M. Gasca

2.6k citations
45 papers · 1.5k indexed · h-index 16

Impact in

Papers in

M. Gasca

45 papers receiving 1.4k citations

Peers

M. Gasca
Comparison fields: 5 of 78
  • Computational Mathematics 125
  • Numerical Analysis 377
  • Computational Theory and Mathematics 860
  • Algebra and Number Theory 185
  • Geometry and Topology 224
Replace Jan Verschelde with:
Jan Verschelde United States
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M. Gasca relative to Jan Verschelde United States Jan Verschelde's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Gasca

Since Specialization
Citations

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

Fields of papers citing papers by M. Gasca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside M. Gasca, 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. Gasca Line = papers co-authored together M. Gasca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20086
2
Planar configurations with simple Lagrange interpolation formulae
20016
3 20005
4 20006
5 2000115
6 199722
7
Banded matrices with banded inverses III: p-slanted matrices
19943
8
Corner cutting algorithms and totally positive matrices
19946
9 199418
10 199486
11 1992168
12 19925
13 199011
14 198927
15 19892
16 19876
17 19873
18 198524
19 198411
20 19801

About M. Gasca

M. Gasca is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Computational Mechanics, Applied Mathematics and Algebra and Number Theory, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (24 papers), Matrix Theory and Algorithms (15 papers), Polynomial and algebraic computation (13 papers), Mathematical functions and polynomials (9 papers), graph theory and CDMA systems (6 papers), Numerical methods in engineering (6 papers), Numerical methods for differential equations (5 papers) and Iterative Methods for Nonlinear Equations (3 papers). The work is most often cited by research in Computational Mathematics (125 citations), Numerical Analysis (377 citations), Computational Theory and Mathematics (860 citations), Algebra and Number Theory (185 citations) and Geometry and Topology (224 citations). M. Gasca has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Thomas Sauer, J.M. Peña, Charles A. Micchelli, G. Mühlbach, J. M. Carnicer, Wolfgang Dahmen, José‐Javier Martínez, Pedro Alonso, Ingram Olkin and Victoriano Ramı́rez González. Their work appears in journals such as Journal of Computational and Applied Mathematics, Numerical Algorithms, Linear Algebra and its Applications, Advances in Computational Mathematics and Journal of Approximation Theory.

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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