Vinay Vakharia
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- Machine Fault Diagnosis Techniques 13
- Fault Detection and Control Systems 8
- Mechanical Engineering top 5%
- Gear and Bearing Dynamics Analysis 10
- Advanced machining processes and optimization 7
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- Industrial Vision Systems and Defect Detection 6
- Automotive Engineering top 10%
- Mechanics of Materials top 10%
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- Surface Roughness and Optical Measurements 5
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- Advanced Machining and Optimization Techniques 3
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- Stock Market Forecasting Methods 3
- Co-authors
- Vijay GuptaPavan Kumar KankarMilind ShahM. B. KiranPranav NairDhiren PatelDanil Yurievich PimenovRakesh Chaudhari
- Cited by
- Control and Systems EngineeringMechanical EngineeringIndustrial and Manufacturing Engineering
- Journals
- Scientific Reports (1 paper)Construction and Building Materials (2 papers)Sensors (1 paper)
- Partner nations
- IndiaUnited KingdomRussia
In The Last Decade
Vinay Vakharia
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Control and Systems Engineering 407
- Mechanical Engineering 481
- Industrial and Manufacturing Engineering 110
- Automotive Engineering 83
- Mechanics of Materials 158
Countries citing papers authored by Vinay Vakharia
This map shows the geographic impact of Vinay Vakharia'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 Vinay Vakharia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinay Vakharia more than expected).
Fields of papers citing papers by Vinay Vakharia
This network shows the impact of papers produced by Vinay Vakharia. 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 Vinay Vakharia. The network helps show where Vinay Vakharia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vinay Vakharia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 5 | |
| 4 | 2025 | 4 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 47 | |
| 9 | 2024 | 18 | |
| 10 | 2024 | 22 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 30 | |
| 13 | 2023 | 63 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 1 | |
| 16 | 2022 | 44 | |
| 17 | 2022 | 37 | |
| 18 | 2022 | 63 | |
| 19 | 2022 | 48 | |
| 20 | 2020 | 28 |
About Vinay Vakharia
Vinay Vakharia is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Control and Systems Engineering, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (13 papers), Gear and Bearing Dynamics Analysis (10 papers), Fault Detection and Control Systems (8 papers), Advanced machining processes and optimization (7 papers), Industrial Vision Systems and Defect Detection (6 papers), Surface Roughness and Optical Measurements (5 papers), Advanced Machining and Optimization Techniques (3 papers) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Control and Systems Engineering (407 citations), Mechanical Engineering (481 citations) and Industrial and Manufacturing Engineering (110 citations). Vinay Vakharia has collaborated with scholars based in India, United Kingdom and Russia. Frequent co-authors include Vijay Gupta, Pavan Kumar Kankar, Milind Shah, M. B. Kiran, Pranav Nair, Dhiren Patel, Danil Yurievich Pimenov, Rakesh Chaudhari, Jay Vora and Khaled Giasin. Their work appears in journals such as Scientific Reports, Construction and Building Materials and Sensors.
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.