Paresh Rawat

453 citations
37 papers · 240 · h-index 6

Impact in

Papers in

Paresh Rawat

25 papers receiving 227 citations

Peers

Paresh Rawat
Comparison fields: 5 of 82
  • Media Technology 39
  • Computer Vision and Pattern Recognition 75
  • Toxicology 7
  • Computational Theory and Mathematics 32
  • Health Informatics 2
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Linus Ericsson United Kingdom
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Alec Lu Canada
Abhay Kumar Alok India
Xianzhong Long China
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Citations per year

Countries citing papers authored by Paresh Rawat

Since Specialization
Citations

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

Fields of papers citing papers by Paresh Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Paresh Rawat, 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 Paresh Rawat Line = papers co-authored together Paresh Rawat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202087
2 201750
3 201134
4 200723
5 202210
6
Adaptive Motion Smoothening for Video Stabilization
20137
7 20175
8 20174
9 20162
10 20202
11
Efficient Ed3wt Method For Robust Medical Image Watermarking
20191
12 20201
13 20201
14 20161
15 20171
16 20161
17 20161
18 20161
19 20151
20 20151

About Paresh Rawat

Paresh Rawat is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics and Media Technology, having authored 37 papers that have together received 240 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (6 papers), Analog and Mixed-Signal Circuit Design (6 papers), Image and Video Stabilization (5 papers), Digital Filter Design and Implementation (5 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Advanced Optical Imaging Technologies (4 papers) and Numerical Methods and Algorithms (4 papers). The work is most often cited by research in Media Technology (39 citations), Computer Vision and Pattern Recognition (75 citations), Toxicology (7 citations), Computational Theory and Mathematics (32 citations) and Health Informatics (2 citations). Paresh Rawat has collaborated with scholars based in India, United States and Nigeria. Frequent co-authors include Jyoti Singhai, Piyush Kumar Shukla, Shailja Shukla, Vandana Roy, M. Kaur, Prashant Kumar Shukla, Poonam Sharma, Sajjad Shaukat Jamal, Joseph Isabona and Stephen Ojo. Their work appears in journals such as Wireless Communications and Mobile Computing, IET Systems Biology, Journal of Healthcare Engineering, International journal of scientific and technology research and International Journal of Engineering and Advanced Technology.

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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