Mayur Sonawane

405 citations
5 papers · 5 · h-index 2

Impact in

Papers in

Journals
International Journal of Engineering Trends and Technology (1 paper)International Conference on Electrical Machines and Systems (1 paper)Journal of Emerging Technologies and Innovative Research (1 paper)
Partner nations
India

In The Last Decade

Mayur Sonawane

2 papers receiving 4 citations

Peers

Mayur Sonawane
Comparison fields: 5 of 7
  • Computer Vision and Pattern Recognition 3
  • Media Technology 1
  • Signal Processing 1
  • Automotive Engineering 1
  • Artificial Intelligence 2
Replace Luca Moschella with:
Luca Moschella Italy
Ruiqi Li China
H. S. Chen China
Adam Bates United Kingdom
Vincent-Pierre Berges United States
M. M. China
Y. F. Han China
Zhenfei Yin China
D. Boettger Chile
Mayur Sonawane relative to Luca Moschella Italy Luca Moschella's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mayur Sonawane

Since Specialization
Citations

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

Fields of papers citing papers by Mayur Sonawane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Mayur Sonawane, 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 Mayur Sonawane Line = papers co-authored together Mayur Sonawane links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 20153
2
Production friendly design and development of brushless DC machines
20161
3 20241
4
Electricity Generating Shoes
20210
5 20140

About Mayur Sonawane

Mayur Sonawane is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Media Technology, having authored 5 papers that have together received 5 indexed citations. Recurring topics across this work include Vehicle License Plate Recognition (1 paper), Induction Heating and Inverter Technology (1 paper), Innovative Energy Harvesting Technologies (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), IoT-based Smart Home Systems (1 paper), Image Processing and 3D Reconstruction (1 paper), Handwritten Text Recognition Techniques (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (3 citations), Media Technology (1 citation), Signal Processing (1 citation), Automotive Engineering (1 citation) and Artificial Intelligence (2 citations). Mayur Sonawane has collaborated with scholars based in India. Frequent co-authors include Sarang Joshi and Shubham Dodia. Their work appears in journals such as International Journal of Engineering Trends and Technology, International Conference on Electrical Machines and Systems and Journal of Emerging Technologies and Innovative Research.

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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