Chiranjit Changdar
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 5%
- Computational Theory and Mathematics top 10%
- Control and Systems Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Rajat Kumar PalG. S. MahapatraUtpal NandiMoirangthem Marjit SinghManoranjan MaitiManas Kumar MaitiTapas SiSudipta Kr Ghosal
- Topics
- Metaheuristic Optimization Algorithms Research (8 papers)Advanced Manufacturing and Logistics Optimization (7 papers)Optimization and Packing Problems (7 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Chiranjit Changdar
20 papers receiving 260 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 115
- Industrial and Manufacturing Engineering 111
- Computational Theory and Mathematics 47
- Control and Systems Engineering 43
- Computer Vision and Pattern Recognition 39
Countries citing papers authored by Chiranjit Changdar
This map shows the geographic impact of Chiranjit Changdar'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 Chiranjit Changdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiranjit Changdar more than expected).
Fields of papers citing papers by Chiranjit Changdar
This network shows the impact of papers produced by Chiranjit Changdar. 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 Chiranjit Changdar. The network helps show where Chiranjit Changdar may publish in the future.
Co-authorship network of co-authors of Chiranjit Changdar
This figure shows the co-authorship network connecting the top 25 collaborators of Chiranjit Changdar. A scholar is included among the top collaborators of Chiranjit Changdar 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 Chiranjit Changdar. Chiranjit Changdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 39 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 38 | |
| 17 | 36 | |
| 18 | 12 | |
| 19 | 54 | |
| 20 | 28 |
About Chiranjit Changdar
Chiranjit Changdar is a scholar working on Industrial and Manufacturing Engineering, Human-Computer Interaction and Artificial Intelligence, having authored 23 papers that have together received 272 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Advanced Manufacturing and Logistics Optimization (7 papers) and Optimization and Packing Problems (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (111 citations), Human-Computer Interaction (28 citations) and Artificial Intelligence (115 citations). Chiranjit Changdar has collaborated with scholars based in India and United States. Frequent co-authors include Rajat Kumar Pal, G. S. Mahapatra, Utpal Nandi, Moirangthem Marjit Singh, Manoranjan Maiti, Manas Kumar Maiti, Tapas Si, Sudipta Kr Ghosal, Pabitra Pal and Sudip Kumar Sahana. Their work appears in journals such as Expert Systems with Applications, Neurocomputing and Applied Mathematics and Computation.
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.