry and Mental health 140
- Health Informatics 10
- Health Information Management 28
- Radiology, Nuclear Medicine and Imaging 89
Countries citing papers authored by Akshay Pai
This map shows the geographic impact of Akshay Pai'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 Akshay Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshay Pai more than expected).
Fields of papers citing papers by Akshay Pai
This network shows the impact of papers produced by Akshay Pai. 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 Akshay Pai. The network helps show where Akshay Pai may publish in the future.
Co-authors
The 25 scholars most cited alongside Akshay Pai, 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 | 2024 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 18 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 6 | |
| 9 | 2019 | 90 | |
| 10 | 2017 | 6 | |
| 11 | 2016 | 122 | |
| 12 | Dementia Diagnosis using MRI Cortical Thickness, Shape, Texture, and Volumetry | 2016 | 10 |
| 13 | 2015 | 3 | |
| 14 | 2015 | 13 | |
| 15 | 2014 | 27 | |
| 16 | 2014 | 1 | |
| 17 | 2014 | 0 | |
| 18 | 2014 | 1 | |
| 19 | 2013 | 3 | |
| 20 | 2010 | 1 |
About Akshay Pai
Akshay Pai is a scholar working on Neurology, Health Informatics, Radiology, Nuclear Medicine and Imaging, Biological Psychiatry and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 356 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Brain Tumor Detection and Classification (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Dementia and Cognitive Impairment Research (3 papers), Medical Imaging and Analysis (3 papers), Medical Imaging Techniques and Applications (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Neurology (109 citations), Psychiatry and Mental health (140 citations), Health Informatics (10 citations), Health Information Management (28 citations) and Radiology, Nuclear Medicine and Imaging (89 citations). Akshay Pai has collaborated with scholars based in Denmark, United States and India. Frequent co-authors include Lauge Sørensen, Mads Nielsen, Christian Igel, Martin Lillholm, Mostafa Mehdipour Ghazi, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Erik B. Dam and Sune Darkner. Their work appears in journals such as Alzheimer s & Dementia, SIAM Journal on Imaging Sciences, NeuroImage Clinical, Journal of Magnetic Resonance Imaging and Annals of Clinical and Translational Neurology.
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.