Paresh Rawat

449 citations
37 papers · 236 · h-index 6

Impact in

Papers in

Paresh Rawat

24 papers receiving 223 citations

Peers

Paresh Rawat
Comparison fields: 5 of 82
  • Media Technology 38
  • Computer Vision and Pattern Recognition 74
  • Toxicology 7
  • Computational Theory and Mathematics 32
  • Signal Processing 16
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Linus Ericsson United Kingdom
Ziqi Liu China
Zhao Tian China
Andre Guntoro Germany
Wenping Zhu China
A. Gacsádi Romania
Lale Özyılmaz Türkiye
Abhay Kumar Alok India
Huidong Liu China
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Citations per field
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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 201749
3 201134
4 200723
5 20229
6
Adaptive Motion Smoothening for Video Stabilization
20137
7 20175
8 20174
9 20162
10 20161
11 20171
12 20201
13 20101
14 20161
15 20161
16 20201
17 20181
18 20151
19 20181
20 20161

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 236 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (6 papers), Low-power high-performance VLSI design (6 papers), Image and Video Stabilization (5 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), Digital Filter Design and Implementation (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Advanced Optical Imaging Technologies (4 papers) and Quantum-Dot Cellular Automata (4 papers). The work is most often cited by research in Media Technology (38 citations), Computer Vision and Pattern Recognition (74 citations), Toxicology (7 citations), Computational Theory and Mathematics (32 citations) and Signal Processing (16 citations). Paresh Rawat has collaborated with scholars based in India, Nigeria and Germany. Frequent co-authors include Jyoti Singhai, Piyush Kumar Shukla, Vandana Roy, Poonam Sharma, Prashant Kumar Shukla, Shailja Shukla, M. Kaur, Stephen Ojo, Sajjad Shaukat Jamal and Sanjeev Kumar Gupta. 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 Trends and 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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