J. Parra

945 total citations
58 papers, 606 citations indexed

About

J. Parra is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, J. Parra has authored 58 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computational Theory and Mathematics, 54 papers in Numerical Analysis and 20 papers in Control and Systems Engineering. Recurrent topics in J. Parra's work include Optimization and Variational Analysis (55 papers), Advanced Optimization Algorithms Research (54 papers) and Optimization and Mathematical Programming (8 papers). J. Parra is often cited by papers focused on Optimization and Variational Analysis (55 papers), Advanced Optimization Algorithms Research (54 papers) and Optimization and Mathematical Programming (8 papers). J. Parra collaborates with scholars based in Spain, United States and Australia. J. Parra's co-authors include M. J. Cánovas, Marco A. López, F. Javier Toledo, Boris S. Mordukhovich, Asen L. Dontchev, M. I. Todorov, Abderrahim Hantoute, Diethard Klatte, Manuel Cánovas and R. Henrion and has published in prestigious journals such as European Journal of Operational Research, Journal of Mathematical Analysis and Applications and Mathematical Programming.

In The Last Decade

J. Parra

52 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Parra Spain 15 520 494 221 81 76 58 606
M. J. Cánovas Spain 14 442 0.8× 422 0.9× 180 0.8× 67 0.8× 65 0.9× 57 516
N. Dinh Vietnam 15 670 1.3× 523 1.1× 162 0.7× 165 2.0× 25 0.3× 40 745
M. I. Todorov Spain 13 343 0.7× 323 0.7× 114 0.5× 59 0.7× 54 0.7× 44 418
Daishi Kuroiwa Japan 13 629 1.2× 450 0.9× 84 0.4× 199 2.5× 25 0.3× 47 712
Thái Doãn Chương Vietnam 18 854 1.6× 602 1.2× 265 1.2× 267 3.3× 48 0.6× 75 916
Elena Molho Italy 10 477 0.9× 377 0.8× 66 0.3× 65 0.8× 16 0.2× 20 508
N. D. Yen Vietnam 16 728 1.4× 509 1.0× 123 0.6× 57 0.7× 13 0.2× 52 784
A. Rufián-Lizana Spain 17 662 1.3× 304 0.6× 360 1.6× 218 2.7× 20 0.3× 42 935
Trúóng Xuân Dúc Hā Vietnam 11 515 1.0× 357 0.7× 81 0.4× 95 1.2× 8 0.1× 20 570
Abderrahim Hantoute Chile 10 287 0.6× 186 0.4× 81 0.4× 54 0.7× 19 0.3× 49 354

Countries citing papers authored by J. Parra

Since Specialization
Citations

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

Fields of papers citing papers by J. Parra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Parra

This figure shows the co-authorship network connecting the top 25 collaborators of J. Parra. A scholar is included among the top collaborators of J. Parra 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 J. Parra. J. Parra 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.
Cánovas, M. J., et al.. (2024). Feasibility problems via paramonotone operators in a convex setting. Optimization. 73(10). 3055–3086. 1 indexed citations
2.
Cánovas, M. J. & J. Parra. (2022). Stability and Sensitivity of Uncertain Linear Programs. Set-Valued and Variational Analysis. 30(4). 1403–1421.
3.
Cánovas, M. J., et al.. (2022). From Calmness to Hoffman Constants for Linear Semi-infinite Inequality Systems. SIAM Journal on Optimization. 32(4). 2859–2878.
4.
Cánovas, M. J., et al.. (2022). Robust and continuous metric subregularity for linear inequality systems. Computational Optimization and Applications. 86(3). 967–988.
5.
Cánovas, M. J., et al.. (2022). Lipschitz upper semicontinuity in linear optimization via local directional convexity. Optimization. 72(8). 2091–2108.
6.
Cánovas, M. J., et al.. (2021). Calmness of Linear Constraint Systems under Structured Perturbations with an Application to the Path-Following Scheme. Set-Valued and Variational Analysis. 29(4). 839–860. 1 indexed citations
7.
Cánovas, M. J., et al.. (2021). Projection-Based Local and Global Lipschitz Moduli of the Optimal Value in Linear Programming. Journal of Optimization Theory and Applications. 193(1-3). 280–299.
8.
Beer, Gerald, M. J. Cánovas, Marco A. López, & J. Parra. (2020). Lipschitz modulus of linear and convex inequality systems with the Hausdorff metric. Mathematical Programming. 189(1-2). 75–98. 3 indexed citations
9.
Beer, Gerald, M. J. Cánovas, Marco A. López, & J. Parra. (2020). A Uniform Approach to Hölder Calmness of Subdifferentials. FedUni ResearchOnline (Federation University Australia). 2 indexed citations
10.
Cánovas, M. J., et al.. (2019). An approach to calmness of linear inequality systems from Farkas lemma. Optimization Letters. 13(2). 295–307. 2 indexed citations
11.
Cánovas, M. J., et al.. (2018). Calmness of the Optimal Value in Linear Programming. SIAM Journal on Optimization. 28(3). 2201–2221. 5 indexed citations
12.
Cánovas, M. J., et al.. (2018). Lipschitz Modulus of the Optimal Value in Linear Programming. Journal of Optimization Theory and Applications. 182(1). 133–152. 4 indexed citations
13.
Cánovas, M. J., J. Parra, Jan-J. Rückmann, & F. Javier Toledo. (2017). Point-Based Neighborhoods for Sharp Calmness Constants in Linear Programming. Set-Valued and Variational Analysis. 25(4). 757–772. 4 indexed citations
14.
Cánovas, M. J., Asen L. Dontchev, Marco A. López, & J. Parra. (2008). Isolated calmness of solution mappings in convex semi-infinite optimization. Journal of Mathematical Analysis and Applications. 350(2). 829–837. 7 indexed citations
15.
Cánovas, M. J., et al.. (2008). Regularity modulus of arbitrarily perturbed linear inequality systems. Journal of Mathematical Analysis and Applications. 343(1). 315–327. 17 indexed citations
16.
Cánovas, M. J., Abderrahim Hantoute, Marco A. López, & J. Parra. (2008). Lipschitz modulus in convex semi-infinite optimizationviad.c. functions. ESAIM Control Optimisation and Calculus of Variations. 15(4). 763–781. 6 indexed citations
17.
Cánovas, M. J., Marco A. López, & J. Parra. (2007). On the equivalence of parametric contexts for linear inequality systems. Journal of Computational and Applied Mathematics. 217(2). 448–456. 1 indexed citations
18.
Cánovas, M. J., Marco A. López, J. Parra, & F. Javier Toledo. (2006). Ill-posedness with respect to the solvability in linear optimization. Linear Algebra and its Applications. 416(2-3). 520–540. 16 indexed citations
19.
López, Marco A., M. J. Cánovas, & J. Parra. (2002). Stability of the feasible set for linear inequality systems: A carrier index set approach. Linear Algebra and its Applications. 357(1-3). 83–105. 5 indexed citations
20.
Cánovas, M. J., Marco A. López, & J. Parra. (2002). Upper Semicontinuity of the Feasible Set Mapping for Linear Inequality Systems. Set-Valued Analysis. 10(4). 361–378. 19 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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