Akshay Aggarwal
- Neurology top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Psychiatry and Mental health
- Health Information Management top 5%
- Co-authors
- Rachna JainNikita JainD. Jude HemanthMamta MittalPankaj ChopraGerrit NiezenPradeep KhannaHarold Thimbleby
- Topics
- Reservoir Engineering and Simulation Methods (5 papers)Hydraulic Fracturing and Reservoir Analysis (4 papers)Oil and Gas Production Techniques (2 papers)
- Partner nations
- IndiaBritish Virgin IslandsUnited States
In The Last Decade
Akshay Aggarwal
13 papers receiving 338 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Neurology 209
- Artificial Intelligence 149
- Computer Vision and Pattern Recognition 84
- Psychiatry and Mental health 78
- Health Information Management 58
Countries citing papers authored by Akshay Aggarwal
This map shows the geographic impact of Akshay Aggarwal'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 Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshay Aggarwal more than expected).
Fields of papers citing papers by Akshay Aggarwal
This network shows the impact of papers produced by Akshay Aggarwal. 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 Aggarwal. The network helps show where Akshay Aggarwal may publish in the future.
Co-authorship network of co-authors of Akshay Aggarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Akshay Aggarwal. A scholar is included among the top collaborators of Akshay Aggarwal 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 Akshay Aggarwal. Akshay Aggarwal 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 | 5 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain imagesbreakdown → | 277 |
| 8 | 36 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | Performance of Assisted History Matching Techniques When Utilizing Multiple Initial Geologic Models | 1 |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 4 |
About Akshay Aggarwal
Akshay Aggarwal is a scholar working on Ocean Engineering, Discrete Mathematics and Combinatorics and Neurology, having authored 16 papers that have together received 357 indexed citations. Recurring topics across this work include Reservoir Engineering and Simulation Methods (5 papers), Hydraulic Fracturing and Reservoir Analysis (4 papers) and Oil and Gas Production Techniques (2 papers). The work is most often cited by research in Neurology (209 citations), Health Information Management (58 citations) and Psychiatry and Mental health (78 citations). Akshay Aggarwal has collaborated with scholars based in India, British Virgin Islands and United States. Frequent co-authors include Rachna Jain, Nikita Jain, D. Jude Hemanth, Mamta Mittal, Pankaj Chopra, Gerrit Niezen, Pradeep Khanna, Harold Thimbleby, Ashif Iqubal and Sudipta Roy. Their work appears in journals such as Phytotherapy Research, Symmetry and Cognitive Systems Research.
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.