Shubham Sharma

69 total papers · 578 total citations
33 papers, 323 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 323 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 AI in cancer detection (3 papers), Photonic Crystal and Fiber Optics (3 papers) and Brain Tumor Detection and Classification (3 papers). Shubham Sharma is often cited by papers focused on AI in cancer detection (3 papers), Photonic Crystal and Fiber Optics (3 papers) and Brain Tumor Detection and Classification (3 papers). Shubham Sharma collaborates with scholars based in India, Saudi Arabia and United States. Shubham Sharma's co-authors include Tanupriya Choudhury, Archit Aggarwal, Dhiraj Kumar Srivastava, Ashok Kumar, Mandeep Mittal, Vinod Muthusamy, Yunfeng Zhang, Kush R. Varshney, Djallel Bouneffouf and Shubha Ranjan Dutta 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 297 citations

Author Peers

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

Author						Papers	Cites
Shubham Sharma	152	56	54	53	53	33	323
Khalaf Alshamrani	70 0.5×	14 0.3×	115 2.1×	20 0.4×	17 0.3×	22	273
Yassir Edrees Almalki	98 0.6×	14 0.3×	133 2.5×	7 0.1×	34 0.6×	32	248
Dong Hwan Kim	26 0.2×	25 0.4×	43 0.8×	8 0.2×	7 0.1×	36	329
Hassan A. Alshamrani	64 0.4×	4 0.1×	58 1.1×	12 0.2×	31 0.6×	28	240
Hongfeng Li	120 0.8×	15 0.3×	35 0.6×	8 0.2×	8 0.2×	31	364
Khaled Harrar	83 0.5×	24 0.4×	76 1.4×	9 0.2×	16 0.3×	29	298
Rosario Megna	24 0.2×	22 0.4×	117 2.2×	11 0.2×	7 0.1×	26	310
Faisal Amir	72 0.5×	6 0.1×	106 2.0×	8 0.2×	9 0.2×	41	290
R. Joe Stanley	189 1.2×	27 0.5×	82 1.5×	15 0.3×	7 0.1×	25	339
Jakub Kufel	51 0.3×	16 0.3×	105 1.9×	18 0.3×	6 0.1×	25	282

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

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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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