P. J. Pawar
- Mechanical Engineering top 5%
- Electrical and Electronic Engineering top 10%
- Industrial and Manufacturing Engineering top 2%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Topics
- Advanced machining processes and optimization (19 papers)Advanced Surface Polishing Techniques (10 papers)Advanced Machining and Optimization Techniques (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Soft ComputingThe International Journal of Advanced Manufacturing Technology
In The Last Decade
P. J. Pawar
30 papers receiving 683 citations
Peers
Comparison fields: 5 of 57
- Mechanical Engineering 478
- Electrical and Electronic Engineering 349
- Industrial and Manufacturing Engineering 241
- Biomedical Engineering 213
- Artificial Intelligence 133
Countries citing papers authored by P. J. Pawar
This map shows the geographic impact of P. J. Pawar'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 P. J. Pawar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. J. Pawar more than expected).
Fields of papers citing papers by P. J. Pawar
This network shows the impact of papers produced by P. J. Pawar. 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 P. J. Pawar. The network helps show where P. J. Pawar may publish in the future.
Co-authorship network of co-authors of P. J. Pawar
This figure shows the co-authorship network connecting the top 25 collaborators of P. J. Pawar. A scholar is included among the top collaborators of P. J. Pawar 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 P. J. Pawar. P. J. Pawar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | Experimental Investigation and Optimization of Wire Drawing Process Parameters | 0 |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 33 | |
| 11 | Optimal sequence of hole-making operations using particle swarm optimization and modified shuffled frog leaping algorithm | 14 |
| 12 | 7 | |
| 13 | 23 | |
| 14 | 2 | |
| 15 | 101 | |
| 16 | 59 | |
| 17 | 125 | |
| 18 | 96 | |
| 19 | 41 | |
| 20 | 85 |
About P. J. Pawar
P. J. Pawar is a scholar working on Industrial and Manufacturing Engineering, Ecological Modeling and Mechanical Engineering, having authored 32 papers that have together received 745 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (19 papers), Advanced Surface Polishing Techniques (10 papers) and Advanced Machining and Optimization Techniques (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (241 citations), Ecological Modeling (60 citations) and Mechanical Engineering (478 citations). P. J. Pawar has collaborated with scholars based in India, Portugal and Nepal. Frequent co-authors include R. Venkata Rao, J. Paulo Davim, Ravi Shankar, T.P. Singh, Priyanka Paliwal and Vinayak Deshpande. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and The International Journal of Advanced Manufacturing 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.