M. K. Pradhan
- Electrical and Electronic Engineering top 5%
- Mechanical Engineering top 2%
- Biomedical Engineering top 10%
- Materials Chemistry top 10%
- Plant Science top 10%
- Co-authors
- T.S. RamuChandan Kumar BiswasSonajharia MinzRaja DasMamta ThakurVimal K. ShrivastavaTapan Kumar SahaPankaj Agarwal
- Topics
- Advanced Machining and Optimization Techniques (53 papers)Advanced machining processes and optimization (48 papers)Advanced Surface Polishing Techniques (28 papers)
- Cited by
- Mechanical EngineeringElectrical and Electronic EngineeringIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaJournal of HydrologyIEEE Transactions on Power Delivery
In The Last Decade
M. K. Pradhan
102 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 91
- Electrical and Electronic Engineering 1.0k
- Mechanical Engineering 875
- Biomedical Engineering 409
- Materials Chemistry 367
- Plant Science 225
Countries citing papers authored by M. K. Pradhan
This map shows the geographic impact of M. K. Pradhan'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 M. K. Pradhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. K. Pradhan more than expected).
Fields of papers citing papers by M. K. Pradhan
This network shows the impact of papers produced by M. K. Pradhan. 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 M. K. Pradhan. The network helps show where M. K. Pradhan may publish in the future.
Co-authorship network of co-authors of M. K. Pradhan
This figure shows the co-authorship network connecting the top 25 collaborators of M. K. Pradhan. A scholar is included among the top collaborators of M. K. Pradhan 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 M. K. Pradhan. M. K. Pradhan 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 | 5 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | Neuro-Fuzzy Model and Regression Model a Comparison study of MRR in Electrical Discharge Machining of D2 Tool Steel | 8 |
| 15 | 24 | |
| 16 | 16 | |
| 17 | 12 | |
| 18 | 57 | |
| 19 | 15 | |
| 20 | 7 |
About M. K. Pradhan
M. K. Pradhan is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Electrical and Electronic Engineering, having authored 105 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Machining and Optimization Techniques (53 papers), Advanced machining processes and optimization (48 papers) and Advanced Surface Polishing Techniques (28 papers). The work is most often cited by research in Mechanical Engineering (875 citations), Electrical and Electronic Engineering (1.0k citations) and Industrial and Manufacturing Engineering (142 citations). M. K. Pradhan has collaborated with scholars based in India, Australia and Sweden. Frequent co-authors include T.S. Ramu, Chandan Kumar Biswas, Sonajharia Minz, Raja Das, Mamta Thakur, Vimal K. Shrivastava, Tapan Kumar Saha, Pankaj Agarwal, Ajay Verma and Basanti Biswal. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and IEEE Transactions on Power Delivery.
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.