C. Balamurugan
- Industrial and Manufacturing Engineering top 2%
- Mechanical Engineering top 10%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Automotive Engineering top 10%
- Co-authors
- S. RamabalanR. SaravananK. SivakumarП. Динеш БабуK.P. PadmanabanM. VigneshParthiban KathirvelG. Murali
- Topics
- Manufacturing Process and Optimization (13 papers)Advanced Multi-Objective Optimization Algorithms (11 papers)Product Development and Customization (8 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement of Technology and InnovationAutomotive Engineering
- Partner nations
- IndiaSaudi ArabiaRussia
In The Last Decade
C. Balamurugan
31 papers receiving 445 citations
Peers
Comparison fields: 5 of 52
- Industrial and Manufacturing Engineering 209
- Mechanical Engineering 182
- Control and Systems Engineering 143
- Computer Vision and Pattern Recognition 106
- Automotive Engineering 86
Countries citing papers authored by C. Balamurugan
This map shows the geographic impact of C. Balamurugan'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 C. Balamurugan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Balamurugan more than expected).
Fields of papers citing papers by C. Balamurugan
This network shows the impact of papers produced by C. Balamurugan. 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 C. Balamurugan. The network helps show where C. Balamurugan may publish in the future.
Co-authorship network of co-authors of C. Balamurugan
This figure shows the co-authorship network connecting the top 25 collaborators of C. Balamurugan. A scholar is included among the top collaborators of C. Balamurugan 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 C. Balamurugan. C. Balamurugan 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 | 8 | |
| 3 | 17 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 16 | |
| 9 | 23 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 19 | |
| 13 | 23 | |
| 14 | Evolutionary Path Planning for Industrial Robot Using Intelligent Technique | 1 |
| 15 | 21 | |
| 16 | 39 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 8 | |
| 20 | 42 |
About C. Balamurugan
C. Balamurugan is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Computational Theory and Mathematics, having authored 32 papers that have together received 470 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (13 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Product Development and Customization (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (209 citations), Management of Technology and Innovation (83 citations) and Automotive Engineering (86 citations). C. Balamurugan has collaborated with scholars based in India, Saudi Arabia and Russia. Frequent co-authors include S. Ramabalan, R. Saravanan, K. Sivakumar, П. Динеш Бабу, K.P. Padmanaban, M. Vignesh, Parthiban Kathirvel, G. Murali, I. Dinaharan and Nikolai Vatin. Their work appears in journals such as Materials Science and Engineering A, International Journal of Production Research and Materials.
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.