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 13
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- Advanced Surface Polishing Techniques 5
- Bone Tissue Engineering Materials 3
- Co-authors
- J. Jerald (6 shared papers)S. Kumanan (6 shared papers)R. Prabakaran (1 shared paper)Harit K. Raval (1 shared paper)Suman Pal (1 shared paper)Chandresh Kumar Rastogi (1 shared paper)Gopal Ji (1 shared paper)
- Journals
- Materials and Manufacturing Processes (5 papers)Measurement (2 papers)International Journal of Computer Integrated Manufacturing (2 papers)International Journal of Production Research (2 papers)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- India
In The Last Decade
S.P. Leo Kumar
20 papers receiving 558 citations
Peers
Comparison fields: 5 of 84
- Industrial and Manufacturing Engineering 215
- Mechanical Engineering 304
- Nuclear Energy and Engineering 3
- Management Information Systems 32
- Biomedical Engineering 151
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 7 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 144 | |
| 2 | 2018 | 98 | |
| 3 | 2014 | 83 | |
| 4 | 2018 | 54 | |
| 5 | 2019 | 52 | |
| 6 | 2020 | 42 | |
| 7 | 2014 | 17 | |
| 8 | 2019 | 12 | |
| 9 | 2014 | 11 | |
| 10 | 2014 | 10 | |
| 11 | 2013 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2014 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2014 | 2 | |
| 20 | 2022 | 1 |
About S.P. Leo Kumar
S.P. Leo Kumar is a scholar working on Mechanical Engineering, Biomedical Engineering, Materials Chemistry, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering, having authored 20 papers that have together received 573 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (13 papers), Manufacturing Process and Optimization (8 papers), Titanium Alloys Microstructure and Properties (7 papers), Advanced Machining and Optimization Techniques (6 papers), Advanced Surface Polishing Techniques (5 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 (215 citations), Mechanical Engineering (304 citations), Nuclear Energy and Engineering (3 citations), Management Information Systems (32 citations) and Biomedical Engineering (151 citations). S.P. Leo Kumar has collaborated with scholars based in India. Frequent co-authors include J. Jerald, S. Kumanan, R. Prabakaran, Harit K. Raval, Suman Pal, Chandresh Kumar Rastogi and Gopal Ji. Their work appears in journals such as Materials and Manufacturing Processes, Measurement, International Journal of Computer Integrated Manufacturing, International Journal of Production Research and Engineering Applications of Artificial Intelligence.
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.