Siddharth Gupta

570 total citations
20 papers, 297 citations indexed

About

Siddharth Gupta is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Siddharth Gupta has authored 20 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Siddharth Gupta's work include AI in cancer detection (5 papers), Digital Imaging for Blood Diseases (4 papers) and COVID-19 diagnosis using AI (4 papers). Siddharth Gupta is often cited by papers focused on AI in cancer detection (5 papers), Digital Imaging for Blood Diseases (4 papers) and COVID-19 diagnosis using AI (4 papers). Siddharth Gupta collaborates with scholars based in India, United States and United Kingdom. Siddharth Gupta's co-authors include Avnish Panwar, Rishika Yadav, Sally Hassan, Kim Warren, Rahul Nijhawan, Ana S. Simaria, Suzanne S. Farid, Ankush Mittal, Sami Bourouis and Madhushi Verma and has published in prestigious journals such as Biosensors, Mathematical Problems in Engineering and Regenerative Medicine.

In The Last Decade

Siddharth Gupta

19 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siddharth Gupta India 9 80 70 60 52 32 20 297
Xuebo Liu China 7 91 1.1× 33 0.5× 80 1.3× 88 1.7× 37 1.2× 16 354
Prabhpreet Kaur India 12 185 2.3× 51 0.7× 158 2.6× 178 3.4× 18 0.6× 43 501
Linh T. Duong Vietnam 9 148 1.9× 76 1.1× 52 0.9× 94 1.8× 51 1.6× 16 402
Usharani Bhimavarapu India 9 83 1.0× 33 0.5× 51 0.8× 64 1.2× 6 0.2× 25 237
Muhammad Junaid Ali Pakistan 11 56 0.7× 31 0.4× 75 1.3× 131 2.5× 8 0.3× 22 275
Nilamani Bhoi India 12 155 1.9× 30 0.4× 197 3.3× 40 0.8× 11 0.3× 28 332
R. Geetha India 7 40 0.5× 23 0.3× 67 1.1× 58 1.1× 15 0.5× 67 244
Renjun Shuai China 8 86 1.1× 13 0.2× 140 2.3× 153 2.9× 10 0.3× 10 301
Bao Yang China 15 105 1.3× 87 1.2× 19 0.3× 17 0.3× 61 1.9× 43 543
Alfonso Medela Spain 8 53 0.7× 225 3.2× 37 0.6× 81 1.6× 10 0.3× 15 402

Countries citing papers authored by Siddharth Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Siddharth Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siddharth Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Siddharth Gupta. A scholar is included among the top collaborators of Siddharth Gupta 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 Siddharth Gupta. Siddharth Gupta 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.
Nijhawan, Rahul, et al.. (2022). CNN Models and Machine Learning Classifiers for Analysis of Goiter Disease. 586 24. 1–6. 4 indexed citations
2.
Gupta, Siddharth, Avnish Panwar, Rishika Yadav, Manisha Aeri, & Manika Manwal. (2022). Employing Deep Learning Feature Extraction Models with Learning Classifiers to Diagnose Breast Cancer in Medical Images. 2022 IEEE Delhi Section Conference (DELCON). 1–6. 5 indexed citations
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Gupta, Siddharth, et al.. (2022). Pre-trained CNN Models and Machine Learning Techniques for Brain Tumor Analysis. 1–6. 3 indexed citations
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Panwar, Avnish, et al.. (2022). Classification of Apple Leaf Diseases using Distinct Machine Learning Algorithms. 2022 IEEE Delhi Section Conference (DELCON). 1–6. 11 indexed citations
7.
Gupta, Siddharth, Avnish Panwar, Sunil Kumar, et al.. (2021). Deep Learning Approach for Stages of Severity Classification in Diabetic Retinopathy Using Color Fundus Retinal Images. Mathematical Problems in Engineering. 2021. 1–8. 37 indexed citations
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Patel, M., et al.. (2021). Prophylactic and Therapeutic Role of Vitamin D Supplementation in COVID-19: A Review. European Journal of Medical and Health Sciences. 3(4). 18–26. 1 indexed citations
10.
Agarwal, Rashi, et al.. (2021). Covid-19 Analysis using Deep Learning Methods and Computed Tomography Scans. 50. 1–5. 1 indexed citations
11.
Gupta, Siddharth, et al.. (2021). Artificial Intelligence and Deep Learning-Based Information Retrieval Framework for Assessing Student Performance. International Journal of Information Retrieval Research. 12(1). 1–27. 3 indexed citations
12.
Nijhawan, Rahul, et al.. (2021). Classification and Detection of Acne on the Skin using Deep Learning Algorithms. 110–114. 13 indexed citations
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Gupta, Siddharth, et al.. (2021). Identification of Diabetic Foot Ulcer in Images using Machine Learning. 221–225. 3 indexed citations
17.
Gupta, Siddharth, et al.. (2019). Classification of Lesions in Retinal Fundus Images for Diabetic Retinopathy Using Transfer Learning. 342–347. 31 indexed citations
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Wehbe, Rina R., et al.. (2016). Tackling User Research Challenges within the Finance Industry. 796–803. 1 indexed citations
20.
Hassan, Sally, et al.. (2015). Allogeneic Cell Therapy Bioprocess Economics and Optimization: Downstream Processing Decisions. Regenerative Medicine. 10(5). 591–609. 51 indexed citations

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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