Shubham Sharma

587 total citations
33 papers, 331 citations indexed

About

Shubham Sharma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Shubham Sharma has authored 33 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Shubham Sharma's work include Photonic and Optical Devices (3 papers), Brain Tumor Detection and Classification (3 papers) and AI in cancer detection (3 papers). Shubham Sharma is often cited by papers focused on Photonic and Optical Devices (3 papers), Brain Tumor Detection and Classification (3 papers) and AI in cancer detection (3 papers). Shubham Sharma collaborates with scholars based in India, Saudi Arabia and United States. Shubham Sharma's co-authors include Archit Aggarwal, Tanupriya Choudhury, Mandeep Mittal, Ashok Kumar, Dhiraj Kumar Srivastava, Yunfeng Zhang, Djallel Bouneffouf, Vinod Muthusamy, Kush R. Varshney and Sithara Vivek and has published in prestigious journals such as Scientific Reports, SAE technical papers on CD-ROM/SAE technical paper series and Nanomedicine.

In The Last Decade

Shubham Sharma

25 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shubham Sharma India 8 155 57 55 55 53 33 331
Marcus Bloice Austria 9 77 0.5× 23 0.4× 9 0.2× 68 1.2× 6 0.1× 15 292
Thomas M. Deserno Germany 8 50 0.3× 19 0.3× 10 0.2× 66 1.2× 17 0.3× 12 226
Qiong Han China 10 139 0.9× 15 0.3× 5 0.1× 106 1.9× 4 0.1× 33 384
Sajib Saha Australia 12 44 0.3× 19 0.3× 33 0.6× 434 7.9× 87 1.6× 58 603
Hassan A. Alshamrani Saudi Arabia 10 71 0.5× 4 0.1× 13 0.2× 63 1.1× 35 0.7× 29 255
R. Joe Stanley United States 11 193 1.2× 27 0.5× 15 0.3× 82 1.5× 7 0.1× 25 343
Meghavi Rana India 6 107 0.7× 14 0.2× 48 0.9× 95 1.7× 2 0.0× 11 253
Sandra Jardim Portugal 8 90 0.6× 5 0.1× 15 0.3× 54 1.0× 3 0.1× 17 273
Łukasz Czogalik Poland 6 50 0.3× 10 0.2× 17 0.3× 94 1.7× 7 0.1× 16 252
Anna Lis Poland 4 35 0.2× 11 0.2× 14 0.3× 41 0.7× 4 0.1× 11 198

Countries citing papers authored by Shubham Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Shubham Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubham Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Shubham Sharma. A scholar is included among the top collaborators of Shubham 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 Shubham Sharma. Shubham Sharma 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.
Sharma, Shubham & Arvind Selwal. (2025). Improved Deepfake Detection with Optimized Preprocessing for Low-Quality Images. Procedia Computer Science. 258. 507–516. 1 indexed citations
2.
Bhagat, Monu, et al.. (2025). Adaptive optimization of natural coagulants using hybrid machine learning approach for sustainable water treatment. Scientific Reports. 15(1). 16096–16096. 8 indexed citations
3.
4.
Singh, Gurmeet, Shubham Sharma, & Ajeet Kumar. (2024). Design and simulation of solid‐core octagonal photonic crystal fiber for terahertz wave propagation. Microwave and Optical Technology Letters. 66(5). 6 indexed citations
5.
Dewangan, Hitesh Kumar, Kamal Shah, Rajiv Sharma, et al.. (2024). Emerging Trends on Nanovaccine Administration and Functionalization Strategies for Immunization. Journal of Computational Biophysics and Chemistry. 23(5). 575–604. 3 indexed citations
6.
Swami, Rajan, et al.. (2024). Unlocking the Power of Sugar: Carbohydrate Ligands as Key Players in Nanotherapeutic-Assisted Targeted Cancer Therapy. Nanomedicine. 19(5). 431–453. 4 indexed citations
7.
Sharma, Shubham, et al.. (2023). APPLICATION OF ARTIFICIAL INTELLIGENCE IN WILDLIFE DISEASE SURVEILLANCE. 13(1). 54–59. 1 indexed citations
8.
Sharma, Shubham, et al.. (2023). Smart Song Recommendation System using Machine Learning. 609–614.
9.
Singh, Gurmeet, Shubham Sharma, & Ajeet Kumar. (2023). Design and analysis of spider-web photonic crystal fiber in the terahertz regime. Indian Journal of Physics. 98(8). 2917–2922. 4 indexed citations
10.
Sharma, Shubham, et al.. (2022). Rail Pad Dynamic Properties: A Review. Lecture notes in mechanical engineering. 57–70. 2 indexed citations
11.
Mishra, Abhishek, et al.. (2022). Review on lightweight materials, additive manufacturing techniques and design optimization of an airplane. AIP conference proceedings. 2668. 20004–20004. 4 indexed citations
12.
Sharma, Shubham. (2020). Detection of Image Forgery. International Journal of Engineering Research and. V9(6). 1 indexed citations
13.
Sharma, Shubham, et al.. (2019). Brain Tumor Extraction and Classification from MRI Images. International Journal of Engineering and Advanced Technology. 8(5s3). 477–481.
14.
Sharma, Shubham, Archit Aggarwal, & Tanupriya Choudhury. (2018). Breast Cancer Detection Using Machine Learning Algorithms. 114–118. 134 indexed citations
15.
Chaurasia, Vijayshri & Shubham Sharma. (2016). Similarity based kickout method for fractal image compression. 26 (4 .)–26 (4 .). 1 indexed citations
16.
Sharma, Shubham, Himanshu Tyagi, Naveen Kumar, & Vikrant Yadav. (2014). Comparative Tribological Investigation of Mahua Oil and its Chemically Modified Derivatives. SAE international journal of fuels and lubricants. 7(2). 360–365. 7 indexed citations
17.
18.
Upadhyaya, Hari D., et al.. (2011). Plant Genetic Resources for Food and Nutritional Security. Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). 10(1). 93–8. 2 indexed citations
19.
Sharma, B. & Shubham Sharma. (2009). Antioxidants: Tools to enhance livestock productivity. 5(19). 3–15. 2 indexed citations
20.
Sharma, Shubham, et al.. (2003). Moneylender's Positive Image: Paradigms and Rural Development. Economic and political weekly. 1713–1720. 5 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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