Saumil Maheshwari

576 total citations
13 papers, 178 citations indexed

About

Saumil Maheshwari is a scholar working on Artificial Intelligence, Health Information Management and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Saumil Maheshwari has authored 13 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Health Information Management and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Saumil Maheshwari's work include Artificial Intelligence in Healthcare (5 papers), Machine Learning in Healthcare (4 papers) and COVID-19 diagnosis using AI (3 papers). Saumil Maheshwari is often cited by papers focused on Artificial Intelligence in Healthcare (5 papers), Machine Learning in Healthcare (4 papers) and COVID-19 diagnosis using AI (3 papers). Saumil Maheshwari collaborates with scholars based in India and Italy. Saumil Maheshwari's co-authors include Anupam Shukla, Ritu Tiwari, Abhishek Dixit, Rahul Dubey, Akash Saxena and Aman Agarwal and has published in prestigious journals such as Biomedizinische Technik/Biomedical Engineering, IETE Journal of Research and Traitement du signal.

In The Last Decade

Saumil Maheshwari

12 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saumil Maheshwari India 7 62 58 54 39 31 13 178
Nihad Karim Chowdhury Bangladesh 7 68 1.1× 40 0.7× 78 1.4× 7 0.2× 8 0.3× 10 198
Peilun Shi Hong Kong 5 76 1.2× 57 1.0× 67 1.2× 7 0.2× 13 0.4× 8 234
Tanvir Fatima Naik Bukht Pakistan 7 84 1.4× 103 1.8× 71 1.3× 10 0.3× 12 0.4× 15 228
Susama Bagchi Malaysia 8 49 0.8× 32 0.6× 28 0.5× 15 0.4× 8 0.3× 26 125
Deepak Mane India 7 60 1.0× 61 1.1× 22 0.4× 4 0.1× 11 0.4× 40 157
Xiangyuan Zhu China 6 76 1.2× 177 3.1× 19 0.4× 5 0.1× 5 0.2× 16 280
Bernardo Camajori Tedeschini Italy 9 101 1.6× 19 0.3× 18 0.3× 40 1.0× 5 0.2× 20 260
Alejandro Mora-Rubio Colombia 8 82 1.3× 95 1.6× 73 1.4× 2 0.1× 8 0.3× 11 256
P. Sivakumar India 9 22 0.4× 41 0.7× 10 0.2× 15 0.4× 3 0.1× 32 213
Arpan Basu India 8 175 2.8× 60 1.0× 146 2.7× 2 0.1× 9 0.3× 13 283

Countries citing papers authored by Saumil Maheshwari

Since Specialization
Citations

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

Fields of papers citing papers by Saumil Maheshwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saumil Maheshwari

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

All Works

13 of 13 papers shown
1.
Dixit, Abhishek, et al.. (2024). Leveraging Transfer Learning for Enhanced Plant Leaf Disease Detection. 153–158. 5 indexed citations
2.
Dubey, Rahul, et al.. (2022). Mango Plant Disease Detection System Using Hybrid BBHE and CNN Approach. Traitement du signal. 39(3). 1071–1078. 19 indexed citations
3.
Dubey, Rahul, et al.. (2022). Orchard Boumans Algorithm and MRF Approach Based on Full Threshold Segmentation for Dental X-Ray Images. Traitement du signal. 39(2). 737–744. 4 indexed citations
4.
Maheshwari, Saumil, et al.. (2022). Ball-Bearing Fault Classification Using Comparative Analysis of Wavelet Coefficient based on Entropy Measurement. IETE Journal of Research. 70(2). 1122–1132. 7 indexed citations
5.
Maheshwari, Saumil, et al.. (2020). Feature engineering combined with 1-D convolutional neural network for improved mortality prediction. Bio-Algorithms and Med-Systems. 16(4). 2 indexed citations
6.
Maheshwari, Saumil, et al.. (2020). Detection of Pediatric Pneumonia from Chest X-Ray Images using CNN and Transfer Learning. 85–92. 38 indexed citations
7.
Maheshwari, Saumil, et al.. (2019). Twitter Opinion Mining Using Sentiment Analysis. World Scientific News. 121. 78–87. 2 indexed citations
8.
Maheshwari, Saumil, Aman Agarwal, Anupam Shukla, & Ritu Tiwari. (2019). A comprehensive evaluation for the prediction of mortality in intensive care units with LSTM networks: patients with cardiovascular disease. Biomedizinische Technik/Biomedical Engineering. 65(4). 435–446. 12 indexed citations
9.
Maheshwari, Saumil, et al.. (2018). An intelligible deep convolution neural network based approach for classification of diabetic retinopathy. Bio-Algorithms and Med-Systems. 14(2). 12 indexed citations
10.
Maheshwari, Saumil, et al.. (2018). Three Dimensional Path Planning for UAVs in Dynamic Environment using Glow-worm Swarm Optimization. Procedia Computer Science. 133. 230–239. 50 indexed citations
11.
Maheshwari, Saumil, et al.. (2018). Human-Machine Interface System for pre-Diagnosis of Diseasesusing Machine Learning. 71–75. 5 indexed citations
12.
13.
Maheshwari, Saumil, et al.. (2017). Efficient Support Vector Machine for Multi-Core Systems. 2. 1–6.

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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