Pragya Sharma

53 total papers · 494 total citations
34 papers, 352 citations indexed

About

Pragya Sharma is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Pragya Sharma has authored 34 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 6 papers in Electrical and Electronic Engineering and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Pragya Sharma's work include Non-Invasive Vital Sign Monitoring (10 papers), Indoor and Outdoor Localization Technologies (5 papers) and Microwave Imaging and Scattering Analysis (4 papers). Pragya Sharma is often cited by papers focused on Non-Invasive Vital Sign Monitoring (10 papers), Indoor and Outdoor Localization Technologies (5 papers) and Microwave Imaging and Scattering Analysis (4 papers). Pragya Sharma collaborates with scholars based in United States, India and Sweden. Pragya Sharma's co-authors include Edwin C. Kan, Xiaonan Hui, Jianlin Zhou, Manish Sharma, U. Rajendra Acharya, Ram Bilas Pachori, D. L. Hysell, Anupam Sharma, M. C. Kharkwal and B.R. Sharma and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Sensors and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Pragya Sharma

30 papers receiving 334 citations

Author Peers

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

Author						Papers	Cites
Pragya Sharma	175	80	72	59	36	34	352
Jiewen Zheng	191 1.1×	112 1.4×	30 0.4×	45 0.8×	7 0.2×	30	400
Chenglong Dai	41 0.2×	63 0.8×	39 0.5×	120 2.0×	56 1.6×	31	312
Vaibhav Pandey	216 1.2×	26 0.3×	55 0.8×	38 0.6×	10 0.3×	25	397
S. Satheeskumaran	113 0.6×	180 2.3×	41 0.6×	111 1.9×	36 1.0×	16	376
Janet Roveda	91 0.5×	49 0.6×	94 1.3×	39 0.7×	12 0.3×	45	363
Emine Doğru Bolat	65 0.4×	85 1.1×	45 0.6×	124 2.1×	44 1.2×	29	343
David Ayllón	127 0.7×	58 0.7×	97 1.3×	61 1.0×	75 2.1×	30	323
Tatsuya Suzuki	39 0.2×	17 0.2×	68 0.9×	85 1.4×	12 0.3×	42	381
D. K. Raghuvanshi	90 0.5×	139 1.7×	54 0.8×	67 1.1×	34 0.9×	15	301
Mokhtar Attari	172 1.0×	43 0.5×	103 1.4×	29 0.5×	14 0.4×	36	306

Countries citing papers authored by Pragya Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Pragya Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pragya Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Pragya Sharma. A scholar is included among the top collaborators of Pragya 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 Pragya Sharma. Pragya 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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