Vicente Novo

2.0k total citations
81 papers, 1.4k citations indexed

About

Vicente Novo is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Civil and Structural Engineering. According to data from OpenAlex, Vicente Novo has authored 81 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Computational Theory and Mathematics, 69 papers in Numerical Analysis and 14 papers in Civil and Structural Engineering. Recurrent topics in Vicente Novo's work include Optimization and Variational Analysis (77 papers), Advanced Optimization Algorithms Research (69 papers) and Topology Optimization in Engineering (14 papers). Vicente Novo is often cited by papers focused on Optimization and Variational Analysis (77 papers), Advanced Optimization Algorithms Research (69 papers) and Topology Optimization in Engineering (14 papers). Vicente Novo collaborates with scholars based in Spain, Italy and Chile. Vicente Novo's co-authors include Bienvenido Jiménez, C. Gutiérrez, Elena Molho, Enrico Miglierina, Fabián Flores-Bazán, Rubén López, Gianluca Giorgi, Miguel Sama, Tamaki Tanaka and Alejandro Vílchez 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

Vicente Novo

78 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vicente Novo Spain 24 1.4k 1.1k 314 223 176 81 1.4k
Bienvenido Jiménez Spain 20 1.0k 0.8× 855 0.8× 205 0.7× 218 1.0× 114 0.6× 55 1.1k
Phan Quốc Khánh Vietnam 26 1.8k 1.4× 1.1k 1.0× 783 2.5× 216 1.0× 126 0.7× 113 1.9k
Tadeusz Antczak Poland 18 1.1k 0.8× 713 0.6× 149 0.5× 555 2.5× 119 0.7× 125 1.2k
C. Gutiérrez Spain 17 751 0.6× 594 0.5× 173 0.6× 102 0.5× 104 0.6× 47 774
Lai-Jiu Lin Taiwan 25 1.6k 1.2× 755 0.7× 930 3.0× 179 0.8× 44 0.3× 105 1.8k
Thái Doãn Chương Vietnam 18 854 0.6× 602 0.5× 118 0.4× 265 1.2× 80 0.5× 75 916
Xie Ping Ding China 22 1.5k 1.1× 452 0.4× 919 2.9× 77 0.3× 66 0.4× 90 1.6k
Savin Treanţă Romania 20 930 0.7× 392 0.4× 122 0.4× 271 1.2× 315 1.8× 158 1.4k
Shih-sen Chang China 24 2.1k 1.6× 1.3k 1.1× 1.6k 5.1× 66 0.3× 129 0.7× 171 2.3k
N. D. Yen Vietnam 16 728 0.5× 509 0.5× 194 0.6× 123 0.6× 25 0.1× 52 784

Countries citing papers authored by Vicente Novo

Since Specialization
Citations

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

Fields of papers citing papers by Vicente Novo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vicente Novo

This figure shows the co-authorship network connecting the top 25 collaborators of Vicente Novo. A scholar is included among the top collaborators of Vicente Novo 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 Vicente Novo. Vicente Novo 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.
Jiménez, Bienvenido, et al.. (2020). A unified concept of approximate and quasi efficient solutions and associated subdifferentials in multiobjective optimization. Mathematical Programming. 189(1-2). 379–407. 2 indexed citations
2.
Novo, Vicente & Constantin Zălinescu. (2020). On Relatively Solid Convex Cones in Real Linear Spaces. Journal of Optimization Theory and Applications. 188(1). 277–290. 5 indexed citations
3.
Jiménez, Bienvenido, et al.. (2019). Six set scalarizations based on the oriented distance: properties and application to set optimization. Optimization. 69(3). 437–470. 17 indexed citations
4.
Gutiérrez, C., et al.. (2017). Nonlinear scalarization in multiobjective optimization with a polyhedral ordering cone. International Transactions in Operational Research. 25(3). 763–779. 10 indexed citations
5.
Gutiérrez, C., et al.. (2017). Approximate solutions of vector optimization problems via improvement sets in real linear spaces. Journal of Global Optimization. 70(4). 875–901. 14 indexed citations
6.
Jiménez, Bienvenido, Vicente Novo, & Miguel Sama. (2012). An extension of the Basic Constraint Qualification to nonconvex vector optimization problems. Journal of Global Optimization. 56(4). 1755–1771. 3 indexed citations
7.
Gutiérrez, C., et al.. (2012). Proper approximate solutions and -subdifferentials in vector optimization: Basic properties and limit behaviour. Nonlinear Analysis. 79. 52–67. 15 indexed citations
8.
Gutiérrez, C., et al.. (2011). Scalarization and saddle points of approximate proper solutions in nearly subconvexlike vector optimization problems. Journal of Mathematical Analysis and Applications. 389(2). 1046–1058. 23 indexed citations
9.
Gutiérrez, C., Bienvenido Jiménez, & Vicente Novo. (2011). Equivalent ε-efficiency notions in vector optimization. Top. 20(2). 437–455. 3 indexed citations
10.
Flores-Bazán, Fabián, C. Gutiérrez, & Vicente Novo. (2010). A Brézis–Browder principle on partially ordered spaces and related ordering theorems. Journal of Mathematical Analysis and Applications. 375(1). 245–260. 21 indexed citations
11.
Gutiérrez, C., Bienvenido Jiménez, & Vicente Novo. (2009). Optimality conditions via scalarization for a new -efficiency concept in vector optimization problems. European Journal of Operational Research. 201(1). 11–22. 28 indexed citations
12.
Giorgi, Gianluca, Bienvenido Jiménez, & Vicente Novo. (2008). Strong Kuhn–Tucker conditions and constraint qualifications in locally Lipschitz multiobjective optimization problems. Top. 17(2). 288–304. 31 indexed citations
13.
Jiménez, Bienvenido, Vicente Novo, & Miguel Sama. (2008). Scalarization and optimality conditions for strict minimizers in multiobjective optimization via contingent epiderivatives. Journal of Mathematical Analysis and Applications. 352(2). 788–798. 22 indexed citations
14.
Gutiérrez, C., Bienvenido Jiménez, & Vicente Novo. (2006). ε-Pareto Optimality Conditions for Convex Multiobjective Programming via Max Function. Numerical Functional Analysis and Optimization. 27(1). 57–70. 10 indexed citations
15.
Gutiérrez, C., Bienvenido Jiménez, & Vicente Novo. (2005). A chain rule for ɛ-subdifferentials with applications to approximate solutions in convex Pareto problems. Journal of Mathematical Analysis and Applications. 310(1). 309–327. 5 indexed citations
16.
Novo, Vicente, et al.. (2005). Duality and saddle-points for convex-like vector optimization problems on real linear spaces. Top. 13(2). 343–357. 7 indexed citations
17.
Novo, Vicente, et al.. (2004). Lagrange multipliers in multiobjective optimization under mixed assumptions of frechet and directioanl differentiability. 25(1). 34–47. 3 indexed citations
18.
Jiménez, Bienvenido & Vicente Novo. (2002). A finite dimensional extension of Lyusternik theorem with applications to multiobjective optimization. Journal of Mathematical Analysis and Applications. 270(2). 340–356. 14 indexed citations
19.
Novo, Vicente. (1991). Optimización de funciones no derivables. 37–50.
20.
Novo, Vicente, et al.. (1990). An extension of the inverse function theorem. Hispana. 84(4). 575–588.

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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