Leema Nelson

591 total citations
64 papers, 289 citations indexed

About

Leema Nelson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Leema Nelson has authored 64 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Leema Nelson's work include AI in cancer detection (10 papers), Brain Tumor Detection and Classification (9 papers) and Artificial Intelligence in Healthcare (8 papers). Leema Nelson is often cited by papers focused on AI in cancer detection (10 papers), Brain Tumor Detection and Classification (9 papers) and Artificial Intelligence in Healthcare (8 papers). Leema Nelson collaborates with scholars based in India, United States and Nepal. Leema Nelson's co-authors include S. Gomathi, P. Ramesh, Sarabjeet Singh, R Surendran, A. Mohan, Avinash Sharma, S. Gomathi, Shanmugasundaram Hariharan, Sudhakar Kumar and A. V. V. Sudhakar and has published in prestigious journals such as Computational Biology and Chemistry, Journal of The Institution of Engineers (India) Series D and INTELIGENCIA ARTIFICIAL.

In The Last Decade

Leema Nelson

48 papers receiving 279 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leema Nelson India 10 68 55 53 49 28 64 289
Mohammad Shuaib Mir Saudi Arabia 10 57 0.8× 37 0.7× 31 0.6× 85 1.7× 33 1.2× 32 289
Erdal Başaran Türkiye 9 128 1.9× 65 1.2× 59 1.1× 31 0.6× 48 1.7× 20 313
G. Sajiv India 8 53 0.8× 75 1.4× 25 0.5× 26 0.5× 19 0.7× 55 263
Muhammad Minoar Hossain Bangladesh 9 74 1.1× 32 0.6× 40 0.8× 45 0.9× 15 0.5× 35 241
Rishika Yadav India 8 51 0.8× 33 0.6× 22 0.4× 85 1.7× 11 0.4× 29 279
R. Pugalenthi India 7 85 1.3× 54 1.0× 114 2.2× 13 0.3× 46 1.6× 17 246
N. Bharanidharan India 11 162 2.4× 59 1.1× 92 1.7× 32 0.7× 80 2.9× 32 303
Ferhat Bozkurt Türkiye 11 122 1.8× 119 2.2× 75 1.4× 15 0.3× 34 1.2× 38 288
Sujatha Canavoy Narahari India 8 55 0.8× 47 0.9× 27 0.5× 22 0.4× 30 1.1× 27 192
Gregorius Natanael Elwirehardja Indonesia 7 52 0.8× 36 0.7× 40 0.8× 58 1.2× 7 0.3× 32 268

Countries citing papers authored by Leema Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Leema Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leema Nelson

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

All Works

20 of 20 papers shown
1.
Kumar, K. Suresh, et al.. (2025). Systematic review of privacy-preserving Federated Learning in decentralized healthcare systems. Franklin Open. 13. 100440–100440. 1 indexed citations
2.
Meda, Alice, et al.. (2025). DKCN-Net: Deep kronecker convolutional neural network-based lung disease detection with federated learning. Computational Biology and Chemistry. 116. 108376–108376. 1 indexed citations
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Nelson, Leema, et al.. (2024). Deep Learning Models for Age and Gender Prediction using Facial Images. 1–5. 3 indexed citations
6.
Nelson, Leema, et al.. (2024). Brain Stroke Prediction from Computed Tomography Images Using Efficientnet-B0. 1–4. 1 indexed citations
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Nelson, Leema, et al.. (2024). Transfer Learning of VGG19 for the Classification of Apple Leaf Diseases. 1643–1648. 9 indexed citations
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Nelson, Leema, et al.. (2024). Enhancing Kidney Disease Classification through Transfer Learning with VGG16. 1–6. 7 indexed citations
10.
Nelson, Leema, et al.. (2024). Smart Anomaly Detection in Solar Power Plants with Auto Encoder and LSTM Integration. 252–256. 3 indexed citations
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Nelson, Leema, et al.. (2024). Detecting Colon and Lung Cancer through Deep Learning CNN Model. 1–6. 6 indexed citations
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Nelson, Leema, et al.. (2023). Breast Cancer Screening from Histopathology Images using Pre-trained Sequential Model. 1–4. 1 indexed citations
15.
Nelson, Leema, et al.. (2023). Potato leaf disease prediction using RMSProp, Adam and SGD optimizers. 343–347. 11 indexed citations
16.
Nelson, Leema, et al.. (2023). MCSVM and MCRVM based Contingency Classification Model. 26. 440–443. 2 indexed citations
17.
Nelson, Leema, et al.. (2023). Resnet 50 Based Classification Model for Skin Cancer Detection Using Dermatoscopic Images. 1–5. 18 indexed citations
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Nelson, Leema, et al.. (2023). Improved Performance of Canny Edge Detection in Low-Light Conditions. 23. 220–225.

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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2026