Rahul Sharma

669 total citations
17 papers, 419 citations indexed

About

Rahul Sharma is a scholar working on Neurology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rahul Sharma has authored 17 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 6 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rahul Sharma's work include Brain Tumor Detection and Classification (13 papers), Neurological Disease Mechanisms and Treatments (4 papers) and AI in cancer detection (3 papers). Rahul Sharma is often cited by papers focused on Brain Tumor Detection and Classification (13 papers), Neurological Disease Mechanisms and Treatments (4 papers) and AI in cancer detection (3 papers). Rahul Sharma collaborates with scholars based in India, Qatar and Saudi Arabia. Rahul Sharma's co-authors include M. Tanveer, Tripti Goel, R. Murugan, Ponnuthurai Nagaratnam Suganthan, Chin‐Teng Lin, Amar Singh, Kavita Kavita, Emad Sami Jaha, Sahil Verma and N. Z. Jhanjhi and has published in prestigious journals such as Applied Soft Computing, IEEE Journal of Biomedical and Health Informatics and Journal of Solar Energy Engineering.

In The Last Decade

Rahul Sharma

14 papers receiving 408 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rahul Sharma 198 139 108 67 60 17 419
M. Akila 164 0.8× 128 0.9× 97 0.9× 42 0.6× 44 0.7× 31 541
Yogesh Kumar Rathore 96 0.5× 61 0.4× 74 0.7× 48 0.7× 62 1.0× 29 278
Hamed Taheri Gorji 93 0.5× 83 0.6× 57 0.5× 48 0.7× 33 0.6× 29 413
Rooh Ullah Khan 116 0.6× 93 0.7× 50 0.5× 67 1.0× 17 0.3× 5 275
Saravanan Srinivasan 157 0.8× 127 0.9× 121 1.1× 9 0.1× 20 0.3× 22 388
Aasia Khanum 35 0.2× 101 0.7× 48 0.4× 44 0.7× 66 1.1× 30 333
Ahmad Al Smadi 145 0.7× 132 0.9× 74 0.7× 61 0.9× 7 0.1× 33 393
Farheen Ramzan 180 0.9× 136 1.0× 96 0.9× 69 1.0× 5 0.1× 7 387
Md Tanzim Reza 76 0.4× 132 0.9× 57 0.5× 8 0.1× 80 1.3× 46 320
Muhammad Nadeem Majeed 115 0.6× 137 1.0× 60 0.6× 33 0.5× 6 0.1× 28 379

Countries citing papers authored by Rahul Sharma

Since Specialization
Citations

This map shows the geographic impact of Rahul Sharma'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 Rahul Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Sharma more than expected).

Fields of papers citing papers by Rahul Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rahul Sharma. 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 Rahul Sharma. The network helps show where Rahul Sharma may publish in the future.

Co-authorship network of co-authors of Rahul Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Sharma. A scholar is included among the top collaborators of Rahul Sharma 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 Rahul Sharma. Rahul Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Sharma, Rahul, et al.. (2025). Attentive deep learning with Randomized Vector Energy Least Square Twin Support Vector Machine for Alzheimer’s Disease diagnosis. Computers & Electrical Engineering. 126. 110412–110412.
2.
Sharma, Rahul, Mujahed Al‐Dhaifallah, & Adnan Shakoor. (2025). FuseNet: Attention-learning based MRI–PET slice fusion for Alzheimer’s diagnosis. Computers & Electrical Engineering. 127. 110556–110556.
3.
Sharma, Rahul, Tripti Goel, M. Tanveer, & Mujahed Al‐Dhaifallah. (2025). Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1281–1291. 3 indexed citations
4.
Tanveer, M., Tushar Goel, Rahul Sharma, et al.. (2024). Ensemble deep learning for Alzheimer’s disease characterization and estimation. Nature Mental Health. 2(6). 655–667. 29 indexed citations
5.
Sharma, Rahul, et al.. (2024). Genetic Algorithm–Aided Deep Feature Selection for Improved Rice Disease Classification. Operations Research Forum. 6(1). 2 indexed citations
6.
Goel, Tripti, et al.. (2023). Multimodal Neuroimaging Based Alzheimer's Disease Diagnosis Using Evolutionary RVFL Classifier. IEEE Journal of Biomedical and Health Informatics. 29(6). 3833–3841. 35 indexed citations
7.
Tanveer, M., et al.. (2023). Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images. Qatar University QSpace (Qatar University). 1–8. 1 indexed citations
8.
Goel, Tripti, et al.. (2023). Machine learning techniques for the Schizophrenia diagnosis: a comprehensive review and future research directions. Journal of Ambient Intelligence and Humanized Computing. 14(5). 4795–4807. 22 indexed citations
9.
Sharma, Rahul, Tripti Goel, M. Tanveer, Chin‐Teng Lin, & R. Murugan. (2023). Deep-Learning-Based Diagnosis and Prognosis of Alzheimer’s Disease: A Comprehensive Review. IEEE Transactions on Cognitive and Developmental Systems. 15(3). 1123–1138. 42 indexed citations
10.
11.
Sharma, Rahul, Tripti Goel, M. Tanveer, et al.. (2022). Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis. IEEE Journal of Biomedical and Health Informatics. 27(10). 4995–5003. 29 indexed citations
12.
Goel, Tripti, et al.. (2022). Multimodal Fusion-Based Deep Learning Network for Effective Diagnosis of Alzheimer’s Disease. IEEE Multimedia. 29(2). 45–55. 52 indexed citations
13.
Sharma, Rahul, Amar Singh, Kavita Kavita, et al.. (2021). Plant Disease Diagnosis and Image Classification Using Deep Learning. Computers, materials & continua/Computers, materials & continua (Print). 71(2). 2125–2140. 68 indexed citations
14.
Sharma, Rahul, et al.. (2021). FAF-DRVFL: Fuzzy activation function based deep random vector functional links network for early diagnosis of Alzheimer disease. Applied Soft Computing. 106. 107371–107371. 52 indexed citations
15.
Sharma, Rahul, Tripti Goel, M. Tanveer, & R. Murugan. (2021). FDN-ADNet: Fuzzy LS-TWSVM based deep learning network for prognosis of the Alzheimer’s disease using the sagittal plane of MRI scans. Applied Soft Computing. 115. 108099–108099. 66 indexed citations
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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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