Kedar Nath Das
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Raghav Prasad ParouhaKusum DeepPrabhujit MohapatraAtulya K. NagarJagdish Chand BansalMillie PantRammohan MallipeddiRajashree Mishra
- Topics
- Metaheuristic Optimization Algorithms Research (29 papers)Advanced Multi-Objective Optimization Algorithms (23 papers)Evolutionary Algorithms and Applications (16 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Partner nations
- IndiaUnited KingdomSouth Korea
In The Last Decade
Kedar Nath Das
52 papers receiving 850 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 490
- Computational Theory and Mathematics 314
- Electrical and Electronic Engineering 186
- Control and Systems Engineering 127
- Computer Vision and Pattern Recognition 72
Countries citing papers authored by Kedar Nath Das
This map shows the geographic impact of Kedar Nath Das'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 Kedar Nath Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kedar Nath Das more than expected).
Fields of papers citing papers by Kedar Nath Das
This network shows the impact of papers produced by Kedar Nath Das. 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 Kedar Nath Das. The network helps show where Kedar Nath Das may publish in the future.
Co-authorship network of co-authors of Kedar Nath Das
This figure shows the co-authorship network connecting the top 25 collaborators of Kedar Nath Das. A scholar is included among the top collaborators of Kedar Nath Das 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 Kedar Nath Das. Kedar Nath Das 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 | 6 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 17 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | Soft Computing for Problem Solving SocProS 2017, Volume 1 | 2 |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 26 | |
| 15 | 4 | |
| 16 | 36 | |
| 17 | 6 | |
| 18 | Proceedings of Fifth International Conference on Soft Computing for Problem Solving: SocProS 2015 - Volume 1 | 3 |
| 19 | 7 | |
| 20 | Optimization of infiltration parameters in hydrology | 9 |
About Kedar Nath Das
Kedar Nath Das is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Energy Engineering and Power Technology, having authored 54 papers that have together received 872 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (29 papers), Advanced Multi-Objective Optimization Algorithms (23 papers) and Evolutionary Algorithms and Applications (16 papers). The work is most often cited by research in Computational Theory and Mathematics (314 citations), Artificial Intelligence (490 citations) and Industrial and Manufacturing Engineering (67 citations). Kedar Nath Das has collaborated with scholars based in India, United Kingdom and South Korea. Frequent co-authors include Raghav Prasad Parouha, Kusum Deep, Prabhujit Mohapatra, Atulya K. Nagar, Jagdish Chand Bansal, Millie Pant, Rammohan Mallipeddi, Rajashree Mishra, Harish Garg and P. Ponnambalam. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and Information Sciences.
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.