Prachi Sharma

58 total papers · 866 total citations
35 papers, 667 citations indexed

About

Prachi Sharma is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Prachi Sharma has authored 35 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 18 papers in Materials Chemistry and 12 papers in Biomedical Engineering. Recurrent topics in Prachi Sharma's work include Gas Sensing Nanomaterials and Sensors (7 papers), 2D Materials and Applications (7 papers) and Perovskite Materials and Applications (5 papers). Prachi Sharma is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (7 papers), 2D Materials and Applications (7 papers) and Perovskite Materials and Applications (5 papers). Prachi Sharma collaborates with scholars based in India, Russia and United States. Prachi Sharma's co-authors include Nishant Tripathi, Prabhash Mishra, Vladimir Pavelyev, Sunil Kumar, F. Calle, Navneet Gupta, Shayla Sawyer, Anushree Jatrana, Jian Gao and Dali Shao and has published in prestigious journals such as Nature Communications, Nano Letters and Journal of The Electrochemical Society.

In The Last Decade

Prachi Sharma

35 papers receiving 648 citations

Author Peers

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

Author						Papers	Cites
Prachi Sharma	422	373	210	83	69	35	667
Hemen Kalita	406 1.0×	482 1.3×	293 1.4×	73 0.9×	103 1.5×	34	793
Yanan Zou	358 0.8×	296 0.8×	207 1.0×	91 1.1×	178 2.6×	26	684
Hongyi Qin	269 0.6×	267 0.7×	200 1.0×	68 0.8×	36 0.5×	36	564
Siti Zulaikha Ngah Demon	326 0.8×	278 0.7×	294 1.4×	156 1.9×	70 1.0×	29	685
Kusum Kumari	401 1.0×	246 0.7×	210 1.0×	165 2.0×	116 1.7×	52	616
Pika Jha	376 0.9×	378 1.0×	223 1.1×	99 1.2×	56 0.8×	28	608
Yi Jiang	232 0.5×	264 0.7×	302 1.4×	111 1.3×	128 1.9×	18	703
Lingli Huang	420 1.0×	494 1.3×	174 0.8×	30 0.4×	72 1.0×	35	791
Sonal Padalkar	212 0.5×	334 0.9×	244 1.2×	73 0.9×	179 2.6×	39	749
Hu Wang	250 0.6×	279 0.7×	86 0.4×	92 1.1×	72 1.0×	47	725

Countries citing papers authored by Prachi Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Prachi Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prachi Sharma

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