Minerva Catral

34 papers receiving 262 citations

Peers

Minerva Catral
Comparison fields: 5 of 43
  • Computational Mathematics 8
  • Computational Theory and Mathematics 193
  • Geometry and Topology 74
  • Numerical Analysis 45
  • Algebra and Number Theory 37
Replace Susana Furtado with:
Susana Furtado Portugal
Alin Bostan France
John P. May United States
Masayuki Noro Japan
K. C. ‎Sivakumar India
Frank J. Hall United States
Bo-Ying Wang China
Aidan Roy Canada
Tateaki Sasaki Japan
Irina A. Kogan United States
Minerva Catral relative to Susana Furtado Portugal Susana Furtado's profile →
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Citations per year

Countries citing papers authored by Minerva Catral

Since Specialization
Citations

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

Fields of papers citing papers by Minerva Catral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200446
2 200934
3 200923
4 200819
5 200916
6 201016
7 200912
8 201411
9 20059
10 20228
11 20177
12 20147
13 20167
14 20057
15 20137
16 20096
17 20174
18 20154
19 20124
20 20053

About Minerva Catral

Minerva Catral is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Electrical and Electronic Engineering, Numerical Analysis and Statistical and Nonlinear Physics, having authored 37 papers that have together received 275 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (21 papers), graph theory and CDMA systems (13 papers), Graph theory and applications (11 papers), Advanced Graph Theory Research (7 papers), Mathematics and Applications (4 papers), Numerical methods for differential equations (4 papers), Advanced Topics in Algebra (4 papers) and Graph Labeling and Dimension Problems (2 papers). The work is most often cited by research in Computational Mathematics (8 citations), Computational Theory and Mathematics (193 citations), Geometry and Topology (74 citations), Numerical Analysis (45 citations) and Algebra and Number Theory (37 citations). Minerva Catral has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include P. van den Driessche, D.D. Olesky, Michael Neumann, Robert J. Plemmons, Lixing Han, Leslie Hogben, Steven J. Miller, Steve Kirkland, Pamela E. Harris and Nung-Sing Sze. Their work appears in journals such as Linear Algebra and its Applications, Electronic Journal of Linear Algebra, Discrete Applied Mathematics, Journal of Scientific Computing and Journal of Computational and Applied 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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