Chandrali Baishya
- Modeling and Simulation top 0.5%
- Statistical and Nonlinear Physics top 5%
- Public Health, Environmental and Occupational Health
- Numerical Analysis top 10%
- Applied Mathematics top 5%
- Co-authors
- P. VeereshaMohammed K. A. KaabarMehmet YavuzD. G. PrakashaLanre AkinyemiHacı Mehmet BaşkonuşWei GaoCarlo Cattani
- Topics
- Fractional Differential Equations Solutions (24 papers)Mathematical and Theoretical Epidemiology and Ecology Models (14 papers)Chaos control and synchronization (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsChaos Solitons & Fractals
In The Last Decade
Chandrali Baishya
26 papers receiving 466 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 370
- Statistical and Nonlinear Physics 189
- Public Health, Environmental and Occupational Health 138
- Numerical Analysis 69
- Applied Mathematics 67
Countries citing papers authored by Chandrali Baishya
This map shows the geographic impact of Chandrali Baishya'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 Chandrali Baishya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chandrali Baishya more than expected).
Fields of papers citing papers by Chandrali Baishya
This network shows the impact of papers produced by Chandrali Baishya. 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 Chandrali Baishya. The network helps show where Chandrali Baishya may publish in the future.
Co-authorship network of co-authors of Chandrali Baishya
This figure shows the co-authorship network connecting the top 25 collaborators of Chandrali Baishya. A scholar is included among the top collaborators of Chandrali Baishya 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 Chandrali Baishya. Chandrali Baishya 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 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 3 | |
| 8 | 30 | |
| 9 | 6 | |
| 10 | 22 | |
| 11 | 25 | |
| 12 | 18 | |
| 13 | 56 | |
| 14 | 11 | |
| 15 | 34 | |
| 16 | 57 | |
| 17 | 47 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | Solution of Newell-Whitehead-Segel equation with power law nonlinearity and time dependent coefficients | 3 |
About Chandrali Baishya
Chandrali Baishya is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Numerical Analysis, having authored 28 papers that have together received 494 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (24 papers), Mathematical and Theoretical Epidemiology and Ecology Models (14 papers) and Chaos control and synchronization (6 papers). The work is most often cited by research in Modeling and Simulation (370 citations), Statistical and Nonlinear Physics (189 citations) and Numerical Analysis (69 citations). Chandrali Baishya has collaborated with scholars based in India, Iran and Türkiye. Frequent co-authors include P. Veeresha, Mohammed K. A. Kaabar, Mehmet Yavuz, D. G. Prakasha, Lanre Akinyemi, Hacı Mehmet Başkonuş, Wei Gao, Carlo Cattani, Mohammad Esmael Samei and Dumitru Bǎleanu. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chaos Solitons & Fractals.
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.