A. K. B. Chand
- Mathematical Physics top 0.5%
- Statistical and Nonlinear Physics top 1%
- Computational Mechanics top 2%
- Computer Vision and Pattern Recognition top 5%
- Condensed Matter Physics top 10%
- Co-authors
- M. A. NavascuésP. ViswanathanG. P. KapoorMaría Victoria SebastiánGurunathan Saravana KumarRavi P. AgarwalSaurabh VermaMohammad Sajid
- Topics
- Mathematical Dynamics and Fractals (78 papers)Advanced Numerical Analysis Techniques (43 papers)Advanced Mathematical Theories and Applications (22 papers)
- Cited by
- Mathematical PhysicsStatistical and Nonlinear PhysicsComputer Graphics and Computer-Aided Design
In The Last Decade
A. K. B. Chand
82 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 52
- Mathematical Physics 1.1k
- Statistical and Nonlinear Physics 494
- Computational Mechanics 416
- Computer Vision and Pattern Recognition 146
- Condensed Matter Physics 119
Countries citing papers authored by A. K. B. Chand
This map shows the geographic impact of A. K. B. Chand'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 A. K. B. Chand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. K. B. Chand more than expected).
Fields of papers citing papers by A. K. B. Chand
This network shows the impact of papers produced by A. K. B. Chand. 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 A. K. B. Chand. The network helps show where A. K. B. Chand may publish in the future.
Co-authorship network of co-authors of A. K. B. Chand
This figure shows the co-authorship network connecting the top 25 collaborators of A. K. B. Chand. A scholar is included among the top collaborators of A. K. B. Chand 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 A. K. B. Chand. A. K. B. Chand 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 | 2 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | Hidden variable A-fractal functions and their monotonicity aspects | 3 |
| 12 | 7 | |
| 13 | 11 | |
| 14 | 26 | |
| 15 | 10 | |
| 16 | Shape preserving affine fractal interpolation surfaces | 4 |
| 17 | 58 | |
| 18 | 39 | |
| 19 | 20 | |
| 20 | Generalized hermite fractal interpolation | 20 |
About A. K. B. Chand
A. K. B. Chand is a scholar working on Mathematical Physics, Computer Graphics and Computer-Aided Design and Statistical and Nonlinear Physics, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (78 papers), Advanced Numerical Analysis Techniques (43 papers) and Advanced Mathematical Theories and Applications (22 papers). The work is most often cited by research in Mathematical Physics (1.1k citations), Statistical and Nonlinear Physics (494 citations) and Computer Graphics and Computer-Aided Design (94 citations). A. K. B. Chand has collaborated with scholars based in India, Spain and Germany. Frequent co-authors include M. A. Navascués, P. Viswanathan, G. P. Kapoor, María Victoria Sebastián, Gurunathan Saravana Kumar, Ravi P. Agarwal, Saurabh Verma, Mohammad Sajid, Peter Massopust and Ravi P. Agarwal. Their work appears in journals such as SIAM Journal on Numerical Analysis, Journal of Mathematical Analysis and Applications 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.