Akshay Pai

3.5k citations
30 papers · 372 · h-index 9

Impact in

Papers in

Akshay Pai

26 papers receiving 366 citations

Peers

Akshay Pai
Comparison fields: 5 of 83
  • Neurology 98
  • Psychiatry and Mental health 133
  • Health Information Management 28
  • Health Informatics 8
  • Radiology, Nuclear Medicine and Imaging 78
Replace for the Alzheimer’s Disease Neuroimaging Initiative with:
for the Alzheimer’s Disease Neuroimaging Initiative United States
Yubraj Gupta Germany
Ramesh Kumar Lama South Korea
S Spasov Italy
Yonggui Yang China
Siqi Liu China
Tory O. Frizzell Canada
Jussi Mattila Finland
Kanghan Oh South Korea
Akshay Pai relative to for the Alzheimer’s Disease Neuroimaging Initiative United States for the Alzheimer’s Disease Neuroimaging Initiative's profile →
Citations per field
00.5×1.5×
for the Alzheimer’s Disease Neuroimaging Initiative · 1×
Citations per year

Countries citing papers authored by Akshay Pai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Akshay Pai Line = papers co-authored together Akshay Pai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016125
2 201995
3 202028
4 201427
5 202120
6 201514
7
Dementia Diagnosis using MRI Cortical Thickness, Shape, Texture, and Volumetry
201610
8 20219
9 20178
10 20206
11 20235
12 20153
13 20133
14 20222
15 20232
16 20192
17 20112
18 20142
19 20132
20 20141

About Akshay Pai

Akshay Pai is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Neurology, Epidemiology and Artificial Intelligence, having authored 30 papers that have together received 372 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Brain Tumor Detection and Classification (4 papers), Acute Ischemic Stroke Management (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Dementia and Cognitive Impairment Research (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Neurology (98 citations), Psychiatry and Mental health (133 citations), Health Information Management (28 citations), Health Informatics (8 citations) and Radiology, Nuclear Medicine and Imaging (78 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, M. Jorge Cardoso, Sébastien Ourselin, Mostafa Mehdipour Ghazi, Marc Modat, Erik B. Dam and Sune Darkner. Their work appears in journals such as Alzheimer s & Dementia, SIAM Journal on Imaging Sciences, Applied Sciences, Medical Image Analysis and Journal of Magnetic Resonance Imaging.

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.

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