Rafikul Alam
- Computational Theory and Mathematics top 2%
- Numerical Analysis top 5%
- Atomic and Molecular Physics, and Optics
- Mathematical Physics
- Statistical and Nonlinear Physics
- Co-authors
- Ralph ByersVolker MehrmannMichael KarowJulio MoroDaniel KreßnerMichael L. OvertonBalmohan V. Limaye
- Topics
- Matrix Theory and Algorithms (28 papers)Advanced Optimization Algorithms Research (8 papers)Numerical methods for differential equations (8 papers)
- Journals
- Mathematics of ComputationJournal of Mathematical Analysis and ApplicationsLinear Algebra and its Applications
- Partner nations
- IndiaUnited KingdomSwitzerland
In The Last Decade
Rafikul Alam
26 papers receiving 217 citations
Peers
Comparison fields: 5 of 34
- Computational Theory and Mathematics 226
- Numerical Analysis 142
- Atomic and Molecular Physics, and Optics 62
- Mathematical Physics 41
- Statistical and Nonlinear Physics 37
Countries citing papers authored by Rafikul Alam
This map shows the geographic impact of Rafikul Alam'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 Rafikul Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafikul Alam more than expected).
Fields of papers citing papers by Rafikul Alam
This network shows the impact of papers produced by Rafikul Alam. 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 Rafikul Alam. The network helps show where Rafikul Alam may publish in the future.
Co-authorship network of co-authors of Rafikul Alam
This figure shows the co-authorship network connecting the top 25 collaborators of Rafikul Alam. A scholar is included among the top collaborators of Rafikul Alam 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 Rafikul Alam. Rafikul Alam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 11 | |
| 10 | 14 | |
| 11 | 10 | |
| 12 | 22 | |
| 13 | 14 | |
| 14 | 29 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 0 | |
| 19 | 46 | |
| 20 | 4 |
About Rafikul Alam
Rafikul Alam is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mathematics, having authored 28 papers that have together received 274 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (28 papers), Advanced Optimization Algorithms Research (8 papers) and Numerical methods for differential equations (8 papers). The work is most often cited by research in Numerical Analysis (142 citations), Computational Mathematics (13 citations) and Computational Theory and Mathematics (226 citations). Rafikul Alam has collaborated with scholars based in India, United Kingdom and Switzerland. Frequent co-authors include Ralph Byers, Volker Mehrmann, Michael Karow, Julio Moro, Daniel Kreßner, Michael L. Overton and Balmohan V. Limaye. Their work appears in journals such as Mathematics of Computation, Journal of Mathematical Analysis and Applications and Linear Algebra and its Applications.
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.