Magda Rebelo
- Modeling and Simulation top 0.5%
- Numerical Analysis top 2%
- Applied Mathematics top 5%
- Mechanics of Materials top 10%
- Biomedical Engineering
- Co-authors
- M. Luísa MorgadoNeville J. FordL. L. FerrásTeresa DiogoJ. M. NóbregaA.M. AfonsoGareth H. McKinleyPedro M. Lima
- Topics
- Fractional Differential Equations Solutions (27 papers)Differential Equations and Numerical Methods (16 papers)Numerical methods for differential equations (8 papers)
- Journals
- Food HydrocolloidsApplied Mathematics and ComputationComputers & Mathematics with Applications
- Partner nations
- PortugalUnited KingdomBrazil
In The Last Decade
Magda Rebelo
37 papers receiving 638 citations
Peers
Comparison fields: 5 of 52
- Modeling and Simulation 494
- Numerical Analysis 383
- Applied Mathematics 155
- Mechanics of Materials 109
- Biomedical Engineering 91
Countries citing papers authored by Magda Rebelo
This map shows the geographic impact of Magda Rebelo'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 Magda Rebelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magda Rebelo more than expected).
Fields of papers citing papers by Magda Rebelo
This network shows the impact of papers produced by Magda Rebelo. 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 Magda Rebelo. The network helps show where Magda Rebelo may publish in the future.
Co-authorship network of co-authors of Magda Rebelo
This figure shows the co-authorship network connecting the top 25 collaborators of Magda Rebelo. A scholar is included among the top collaborators of Magda Rebelo 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 Magda Rebelo. Magda Rebelo 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 | 4 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 22 | |
| 11 | 18 | |
| 12 | An implicit finite difference approximation for the solution of the diffusion equation with distributed order in time | 29 |
| 13 | 96 | |
| 14 | 26 | |
| 15 | 7 | |
| 16 | 16 | |
| 17 | Numerical solution of the reaction-wave-diffusion equation with distributed order in time | 1 |
| 18 | 12 | |
| 19 | 35 | |
| 20 | COMPUTATIONAL METHODS FOR A NONLINEAR VOLTERRA INTEGRAL EQUATION | 2 |
About Magda Rebelo
Magda Rebelo is a scholar working on Modeling and Simulation, Numerical Analysis and Computational Mathematics, having authored 39 papers that have together received 662 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (27 papers), Differential Equations and Numerical Methods (16 papers) and Numerical methods for differential equations (8 papers). The work is most often cited by research in Modeling and Simulation (494 citations), Numerical Analysis (383 citations) and Applied Mathematics (155 citations). Magda Rebelo has collaborated with scholars based in Portugal, United Kingdom and Brazil. Frequent co-authors include M. Luísa Morgado, Neville J. Ford, L. L. Ferrás, Teresa Diogo, J. M. Nóbrega, A.M. Afonso, Gareth H. McKinley, Pedro M. Lima, Jingtang Ma and Fernando M. Nunes. Their work appears in journals such as Food Hydrocolloids, Applied Mathematics and Computation and Computers & Mathematics with 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.