M.I. Bueno

444 total citations
33 papers, 263 citations indexed

About

M.I. Bueno is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M.I. Bueno has authored 33 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Theory and Mathematics, 18 papers in Numerical Analysis and 13 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M.I. Bueno's work include Matrix Theory and Algorithms (30 papers), Numerical methods for differential equations (14 papers) and Electromagnetic Scattering and Analysis (12 papers). M.I. Bueno is often cited by papers focused on Matrix Theory and Algorithms (30 papers), Numerical methods for differential equations (14 papers) and Electromagnetic Scattering and Analysis (12 papers). M.I. Bueno collaborates with scholars based in United States, Spain and Portugal. M.I. Bueno's co-authors include Francisco Marcellán, Susana Furtado, Froilán M. Dopico, Fernando De Terán, Charles R. Johnson, K. C. ‎Sivakumar, Jorge Sánchez-Ruiz, Alfredo Deaño and K.H. Kwon and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Applied Mathematics and Computation and Journal of Computational and Applied Mathematics.

In The Last Decade

M.I. Bueno

31 papers receiving 253 citations

Peers

M.I. Bueno
Comparison fields: 5 of 29
  • Computational Theory and Mathematics 204
  • Numerical Analysis 107
  • Applied Mathematics 98
  • Atomic and Molecular Physics, and Optics 83
  • Statistical and Nonlinear Physics 67
Replace K. Driver with:
K. Driver South Africa
Peter D Dragnev United States
Kathy Driver South Africa
D. E. Ferreyra Argentina
Jeannette Van Iseghem France
Luis Verde‐Star Mexico
Kerstin Jordaan South Africa
F‎. ‎E‎. Levis Argentina
U. Fidalgo Prieto Spain
M. Foupouagnigni Cameroon
K. Driver South Africa View profile →
Citations per field, relative to M.I. Bueno
M.I. Bueno · 1×
Citations per year, relative to M.I. Bueno
M.I. Bueno · 1×

Countries citing papers authored by M.I. Bueno

Since Specialization
Citations

This map shows the geographic impact of M.I. Bueno'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 M.I. Bueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.I. Bueno more than expected).

Fields of papers citing papers by M.I. Bueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.I. Bueno. 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 M.I. Bueno. The network helps show where M.I. Bueno may publish in the future.

Co-authorship network of co-authors of M.I. Bueno

This figure shows the co-authorship network connecting the top 25 collaborators of M.I. Bueno. A scholar is included among the top collaborators of M.I. Bueno 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 M.I. Bueno. M.I. Bueno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 1
4 1
5 1
6 10
7 7
8 2
9 16
10 11
11 18
12 25
13 2
14 3
15 2
16
Continuous symmetrized Sobolev inner products of order . II.
0
17 6
18 20
19 2
20 88

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.

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