Manuel Alfaro
- Applied Mathematics top 1%
- Plant Science top 10%
- Pharmacology top 5%
- Numerical Analysis top 5%
- Biotechnology top 5%
- Co-authors
- M.L. RezolaFrancisco MarcellánLucı́a Ramı́rezAntonio G. PisabarroJosé A. OguizaRaúl CastaneraJosé Luis LavínA. Ronveaux
- Topics
- Mathematical functions and polynomials (28 papers)Differential Equations and Boundary Problems (9 papers)Matrix Theory and Algorithms (9 papers)
- Partner nations
- SpainItalyUnited States
In The Last Decade
Manuel Alfaro
43 papers receiving 820 citations
Peers
Comparison fields: 5 of 79
- Applied Mathematics 408
- Plant Science 334
- Pharmacology 180
- Numerical Analysis 135
- Biotechnology 134
Countries citing papers authored by Manuel Alfaro
This map shows the geographic impact of Manuel Alfaro'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 Manuel Alfaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Alfaro more than expected).
Fields of papers citing papers by Manuel Alfaro
This network shows the impact of papers produced by Manuel Alfaro. 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 Manuel Alfaro. The network helps show where Manuel Alfaro may publish in the future.
Co-authorship network of co-authors of Manuel Alfaro
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Alfaro. A scholar is included among the top collaborators of Manuel Alfaro 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 Manuel Alfaro. Manuel Alfaro 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 | 1 | |
| 4 | 3 | |
| 5 | 33 | |
| 6 | El Seminario Rubio de Francia de la Universidad de Zaragoza | 0 |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 28 | |
| 10 | Sobolev orthogonal polynomials: how to balance and asymptotics | 1 |
| 11 | 5 | |
| 12 | Hermitian modifications of Toeplitz linear functionals and orthogonal polynomials | 1 |
| 13 | 15 | |
| 14 | 24 | |
| 15 | 8 | |
| 16 | Los inicios de la medición psicológica en el marco escolar catalón | 3 |
| 17 | 21 | |
| 18 | 84 | |
| 19 | Emilio Mira y López: Nuevos datos bibliográficos | 1 |
| 20 | 11 |
About Manuel Alfaro
Manuel Alfaro is a scholar working on Applied Mathematics, Numerical Analysis and Algebra and Number Theory, having authored 46 papers that have together received 875 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (28 papers), Differential Equations and Boundary Problems (9 papers) and Matrix Theory and Algorithms (9 papers). The work is most often cited by research in Applied Mathematics (408 citations), Numerical Analysis (135 citations) and Biotechnology (134 citations). Manuel Alfaro has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include M.L. Rezola, Francisco Marcellán, Lucı́a Ramı́rez, Antonio G. Pisabarro, José A. Oguiza, Raúl Castanera, José Luis Lavín, A. Ronveaux, Alejandra Omarini and Gúmer Pérez. Their work appears in journals such as Applied and Environmental Microbiology, Bioresource Technology and Scientific Reports.
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.