Marcos Raydan

4.9k total citations · 2 hit papers
80 papers, 3.3k citations indexed

About

Marcos Raydan is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Marcos Raydan has authored 80 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Numerical Analysis, 61 papers in Computational Theory and Mathematics and 30 papers in Computational Mechanics. Recurrent topics in Marcos Raydan's work include Advanced Optimization Algorithms Research (55 papers), Matrix Theory and Algorithms (42 papers) and Sparse and Compressive Sensing Techniques (23 papers). Marcos Raydan is often cited by papers focused on Advanced Optimization Algorithms Research (55 papers), Matrix Theory and Algorithms (42 papers) and Sparse and Compressive Sensing Techniques (23 papers). Marcos Raydan collaborates with scholars based in Venezuela, Brazil and United States. Marcos Raydan's co-authors include J. M. Martı́nez, Ernesto G. Birgin, William La Cruz, B. F. Svaiter, T. L. Hayden, W. Glunt, Ana Friedlander, Pablo Tarazaga, Joaquím J. Júdice and Sandra A. Santos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mathematics of Computation and Journal of Computational Chemistry.

In The Last Decade

Marcos Raydan

75 papers receiving 3.0k citations

Hit Papers

Nonmonotone Spectral Projected Gradient Methods on Convex... 1997 2026 2006 2016 2000 1997 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nonmonotone Spectral Projected Gradient Methods on Convex Sets
    2000 689 citations Ernesto G. Birgin, J. M. Martı́nez et al. SIAM Journal on Optimization profile →
  2. The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem
    1997 554 citations Marcos Raydan SIAM Journal on Optimization profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcos Raydan Venezuela 22 2.0k 1.5k 1.3k 384 328 80 3.3k
Hongchao Zhang United States 22 2.1k 1.0× 1.3k 0.9× 1.6k 1.2× 581 1.5× 304 0.9× 61 3.5k
Ya-xiang Yuan China 28 2.1k 1.1× 1.5k 1.0× 1.2k 0.9× 597 1.6× 188 0.6× 89 3.8k
Li‐Zhi Liao Hong Kong 25 1.1k 0.5× 981 0.7× 667 0.5× 504 1.3× 136 0.4× 88 2.6k
Trond Steihaug Norway 12 1.4k 0.7× 1.3k 0.9× 789 0.6× 177 0.5× 114 0.3× 61 2.4k
Jérôme Bolte France 20 1.5k 0.7× 1.5k 1.1× 2.7k 2.1× 690 1.8× 739 2.3× 37 4.4k
Yu‐Hong Dai China 29 1.6k 0.8× 1.1k 0.7× 1.2k 0.9× 412 1.1× 230 0.7× 129 3.3k
Allan Pinkus Israel 23 993 0.5× 652 0.4× 745 0.6× 767 2.0× 334 1.0× 95 3.6k
Andrea Walther Germany 19 806 0.4× 917 0.6× 820 0.6× 358 0.9× 56 0.2× 85 3.4k
Bertrand Mercier France 11 1.1k 0.5× 1.4k 0.9× 1.9k 1.5× 280 0.7× 594 1.8× 23 3.4k
Arnulf Jentzen Germany 27 540 0.3× 512 0.4× 950 0.7× 603 1.6× 309 0.9× 107 4.0k

Countries citing papers authored by Marcos Raydan

Since Specialization
Citations

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

Fields of papers citing papers by Marcos Raydan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcos Raydan

This figure shows the co-authorship network connecting the top 25 collaborators of Marcos Raydan. A scholar is included among the top collaborators of Marcos Raydan 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 Marcos Raydan. Marcos Raydan 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.
Krejić, Nataša, et al.. (2023). A Low-Cost Alternating Projection Approach for a Continuous Formulation of Convex and Cardinality Constrained Optimization. Operations Research Forum. 4(4). 1 indexed citations
2.
Andreani, Roberto, A. L. Custódio, & Marcos Raydan. (2020). An assessment of Direct MultiSearch when enriched with first-order information for multiobjective optimization. arXiv (Cornell University). 1 indexed citations
3.
Raydan, Marcos, et al.. (2019). Geometrical inverse matrix approximation for least-squares problems and\n acceleration strategies. arXiv (Cornell University). 1 indexed citations
4.
Martı́nez, J. M., et al.. (2019). Large-scale unconstrained optimization using separable cubic modeling and matrix-free subspace minimization. Computational Optimization and Applications. 75(1). 169–205. 1 indexed citations
5.
Raydan, Marcos, et al.. (2016). Inverse-free recursive multiresolution algorithms for a data approximation problem. Computers & Mathematics with Applications. 72(4). 1177–1187. 1 indexed citations
6.
Raydan, Marcos, et al.. (2014). Preconditioned conjugate gradient method for finding minimal energy surfaces on Powell–Sabin triangulations. Journal of Computational and Applied Mathematics. 268. 34–55. 10 indexed citations
7.
Raydan, Marcos, et al.. (2013). Pseudoinverse preconditioners and iterative methods for large dense linear least-squares problems. SHILAP Revista de lepidopterología. 2 indexed citations
8.
Andreani, Roberto, Marcos Raydan, & Pablo Tarazaga. (2012). On the geometrical structure of symmetric matrices. Linear Algebra and its Applications. 438(3). 1201–1214. 4 indexed citations
9.
Raydan, Marcos, et al.. (2010). A new inversion-free method for a rational matrix equation. Linear Algebra and its Applications. 433(1). 64–71. 27 indexed citations
10.
Higham, Nicholas J., et al.. (2010). Computing a Nearest Correlation Matrix with Factor Structure. SIAM Journal on Matrix Analysis and Applications. 31(5). 2603–2622. 26 indexed citations
11.
Raydan, Marcos, et al.. (2008). Geometrical properties of the Frobenius condition number for positive definite matrices. Linear Algebra and its Applications. 429(8-9). 2089–2097. 13 indexed citations
12.
Datta, Biswa Nath, et al.. (2008). A symmetry preserving alternating projection method for matrix model updating. Mechanical Systems and Signal Processing. 23(6). 1784–1791. 21 indexed citations
13.
Martı́nez, J. M., et al.. (2007). A derivative-free nonmonotone line-search technique for unconstrained optimization. Journal of Computational and Applied Mathematics. 219(2). 383–397. 24 indexed citations
14.
Raydan, Marcos, et al.. (2005). PRECONDITIONED SPECTRAL PROJECTED GRADIENT METHOD ON CONVEX SETS. 计算数学：英文版. 23(3). 225–232. 9 indexed citations
15.
Raydan, Marcos, et al.. (2002). Smooth and adaptive gradient method with retards. Mathematical and Computer Modelling. 36(9-10). 1161–1168. 6 indexed citations
16.
Raydan, Marcos & Pablo Tarazaga. (2002). Primal and polar approach for computing the symmetric diagonally dominant projection. Numerical Linear Algebra with Applications. 9(5). 333–345. 8 indexed citations
17.
Tarazaga, Pablo, et al.. (2001). Perron–Frobenius theorem for matrices with some negative entries. Linear Algebra and its Applications. 328(1-3). 57–68. 35 indexed citations
18.
Birgin, Ernesto G., J. M. Martı́nez, & Marcos Raydan. (2000). Nonmonotone Spectral Projected Gradient Methods on Convex Sets. SIAM Journal on Optimization. 10(4). 1196–1211. 689 indexed citations breakdown →
19.
Raydan, Marcos, et al.. (1998). Dykstra's algorithm for constrained least-squares rectangular matrix problems. Computers & Mathematics with Applications. 35(6). 73–79. 15 indexed citations
20.
Glunt, W., T. L. Hayden, & Marcos Raydan. (1993). Molecular conformations from distance matrices. Journal of Computational Chemistry. 14(1). 114–120. 115 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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