G. C. Bento

681 total citations
23 papers, 446 citations indexed

About

G. C. Bento is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Geometry and Topology. According to data from OpenAlex, G. C. Bento has authored 23 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Theory and Mathematics, 19 papers in Numerical Analysis and 7 papers in Geometry and Topology. Recurrent topics in G. C. Bento's work include Optimization and Variational Analysis (20 papers), Advanced Optimization Algorithms Research (19 papers) and Fixed Point Theorems Analysis (7 papers). G. C. Bento is often cited by papers focused on Optimization and Variational Analysis (20 papers), Advanced Optimization Algorithms Research (19 papers) and Fixed Point Theorems Analysis (7 papers). G. C. Bento collaborates with scholars based in Brazil, France and United States. G. C. Bento's co-authors include O. P. Ferreira, Paulo Roberto Oliveira, Jefferson G. Melo, Antoine Soubeyran, João Xavier da Cruz Neto, Genaro López-Acedo, Boris S. Mordukhovich and Yurii Nesterov and has published in prestigious journals such as European Journal of Operational Research, Annals of Operations Research and SIAM Journal on Optimization.

In The Last Decade

G. C. Bento

23 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. C. Bento Brazil	13	378	298	109	109	60	23	446
João Xavier da Cruz Neto Brazil	12	332 0.9×	277 0.9×	112 1.0×	96 0.9×	51 0.8×	24	388
L. R. Lucambio Pérez Brazil	9	402 1.1×	315 1.1×	110 1.0×	76 0.7×	66 1.1×	11	442
Erik Alex Papa Quiroz Peru	11	236 0.6×	194 0.7×	71 0.7×	53 0.5×	29 0.5×	34	283
S. Z. Németh United Kingdom	13	612 1.6×	356 1.2×	264 2.4×	70 0.6×	196 3.3×	59	771
Watcharaporn Cholamjiak Thailand	13	483 1.3×	327 1.1×	264 2.4×	135 1.2×	27 0.5×	93	604
Ya. I. Alber Israel	12	295 0.8×	163 0.5×	109 1.0×	65 0.6×	56 0.9×	28	391
Y. J. Cho South Korea	12	502 1.3×	332 1.1×	399 3.7×	84 0.8×	37 0.6×	32	709
Parin Chaipunya Thailand	10	136 0.4×	138 0.5×	162 1.5×	69 0.6×	49 0.8×	52	334
T. T. A. Nghia United States	15	478 1.3×	364 1.2×	111 1.0×	128 1.2×	57 0.9×	24	539
Hung M. Phan United States	11	267 0.7×	223 0.7×	61 0.6×	117 1.1×	35 0.6×	22	323

Countries citing papers authored by G. C. Bento

Since Specialization

Citations

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

Fields of papers citing papers by G. C. Bento

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. C. Bento. 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 G. C. Bento. The network helps show where G. C. Bento may publish in the future.

Co-authorship network of co-authors of G. C. Bento

This figure shows the co-authorship network connecting the top 25 collaborators of G. C. Bento. A scholar is included among the top collaborators of G. C. Bento 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 G. C. Bento. G. C. Bento is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bento, G. C., et al.. (2025). Convergence of Descent Optimization Algorithms under Polyak-Łojasiewicz-Kurdyka Conditions. Journal of Optimization Theory and Applications. 207(3). 2 indexed citations

Bento, G. C., et al.. (2024). A refined proximal algorithm for nonconvex multiobjective optimization in Hilbert spaces. Journal of Global Optimization. 92(1). 187–203. 1 indexed citations

Bento, G. C., et al.. (2022). Pareto solutions as limits of collective traps: an inexact multiobjective proximal point algorithm. Annals of Operations Research. 316(2). 1425–1443. 3 indexed citations

Bento, G. C., et al.. (2021). A new regularization of equilibrium problems on Hadamard manifolds: applications to theories of desires. Annals of Operations Research. 316(2). 1301–1318. 3 indexed citations

Bento, G. C., et al.. (2019). An extragradient-type algorithm for variational inequality on Hadamard manifolds. ESAIM Control Optimisation and Calculus of Variations. 26. 63–63. 10 indexed citations

Bento, G. C., et al.. (2018). The Proximal Point Method for Locally Lipschitz Functions in Multiobjective Optimization with Application to the Compromise Problem. SIAM Journal on Optimization. 28(2). 1104–1120. 22 indexed citations

Bento, G. C., et al.. (2017). A weighting subgradient algorithm for multiobjective optimization. Optimization Letters. 12(2). 399–410. 4 indexed citations

Bento, G. C., et al.. (2017). Proximal point method for a special class of nonconvex multiobjective optimization functions. Optimization Letters. 12(2). 311–320. 5 indexed citations

Bento, G. C., et al.. (2016). Generalized Proximal Distances for Bilevel Equilibrium Problems. SIAM Journal on Optimization. 26(1). 810–830. 16 indexed citations

10.

Bento, G. C. & Antoine Soubeyran. (2015). Generalized Inexact Proximal Algorithms: Routine’s Formation with Resistance to Change, Following Worthwhile Changes. Journal of Optimization Theory and Applications. 166(1). 172–187. 13 indexed citations

11.

Bento, G. C. & Antoine Soubeyran. (2015). A Generalized Inexact Proximal Point Method for Nonsmooth Functions that Satisfies Kurdyka Lojasiewicz Inequality. Set-Valued and Variational Analysis. 23(3). 501–517. 7 indexed citations

12.

Bento, G. C., et al.. (2015). An Existence Result for the Generalized Vector Equilibrium Problem on Hadamard Manifolds. Journal of Optimization Theory and Applications. 167(2). 550–557. 12 indexed citations

13.

Bento, G. C. & Antoine Soubeyran. (2014). Inexact proximal algorithms in models of Behavioral Sciences. arXiv (Cornell University). 1 indexed citations

14.

Bento, G. C., et al.. (2014). A Proximal Point-Type Method for Multicriteria Optimization. Set-Valued and Variational Analysis. 22(3). 557–573. 31 indexed citations

15.

Bento, G. C., et al.. (2014). The self regulation problem as an inexact steepest descent method for multicriteria optimization. European Journal of Operational Research. 235(3). 494–502. 15 indexed citations

16.

Bento, G. C., et al.. (2013). An Inexact Steepest Descent Method for Multicriteria Optimization on Riemannian Manifolds. Journal of Optimization Theory and Applications. 159(1). 108–124. 18 indexed citations

17.

Bento, G. C., et al.. (2013). A Subgradient Method for Multiobjective Optimization on Riemannian Manifolds. Journal of Optimization Theory and Applications. 159(1). 125–137. 33 indexed citations

18.

Bento, G. C., et al.. (2012). Finite termination of the proximal point method for convex functions on Hadamard manifolds. Optimization. 63(9). 1281–1288. 13 indexed citations

19.

Bento, G. C., O. P. Ferreira, & Paulo Roberto Oliveira. (2012). Proximal point method for a special class of nonconvex functions on Hadamard manifolds. Optimization. 64(2). 289–319. 56 indexed citations

20.

Bento, G. C. & Jefferson G. Melo. (2011). Subgradient Method for Convex Feasibility on Riemannian Manifolds. Journal of Optimization Theory and Applications. 152(3). 773–785. 45 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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