Pragya Shandilya
- Electrical and Electronic Engineering top 5%
- Mechanical Engineering top 2%
- Biomedical Engineering top 5%
- Materials Chemistry
- Polymers and Plastics
- Co-authors
- Himanshu BisariaP.K. JainNeelesh Kumar JainRajeev SrivastavaM. K. GuptaAiyeshah AlhodaibPrashant K. JainNikhil Jain
- Topics
- Advanced Machining and Optimization Techniques (37 papers)Advanced machining processes and optimization (28 papers)Advanced Surface Polishing Techniques (21 papers)
- Journals
- Journal of materials research/Pratt's guide to venture capital sourcesThe International Journal of Advanced Manufacturing TechnologyNeural Computing and Applications
- Partner nations
- IndiaSaudi Arabia
In The Last Decade
Pragya Shandilya
39 papers receiving 962 citations
Peers
Comparison fields: 5 of 43
- Electrical and Electronic Engineering 835
- Mechanical Engineering 825
- Biomedical Engineering 518
- Materials Chemistry 183
- Polymers and Plastics 91
Countries citing papers authored by Pragya Shandilya
This map shows the geographic impact of Pragya Shandilya'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 Pragya Shandilya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pragya Shandilya more than expected).
Fields of papers citing papers by Pragya Shandilya
This network shows the impact of papers produced by Pragya Shandilya. 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 Pragya Shandilya. The network helps show where Pragya Shandilya may publish in the future.
Co-authorship network of co-authors of Pragya Shandilya
This figure shows the co-authorship network connecting the top 25 collaborators of Pragya Shandilya. A scholar is included among the top collaborators of Pragya Shandilya 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 Pragya Shandilya. Pragya Shandilya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 25 | |
| 8 | 34 | |
| 9 | 36 | |
| 10 | 37 | |
| 11 | 25 | |
| 12 | 1 | |
| 13 | 51 | |
| 14 | 15 | |
| 15 | 23 | |
| 16 | 21 | |
| 17 | 60 | |
| 18 | 97 | |
| 19 | 5 | |
| 20 | 4 |
About Pragya Shandilya
Pragya Shandilya is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Machining and Optimization Techniques (37 papers), Advanced machining processes and optimization (28 papers) and Advanced Surface Polishing Techniques (21 papers). The work is most often cited by research in Mechanical Engineering (825 citations), Electrical and Electronic Engineering (835 citations) and Biomedical Engineering (518 citations). Pragya Shandilya has collaborated with scholars based in India and Saudi Arabia. Frequent co-authors include Himanshu Bisaria, P.K. Jain, Neelesh Kumar Jain, Rajeev Srivastava, M. K. Gupta, Aiyeshah Alhodaib, Prashant K. Jain, Nikhil Jain, Abhishek Tiwari and Vinod Yadava. Their work appears in journals such as Journal of materials research/Pratt's guide to venture capital sources, The International Journal of Advanced Manufacturing Technology and Neural Computing and Applications.
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.