Miguel A. Piñar
- Applied Mathematics top 1%
- Computational Theory and Mathematics top 5%
- Numerical Analysis top 5%
- Statistical and Nonlinear Physics top 5%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Teresa E. PérezFrancisco MarcellánYuan XuH.G. MeijerJuan J. Moreno–BalcázarM.L. RezolaManuel AlfaroAndrei Martı́nez-Finkelshtein
- Topics
- Mathematical functions and polynomials (53 papers)Matrix Theory and Algorithms (20 papers)Quantum Mechanics and Non-Hermitian Physics (9 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsApplied Mathematics and ComputationJournal of Computational and Applied Mathematics
- Partner nations
- SpainUnited StatesNetherlands
In The Last Decade
Miguel A. Piñar
52 papers receiving 409 citations
Peers
Comparison fields: 5 of 29
- Applied Mathematics 399
- Computational Theory and Mathematics 125
- Numerical Analysis 101
- Statistical and Nonlinear Physics 94
- Atomic and Molecular Physics, and Optics 76
Countries citing papers authored by Miguel A. Piñar
This map shows the geographic impact of Miguel A. Piñar'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 Miguel A. Piñar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel A. Piñar more than expected).
Fields of papers citing papers by Miguel A. Piñar
This network shows the impact of papers produced by Miguel A. Piñar. 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 Miguel A. Piñar. The network helps show where Miguel A. Piñar may publish in the future.
Co-authorship network of co-authors of Miguel A. Piñar
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel A. Piñar. A scholar is included among the top collaborators of Miguel A. Piñar 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 Miguel A. Piñar. Miguel A. Piñar 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 | 2 | |
| 3 | 4 | |
| 4 | 12 | |
| 5 | Multivariate Sobolev-type orthogonal polynomials † | 2 |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 15 | |
| 14 | 12 | |
| 15 | NON-STANDARD ORTHOGONALITY FOR MEIXNER POLYNOMIALS | 8 |
| 16 | Sobolev orthogonal polynomials: Interpolation and approximation. | 4 |
| 17 | 32 | |
| 18 | 14 | |
| 19 | 26 | |
| 20 | 2 |
About Miguel A. Piñar
Miguel A. Piñar is a scholar working on Applied Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 56 papers that have together received 437 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (53 papers), Matrix Theory and Algorithms (20 papers) and Quantum Mechanics and Non-Hermitian Physics (9 papers). The work is most often cited by research in Applied Mathematics (399 citations), Numerical Analysis (101 citations) and Computational Theory and Mathematics (125 citations). Miguel A. Piñar has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Teresa E. Pérez, Francisco Marcellán, Yuan Xu, H.G. Meijer, Juan J. Moreno–Balcázar, M.L. Rezola, Manuel Alfaro, Andrei Martı́nez-Finkelshtein, Yuan Xu and A. Ronveaux. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Applied Mathematics and Computation and Journal of Computational and Applied Mathematics.
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.