D. P. Vakharia
- Artificial Intelligence top 0.5%
- Computational Theory and Mathematics top 0.2%
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 1%
- Mechanical Engineering top 2%
- Co-authors
- Vimal SavsaniR. Venkata RaoG. M. Deheri
- Topics
- Gear and Bearing Dynamics Analysis (21 papers)Tribology and Lubrication Engineering (12 papers)Mechanical Engineering and Vibrations Research (8 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- Information SciencesWearMeasurement
In The Last Decade
D. P. Vakharia
37 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 2.6k
- Computational Theory and Mathematics 1.4k
- Electrical and Electronic Engineering 1.4k
- Control and Systems Engineering 986
- Mechanical Engineering 774
Countries citing papers authored by D. P. Vakharia
This map shows the geographic impact of D. P. 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 D. P. Vakharia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. P. Vakharia more than expected).
Fields of papers citing papers by D. P. Vakharia
This network shows the impact of papers produced by D. P. 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 D. P. Vakharia. The network helps show where D. P. Vakharia may publish in the future.
Co-authorship network of co-authors of D. P. Vakharia
This figure shows the co-authorship network connecting the top 25 collaborators of D. P. Vakharia. A scholar is included among the top collaborators of D. P. Vakharia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. P. Vakharia. D. P. Vakharia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 9 | |
| 9 | 17 | |
| 10 | 29 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | Design & Development Of Rotary Fixture For CNC With An Approach Of Developing Pre-Mortem Tool For Mass Balancing | 0 |
| 15 | Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problemsbreakdown → | 3730 |
| 16 | Teaching–Learning-Based Optimization: An optimization method for continuous non-linear large scale problemsbreakdown → | 1397 |
| 17 | 2 | |
| 18 | 20 | |
| 19 | Determination of maximum span between pipe supports using maximum bending stress theory. | 5 |
| 20 | 3 |
About D. P. Vakharia
D. P. Vakharia is a scholar working on Mechanical Engineering, Mechanics of Materials and Control and Systems Engineering, having authored 38 papers that have together received 5.6k indexed citations. Recurring topics across this work include Gear and Bearing Dynamics Analysis (21 papers), Tribology and Lubrication Engineering (12 papers) and Mechanical Engineering and Vibrations Research (8 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Artificial Intelligence (2.6k citations) and Industrial and Manufacturing Engineering (455 citations). D. P. Vakharia has collaborated with scholars based in India and Norway. Frequent co-authors include Vimal Savsani, R. Venkata Rao and G. M. Deheri. Their work appears in journals such as Information Sciences, Wear and Measurement.
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.