K. S. Ravichandran
- Management Science and Operations Research top 0.5%
- Artificial Intelligence top 5%
- Strategy and Management top 5%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- R. KrishankumarJ. PremaladhaArunodaya Raj MishraPratibha RaniAmir H. GandomiFausto CavallaroDragan PamučarSamarjit Kar
- Topics
- Multi-Criteria Decision Making (43 papers)Sustainable Supply Chain Management (13 papers)Optimization and Mathematical Programming (8 papers)
- Cited by
- Management Science and Operations ResearchStrategy and ManagementIndustrial and Manufacturing Engineering
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
K. S. Ravichandran
97 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 132
- Management Science and Operations Research 811
- Artificial Intelligence 354
- Strategy and Management 243
- Control and Systems Engineering 236
- Computer Vision and Pattern Recognition 178
Countries citing papers authored by K. S. Ravichandran
This map shows the geographic impact of K. S. Ravichandran'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 K. S. Ravichandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. S. Ravichandran more than expected).
Fields of papers citing papers by K. S. Ravichandran
This network shows the impact of papers produced by K. S. Ravichandran. 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 K. S. Ravichandran. The network helps show where K. S. Ravichandran may publish in the future.
Co-authorship network of co-authors of K. S. Ravichandran
This figure shows the co-authorship network connecting the top 25 collaborators of K. S. Ravichandran. A scholar is included among the top collaborators of K. S. Ravichandran 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 K. S. Ravichandran. K. S. Ravichandran 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 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 15 | |
| 13 | 12 | |
| 14 | 14 | |
| 15 | 10 | |
| 16 | 31 | |
| 17 | 58 | |
| 18 | 13 | |
| 19 | 4 | |
| 20 | 1 |
About K. S. Ravichandran
K. S. Ravichandran is a scholar working on Management Science and Operations Research, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 105 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (43 papers), Sustainable Supply Chain Management (13 papers) and Optimization and Mathematical Programming (8 papers). The work is most often cited by research in Management Science and Operations Research (811 citations), Strategy and Management (243 citations) and Industrial and Manufacturing Engineering (115 citations). K. S. Ravichandran has collaborated with scholars based in India, Australia and United States. Frequent co-authors include R. Krishankumar, J. Premaladha, Arunodaya Raj Mishra, Pratibha Rani, Amir H. Gandomi, Fausto Cavallaro, Dragan Pamučar, Samarjit Kar, Samarjit Kar and Arsham Borumand Saeid. Their work appears in journals such as The Science of The Total Environment, Journal of Cleaner Production and Scientific Reports.
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.