S.P. Leo Kumar
Impact in
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- Manufacturing Process and Optimization
- Digital Transformation in Industry
- Engineering Technology and Methodologies
- Mechanical Engineering top 10%
- Advanced machining processes and optimization
- Additive Manufacturing Materials and Processes
Papers in
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- Advanced machining processes and optimization 15
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- Advanced Surface Polishing Techniques 7
- Bone Tissue Engineering Materials 3
- Co-authors
- S. Kumanan (6 shared papers)J. Jerald (6 shared papers)R. Prabakaran (1 shared paper)Harit K. Raval (1 shared paper)Chandresh Kumar Rastogi (1 shared paper)Gopal Ji (1 shared paper)
- Journals
- Materials and Manufacturing Processes (6 papers)International Journal of Computer Integrated Manufacturing (2 papers)International Journal of Production Research (2 papers)Measurement (2 papers)Neural Computing and Applications (1 paper)
- Partner nations
- India
In The Last Decade
S.P. Leo Kumar
21 papers receiving 617 citations
Peers
Comparison fields: 5 of 88
- Industrial and Manufacturing Engineering 235
- Mechanical Engineering 324
- Nuclear Energy and Engineering 3
- Biomedical Engineering 170
- Automotive Engineering 45
Countries citing papers authored by S.P. Leo Kumar
This map shows the geographic impact of S.P. Leo Kumar'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 S.P. Leo Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.P. Leo Kumar more than expected).
Fields of papers citing papers by S.P. Leo Kumar
This network shows the impact of papers produced by S.P. Leo Kumar. 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 S.P. Leo Kumar. The network helps show where S.P. Leo Kumar may publish in the future.
Co-authors
The 6 scholars most cited alongside S.P. Leo Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 160 | |
| 2 | 2018 | 112 | |
| 3 | 2014 | 89 | |
| 4 | 2018 | 56 | |
| 5 | 2019 | 56 | |
| 6 | 2020 | 44 | |
| 7 | 2014 | 19 | |
| 8 | 2014 | 13 | |
| 9 | 2019 | 13 | |
| 10 | 2014 | 11 | |
| 11 | 2013 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2017 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2014 | 3 | |
| 20 | 2022 | 1 |
About S.P. Leo Kumar
S.P. Leo Kumar is a scholar working on Mechanical Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Materials Chemistry and Industrial and Manufacturing Engineering, having authored 22 papers that have together received 630 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (15 papers), Advanced Machining and Optimization Techniques (8 papers), Manufacturing Process and Optimization (8 papers), Titanium Alloys Microstructure and Properties (7 papers), Advanced Surface Polishing Techniques (7 papers), Engineering Technology and Methodologies (5 papers), Orthopaedic implants and arthroplasty (4 papers) and Bone Tissue Engineering Materials (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (235 citations), Mechanical Engineering (324 citations), Nuclear Energy and Engineering (3 citations), Biomedical Engineering (170 citations) and Automotive Engineering (45 citations). S.P. Leo Kumar has collaborated with scholars based in India. Frequent co-authors include S. Kumanan, J. Jerald, R. Prabakaran, Harit K. Raval, Chandresh Kumar Rastogi and Gopal Ji. Their work appears in journals such as Materials and Manufacturing Processes, International Journal of Computer Integrated Manufacturing, International Journal of Production Research, Measurement 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.