J.M. Peña

4.9k citations
261 papers · 3.7k · h-index 28

Impact in

Papers in

J.M. Peña

243 papers receiving 3.4k citations

Peers

J.M. Peña
Comparison fields: 5 of 102
  • Numerical Analysis 1.2k
  • Computational Theory and Mathematics 1.9k
  • Algebra and Number Theory 323
  • Computational Mathematics 41
  • Computational Mechanics 1.4k
Replace Stefano Serra‐Capizzano with:
Stefano Serra‐Capizzano Italy
Raymond H. Chan Hong Kong
Eugene L. Allgower United States
Adhemar Bultheel Belgium
Kurt Georg United States
Andrew J. Sommese United States
Ronald Cools Belgium
Klaus Höllig Germany
Amos Ron United States
M. Gasca Spain
J.M. Peña relative to Stefano Serra‐Capizzano Italy Stefano Serra‐Capizzano's profile →
Citations per field
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Stefano Serra‐Capizzano · 1×
Citations per year

Countries citing papers authored by J.M. Peña

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J.M. Peña, 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 J.M. Peña Line = papers co-authored together J.M. Peña links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 261 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997304
2 1992178
3 1993157
4 1996132
5 2001120
6 1994115
7 1996112
8 199492
9 200182
10 199773
11 199361
12 200957
13 200657
14 201053
15 201346
16 199645
17 200343
18 200337
19 201536
20 199734

About J.M. Peña

J.M. Peña is a scholar working on Computational Theory and Mathematics, Computational Mechanics, Numerical Analysis, Electrical and Electronic Engineering and Applied Mathematics, having authored 261 papers that have together received 3.7k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (137 papers), Advanced Numerical Analysis Techniques (92 papers), graph theory and CDMA systems (54 papers), Advanced Optimization Algorithms Research (45 papers), Iterative Methods for Nonlinear Equations (30 papers), Polynomial and algebraic computation (29 papers), Advanced Topics in Algebra (21 papers) and Mathematical functions and polynomials (21 papers). The work is most often cited by research in Numerical Analysis (1.2k citations), Computational Theory and Mathematics (1.9k citations), Algebra and Number Theory (323 citations), Computational Mathematics (41 citations) and Computational Mechanics (1.4k citations). J.M. Peña has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include J. M. Carnicer, M. Gasca, Jorge Delgado, E. Mainar, Norberto Malpica, Francisco del Pozo, J.J. Vaquero, A. Santos, Wolfgang Dahmen and J. Sánchez-Reyes. Their work appears in journals such as Linear Algebra and its Applications, Journal of Computational and Applied Mathematics, Computer Aided Geometric Design, Numerical Linear Algebra with Applications and Advances in Computational 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.

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