Ratul Chakraborty
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Co-authors
- Apu Kumar SahaSanjoy ChakrabortySushmita SharmaSeyedali MirjaliliSudhan DebnathSukanta NamaAbsalom E. EzugwuAshim Saha
- Topics
- Metaheuristic Optimization Algorithms Research (5 papers)Advanced Multi-Objective Optimization Algorithms (5 papers)Evolutionary Algorithms and Applications (3 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- Knowledge-Based SystemsComputers & Industrial EngineeringInternational Journal of Intelligent Systems
- Partner nations
- IndiaAustraliaSouth Korea
In The Last Decade
Ratul Chakraborty
5 papers receiving 389 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 244
- Computational Theory and Mathematics 132
- Control and Systems Engineering 56
- Computer Vision and Pattern Recognition 56
- Electrical and Electronic Engineering 52
Countries citing papers authored by Ratul Chakraborty
This map shows the geographic impact of Ratul Chakraborty'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 Ratul Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ratul Chakraborty more than expected).
Fields of papers citing papers by Ratul Chakraborty
This network shows the impact of papers produced by Ratul Chakraborty. 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 Ratul Chakraborty. The network helps show where Ratul Chakraborty may publish in the future.
Co-authorship network of co-authors of Ratul Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Ratul Chakraborty. A scholar is included among the top collaborators of Ratul Chakraborty 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 Ratul Chakraborty. Ratul Chakraborty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 52 | |
| 3 | 113 | |
| 4 | 58 | |
| 5 | 154 |
About Ratul Chakraborty
Ratul Chakraborty is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Artificial Intelligence, having authored 5 papers that have together received 399 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (132 citations), Artificial Intelligence (244 citations) and Industrial and Manufacturing Engineering (34 citations). Ratul Chakraborty has collaborated with scholars based in India, Australia and South Korea. Frequent co-authors include Apu Kumar Saha, Sanjoy Chakraborty, Sushmita Sharma, Seyedali Mirjalili, Sudhan Debnath, Sukanta Nama, Absalom E. Ezugwu and Ashim Saha. Their work appears in journals such as Knowledge-Based Systems, Computers & Industrial Engineering and International Journal of Intelligent Systems.
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.