M. Pasadas

1.1k citations
76 papers · 858 · h-index 13

Impact in

Papers in

    • Advanced Numerical Analysis Techniques 45
    • Advanced Numerical Methods in Computational Mathematics 22
    • Mathematical functions and polynomials 16
    • Differential Equations and Boundary Problems 4

M. Pasadas

72 papers receiving 811 citations

Peers

M. Pasadas
Comparison fields: 5 of 89
  • Computational Mechanics 246
  • Numerical Analysis 32
  • Management Science and Operations Research 111
  • Applied Mathematics 76
  • Signal Processing 41
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Li United States
Stevan S. Dubljevic Canada
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Jean‐Philippe Chancelier France
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Yingchao Zhang China
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Citations per year

Countries citing papers authored by M. Pasadas

Since Specialization
Citations

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

Fields of papers citing papers by M. Pasadas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside M. Pasadas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Pasadas Line = papers co-authored together M. Pasadas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007188
2 2007143
3 201255
4 201230
5 200028
6 200318
7 200016
8 201116
9 200315
10 200715
11 200713
12 201113
13 201413
14 201813
15 200712
16 200712
17 201412
18 200111
19 200110
20 201110

About M. Pasadas

M. Pasadas is a scholar working on Computational Mechanics, Applied Mathematics, Numerical Analysis, Mechanics of Materials and Statistics and Probability, having authored 76 papers that have together received 858 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (45 papers), Advanced Numerical Methods in Computational Mathematics (22 papers), Mathematical functions and polynomials (16 papers), Numerical methods in engineering (10 papers), Numerical methods for differential equations (5 papers), Fuzzy Systems and Optimization (5 papers), Differential Equations and Boundary Problems (4 papers) and Mathematical Approximation and Integration (4 papers). The work is most often cited by research in Computational Mechanics (246 citations), Numerical Analysis (32 citations), Management Science and Operations Research (111 citations), Applied Mathematics (76 citations) and Signal Processing (41 citations). M. Pasadas has collaborated with scholars based in Spain, Morocco and United States. Frequent co-authors include Olga Valenzuela, Ignacio Rojas, Alberto Guillén, H. Pomares, Luis Javier Herrera, Fernando Rojas, Miguel Luis Rodríguez, Juan de Oña, D. Barrera and Laura Garach. Their work appears in journals such as Journal of Computational and Applied Mathematics, Mathematics and Computers in Simulation, Applied Numerical Mathematics, Computers & Mathematics with Applications and Applied Mathematical Modelling.

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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