Subhas Chandra Mondal
- Mechanical Engineering top 5%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering
- Industrial and Manufacturing Engineering top 5%
- Materials Chemistry
- Co-authors
- Prosun MandalAbhijit SahaGourhari GhoshJ. MaitiPradip Kumar RayRanjan Kumar GhadaiBibhu P. SwainKanak Kalita
- Topics
- Advanced Machining and Optimization Techniques (19 papers)Advanced machining processes and optimization (19 papers)Advanced Statistical Process Monitoring (10 papers)
- Cited by
- Mechanical EngineeringIndustrial and Manufacturing EngineeringElectrical and Electronic Engineering
- Partner nations
- IndiaUnited KingdomSingapore
In The Last Decade
Subhas Chandra Mondal
46 papers receiving 719 citations
Peers
Comparison fields: 5 of 93
- Mechanical Engineering 448
- Electrical and Electronic Engineering 401
- Biomedical Engineering 212
- Industrial and Manufacturing Engineering 116
- Materials Chemistry 116
Countries citing papers authored by Subhas Chandra Mondal
This map shows the geographic impact of Subhas Chandra Mondal'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 Subhas Chandra Mondal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhas Chandra Mondal more than expected).
Fields of papers citing papers by Subhas Chandra Mondal
This network shows the impact of papers produced by Subhas Chandra Mondal. 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 Subhas Chandra Mondal. The network helps show where Subhas Chandra Mondal may publish in the future.
Co-authorship network of co-authors of Subhas Chandra Mondal
This figure shows the co-authorship network connecting the top 25 collaborators of Subhas Chandra Mondal. A scholar is included among the top collaborators of Subhas Chandra Mondal 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 Subhas Chandra Mondal. Subhas Chandra Mondal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 47 | |
| 7 | 10 | |
| 8 | 47 | |
| 9 | 50 | |
| 10 | 15 | |
| 11 | 6 | |
| 12 | 33 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 6 | |
| 16 | 29 | |
| 17 | 72 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 1 |
About Subhas Chandra Mondal
Subhas Chandra Mondal is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 47 papers that have together received 740 indexed citations. Recurring topics across this work include Advanced Machining and Optimization Techniques (19 papers), Advanced machining processes and optimization (19 papers) and Advanced Statistical Process Monitoring (10 papers). The work is most often cited by research in Mechanical Engineering (448 citations), Industrial and Manufacturing Engineering (116 citations) and Electrical and Electronic Engineering (401 citations). Subhas Chandra Mondal has collaborated with scholars based in India, United Kingdom and Singapore. Frequent co-authors include Prosun Mandal, Abhijit Saha, Gourhari Ghosh, J. Maiti, Pradip Kumar Ray, Ranjan Kumar Ghadai, Bibhu P. Swain, Kanak Kalita, Shashank Tiwari and Suvra Sekhar Das. Their work appears in journals such as IEEE Access, Applied Surface Science and International Journal of Production Research.
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.