Rafikul Alam
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
- Numerical methods for differential equations
- Computational Mathematics top 10%
Papers in
-
- Matrix Theory and Algorithms 28
-
- Advanced Optimization Algorithms Research 8
- Numerical methods for differential equations 8
- Co-authors
- Ralph Byers (2 shared papers)Julio Moro (1 shared paper)Michael Karow (1 shared paper)Volker Mehrmann (1 shared paper)Michael L. Overton (1 shared paper)Daniel Kreßner (1 shared paper)Balmohan V. Limaye (3 shared papers)
- Journals
- Linear Algebra and its Applications (13 papers)SIAM Journal on Matrix Analysis and Applications (8 papers)Electronic Journal of Linear Algebra (2 papers)Numerical Functional Analysis and Optimization (1 paper)Journal of Mathematical Analysis and Applications (1 paper)
- Partner nations
- IndiaUnited KingdomGermany
In The Last Decade
Rafikul Alam
27 papers receiving 228 citations
Peers
Comparison fields: 5 of 33
- Numerical Analysis 142
- Computational Mathematics 13
- Computational Theory and Mathematics 236
- Mathematical Physics 41
- Algebra and Number Theory 19
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-authors
The 7 scholars most cited alongside Rafikul Alam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 46 | |
| 2 | 2004 | 29 | |
| 3 | 2011 | 29 | |
| 4 | 2016 | 28 | |
| 5 | 2009 | 23 | |
| 6 | 2008 | 14 | |
| 7 | 2010 | 14 | |
| 8 | 2011 | 12 | |
| 9 | 2011 | 11 | |
| 10 | 2018 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2010 | 10 | |
| 13 | 2016 | 8 | |
| 14 | 2005 | 5 | |
| 15 | 1998 | 4 | |
| 16 | 2003 | 4 | |
| 17 | 2003 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2015 | 3 | |
| 20 | 2004 | 3 |
About Rafikul Alam
Rafikul Alam is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Atomic and Molecular Physics, and Optics, Mathematical Physics and Statistical and Nonlinear Physics, having authored 28 papers that have together received 284 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (28 papers), Electromagnetic Scattering and Analysis (8 papers), Advanced Optimization Algorithms Research (8 papers), Numerical methods for differential equations (8 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Quantum chaos and dynamical systems (4 papers), Numerical methods in inverse problems (4 papers) and Advanced Topics in Algebra (3 papers). The work is most often cited by research in Numerical Analysis (142 citations), Computational Mathematics (13 citations), Computational Theory and Mathematics (236 citations), Mathematical Physics (41 citations) and Algebra and Number Theory (19 citations). Rafikul Alam has collaborated with scholars based in India, United Kingdom and Germany. Frequent co-authors include Ralph Byers, Julio Moro, Michael Karow, Volker Mehrmann, Michael L. Overton, Daniel Kreßner and Balmohan V. Limaye. Their work appears in journals such as Linear Algebra and its Applications, SIAM Journal on Matrix Analysis and Applications, Electronic Journal of Linear Algebra, Numerical Functional Analysis and Optimization and Journal of Mathematical Analysis and 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.