Tripti Sharma

947 citations
92 papers · 591 · h-index 14

Impact in

Papers in

Tripti Sharma

82 papers receiving 507 citations

Peers

Tripti Sharma
Comparison fields: 5 of 104
  • Computer Networks and Communications 219
  • Electrical and Electronic Engineering 274
  • Information Systems 62
  • Computational Theory and Mathematics 44
  • Biomedical Engineering 95
Replace Muhammad Adnan with:
Muhammad Adnan Pakistan
M. Maheswari India
G. Santhosh Kumar India
Mehdi Golsorkhtabaramiri Iran
Tadanori Mizuno Japan
Li Pan China
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A. J. Yuste Spain
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Citations per field
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Citations per year

Countries citing papers authored by Tripti Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Tripti Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tripti Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tripti Sharma Line = papers co-authored together Tripti Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202248
2 201446
3 202238
4 201535
5 202223
6 201420
7 201019
8 202218
9 201218
10 201517
11 201117
12 202216
13
High speed, low power 8t full adder cell with 45% improvement in threshold loss problem
201015
14 201114
15
Wallace Tree Multiplier Designs: A Performance Comparison Review
201411
16 201310
17 201110
18 20129
19 20108
20 20228

About Tripti Sharma

Tripti Sharma is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Biomedical Engineering, Artificial Intelligence and Information Systems, having authored 92 papers that have together received 591 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (29 papers), Advancements in Semiconductor Devices and Circuit Design (25 papers), Analog and Mixed-Signal Circuit Design (17 papers), Energy Efficient Wireless Sensor Networks (16 papers), VLSI and FPGA Design Techniques (9 papers), IoT-based Smart Home Systems (9 papers), Mobile Ad Hoc Networks (9 papers) and Energy Harvesting in Wireless Networks (6 papers). The work is most often cited by research in Computer Networks and Communications (219 citations), Electrical and Electronic Engineering (274 citations), Information Systems (62 citations), Computational Theory and Mathematics (44 citations) and Biomedical Engineering (95 citations). Tripti Sharma has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Geetam Singh Tomar, Brijesh Kumar, Bharat Singh, Prabhdeep Singh, Rajit Nair, Arijit Mondal, Sabyasachi Banerjee, Jungyoon Kim, Paramita Paul and Won-Hyung Lee. Their work appears in journals such as Wireless Communications and Mobile Computing, Computers, materials & continua/Computers, materials & continua (Print), Computational Intelligence and Neuroscience, Journal of Stroke and Cerebrovascular Diseases and Electronics.

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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