Ana Marco

508 total citations
26 papers, 352 citations indexed

About

Ana Marco is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Ana Marco has authored 26 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Theory and Mathematics, 14 papers in Numerical Analysis and 14 papers in Computational Mechanics. Recurrent topics in Ana Marco's work include Matrix Theory and Algorithms (16 papers), Advanced Numerical Analysis Techniques (14 papers) and Polynomial and algebraic computation (10 papers). Ana Marco is often cited by papers focused on Matrix Theory and Algorithms (16 papers), Advanced Numerical Analysis Techniques (14 papers) and Polynomial and algebraic computation (10 papers). Ana Marco collaborates with scholars based in Spain, United States and Chile. Ana Marco's co-authors include José‐Javier Martínez, J.M. Peña, Dario A. Bini, Steven Delvaux, Plamen Koev, Per‐Olof Persson, Jorge Delgado, Marc Van Barel and Margarita Alonso and has published in prestigious journals such as Journal of Computational and Applied Mathematics, Theoretical Computer Science and Linear Algebra and its Applications.

In The Last Decade

Ana Marco

25 papers receiving 338 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ana Marco Spain 11 266 150 131 54 46 26 352
E. Mainar Spain 10 130 0.5× 114 0.8× 358 2.7× 20 0.4× 44 1.0× 57 464
Gerhard Opfer Germany 12 172 0.6× 132 0.9× 100 0.8× 26 0.5× 160 3.5× 48 382
Plamen Simeonov United States 11 87 0.3× 73 0.5× 115 0.9× 30 0.6× 165 3.6× 44 341
Gunhild Lindskog Sweden 5 323 1.2× 136 0.9× 213 1.6× 137 2.5× 39 0.8× 11 423
Beong In Yun South Korea 11 88 0.3× 175 1.2× 56 0.4× 57 1.1× 66 1.4× 45 359
Tiexiang Li China 9 112 0.4× 52 0.3× 79 0.6× 51 0.9× 37 0.8× 51 261
G. Mühlbach Germany 11 122 0.5× 79 0.5× 160 1.2× 13 0.2× 62 1.3× 30 303
Stanisław Lewanowicz Poland 13 133 0.5× 121 0.8× 135 1.0× 122 2.3× 304 6.6× 44 469
Bor Plestenjak Slovenia 13 280 1.1× 202 1.3× 52 0.4× 57 1.1× 41 0.9× 44 404
János Karátson Hungary 14 323 1.2× 163 1.1× 346 2.6× 53 1.0× 103 2.2× 69 544

Countries citing papers authored by Ana Marco

Since Specialization
Citations

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

Fields of papers citing papers by Ana Marco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Marco

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Marco. A scholar is included among the top collaborators of Ana Marco 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 Ana Marco. Ana Marco 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
1.
Marco, Ana, et al.. (2024). Total positivity and least squares problems in the Lagrange basis. Numerical Linear Algebra with Applications. 31(4). 2 indexed citations
2.
Marco, Ana, et al.. (2023). Accurate bidiagonal decomposition of Lagrange–Vandermonde matrices and applications. Numerical Linear Algebra with Applications. 31(1). 2 indexed citations
3.
Marco, Ana, et al.. (2022). Accurate computations with totally positive matrices applied to the computation of Gaussian quadrature formulae. Electronic Journal of Linear Algebra. 777–791. 1 indexed citations
4.
Marco, Ana, et al.. (2022). Accurate computations with collocation matrices of the Lupaş-type (p,q)-analogue of the Bernstein basis. Linear Algebra and its Applications. 651. 312–331. 3 indexed citations
5.
Marco, Ana, et al.. (2020). Error analysis, perturbation theory and applications of the bidiagonal decomposition of rectangular totally positive h-Bernstein-Vandermonde matrices. Linear Algebra and its Applications. 613. 377–392. 2 indexed citations
6.
Marco, Ana, et al.. (2019). Accurate bidiagonal decomposition of totally positive h-Bernstein-Vandermonde matrices and applications. Linear Algebra and its Applications. 579. 320–335. 11 indexed citations
7.
Marco, Ana & José‐Javier Martínez. (2018). Accurate computation of the Moore–Penrose inverse of strictly totally positive matrices. Journal of Computational and Applied Mathematics. 350. 299–308. 36 indexed citations
8.
Marco, Ana, José‐Javier Martínez, & J.M. Peña. (2016). Accurate bidiagonal decomposition of totally positive Cauchy–Vandermonde matrices and applications. Linear Algebra and its Applications. 517. 63–84. 26 indexed citations
9.
Marco, Ana & José‐Javier Martínez. (2016). Bidiagonal decomposition of rectangular totally positive Said–Ball–Vandermonde matrices: Error analysis, perturbation theory and applications. Linear Algebra and its Applications. 495. 90–107. 15 indexed citations
10.
Marco, Ana, et al.. (2016). Accurate polynomial interpolation by using the Bernstein basis. Numerical Algorithms. 75(3). 655–674. 8 indexed citations
11.
Marco, Ana & José‐Javier Martínez. (2015). A total positivity property of the Marchenko-Pastur Law. Electronic Journal of Linear Algebra. 30. 4 indexed citations
12.
Marco, Ana, et al.. (2010). Polynomial least squares fitting in the Bernstein basis. Linear Algebra and its Applications. 433(7). 1254–1264. 35 indexed citations
13.
Delvaux, Steven, et al.. (2008). Fast computation of determinants of Bézout matrices and application to curve implicitization. Linear Algebra and its Applications. 430(1). 27–33. 2 indexed citations
14.
Marco, Ana, et al.. (2007). A fast and accurate algorithm for solving Bernstein–Vandermonde linear systems. Linear Algebra and its Applications. 422(2-3). 616–628. 66 indexed citations
15.
Marco, Ana & José‐Javier Martínez. (2007). Bernstein–Bezoutian matrices and curve implicitization. Theoretical Computer Science. 377(1-3). 65–72. 4 indexed citations
16.
Bini, Dario A. & Ana Marco. (2006). Computing curve intersection by means of simultaneous iterations. Numerical Algorithms. 43(2). 151–175. 10 indexed citations
17.
Marco, Ana & José‐Javier Martínez. (2004). A NEW SOURCE OF STRUCTURED SINGULAR VALUE DECOMPOSITION PROBLEMS. 18. 188–197. 2 indexed citations
18.
Marco, Ana & José‐Javier Martínez. (2004). Parallel computation of determinants of matrices with polynomial entries. Journal of Symbolic Computation. 37(6). 749–760. 11 indexed citations
19.
Alonso, Margarita, et al.. (2002). Calidad percibida por los pacientes quirúrgicos en un hospital de alta complejidad. Revista de Calidad Asistencial. 17(5). 284–291. 3 indexed citations
20.
Marco, Ana. (2002). Implicitization of rational surfaces by means of polynomial interpolation. Computer Aided Geometric Design. 19(5). 327–344. 13 indexed citations

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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