Elena Molho

733 total citations
20 papers, 508 citations indexed

About

Elena Molho is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Management Science and Operations Research. According to data from OpenAlex, Elena Molho has authored 20 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Theory and Mathematics, 17 papers in Numerical Analysis and 4 papers in Management Science and Operations Research. Recurrent topics in Elena Molho's work include Optimization and Variational Analysis (19 papers), Advanced Optimization Algorithms Research (17 papers) and Risk and Portfolio Optimization (4 papers). Elena Molho is often cited by papers focused on Optimization and Variational Analysis (19 papers), Advanced Optimization Algorithms Research (17 papers) and Risk and Portfolio Optimization (4 papers). Elena Molho collaborates with scholars based in Italy, Spain and Netherlands. Elena Molho's co-authors include Enrico Miglierina, Angelo Guerraggio, C. Gutiérrez, Alberto Zaffaroni, Matteo Rocca, Vicente Novo, Maria Cristina Recchioni, Bienvenido Jiménez, L. Cerboni Baiardi and Ewa M. Bednarczuk and has published in prestigious journals such as European Journal of Operational Research, SIAM Journal on Optimization and Nonlinear Analysis.

In The Last Decade

Elena Molho

18 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elena Molho Italy 10 477 377 87 84 66 20 508
Enrico Miglierina Italy 10 480 1.0× 373 1.0× 103 1.2× 87 1.0× 57 0.9× 30 511
A. Göpfert Germany 5 451 0.9× 315 0.8× 127 1.5× 68 0.8× 47 0.7× 9 513
Trúóng Xuân Dúc Hā Vietnam 11 515 1.1× 357 0.9× 93 1.1× 170 2.0× 81 1.2× 20 570
Truong Q. Bao United States 11 504 1.1× 330 0.9× 147 1.7× 40 0.5× 71 1.1× 32 543
C. S. Lalitha India 16 658 1.4× 461 1.2× 140 1.6× 119 1.4× 129 2.0× 58 698
Ivan Ginchev Italy 13 444 0.9× 327 0.9× 75 0.9× 30 0.4× 77 1.2× 40 480
C. Gutiérrez Spain 17 751 1.6× 594 1.6× 173 2.0× 104 1.2× 102 1.5× 47 774
Sorin‐Mihai Grad Germany 12 497 1.0× 360 1.0× 97 1.1× 34 0.4× 80 1.2× 39 544
Tamaki Tanaka Japan 11 361 0.8× 229 0.6× 102 1.2× 97 1.2× 118 1.8× 52 507
Marius Durea Romania 13 472 1.0× 358 0.9× 147 1.7× 66 0.8× 66 1.0× 53 482

Countries citing papers authored by Elena Molho

Since Specialization
Citations

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

Fields of papers citing papers by Elena Molho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Molho

This figure shows the co-authorship network connecting the top 25 collaborators of Elena Molho. A scholar is included among the top collaborators of Elena Molho 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 Elena Molho. Elena Molho 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.
Miglierina, Enrico, et al.. (2023). On proper minimality in set optimization. Optimization Letters. 18(2). 513–528.
2.
Baiardi, L. Cerboni, et al.. (2022). Scalarization and robustness in uncertain vector optimization problems: a non componentwise approach. Journal of Global Optimization. 84(2). 295–320. 3 indexed citations
3.
Baiardi, L. Cerboni, et al.. (2019). Primal worst and dual best in robust vector optimization. European Journal of Operational Research. 275(3). 830–838. 3 indexed citations
4.
Gutiérrez, C., Enrico Miglierina, Elena Molho, & Vicente Novo. (2016). Convergence of Solutions of a Set Optimization Problem in the Image Space. Journal of Optimization Theory and Applications. 170(2). 358–371. 27 indexed citations
5.
Gutiérrez, C., Bienvenido Jiménez, Enrico Miglierina, & Elena Molho. (2014). Scalarization in set optimization with solid and nonsolid ordering cones. Journal of Global Optimization. 61(3). 525–552. 48 indexed citations
6.
Bianchi, Monica, Enrico Miglierina, Elena Molho, & R. Pini. (2012). Some Results on Condition Numbers in Convex Multiobjective Optimization. Set-Valued and Variational Analysis. 21(1). 47–65. 4 indexed citations
7.
Bednarczuk, Ewa M., Enrico Miglierina, & Elena Molho. (2011). A Mountain Pass-type Theorem for Vector-valued Functions. Set-Valued and Variational Analysis. 19(4). 569–587. 5 indexed citations
8.
Gutiérrez, C., Enrico Miglierina, Elena Molho, & Vicente Novo. (2011). Pointwise well-posedness in set optimization with cone proper sets. Nonlinear Analysis. 75(4). 1822–1833. 60 indexed citations
9.
Miglierina, Enrico & Elena Molho. (2009). Sectionwise connected sets in vector optimization. Operations Research Letters. 37(4). 295–298. 8 indexed citations
10.
Miglierina, Enrico, Elena Molho, & Maria Cristina Recchioni. (2009). An interior point method for linearly constrained multiobjective optimization based on suitable descent directions. IrInSubria (University of Insubria). 89–102. 1 indexed citations
11.
Miglierina, Enrico, Elena Molho, Fioravante Patrone, & S.H. Tijs. (2008). Axiomatic approach to approximate solutions in multiobjective optimization. Decisions in Economics and Finance. 31(2). 95–115. 4 indexed citations
12.
Miglierina, Enrico, Elena Molho, & Matteo Rocca. (2008). Critical Points Index for Vector Functions and Vector Optimization. Journal of Optimization Theory and Applications. 138(3). 479–496. 8 indexed citations
13.
Miglierina, Enrico, Elena Molho, & Maria Cristina Recchioni. (2007). Box-constrained multi-objective optimization: A gradient-like method without “a priori” scalarization. European Journal of Operational Research. 188(3). 662–682. 53 indexed citations
14.
Miglierina, Enrico, Elena Molho, & Matteo Rocca. (2005). Well-Posedness and Scalarization in Vector Optimization. Journal of Optimization Theory and Applications. 126(2). 391–409. 63 indexed citations
15.
Miglierina, Enrico & Elena Molho. (2005). Convergence of Minimal Sets in Convex Vector Optimization. SIAM Journal on Optimization. 15(2). 513–526. 22 indexed citations
16.
Guerraggio, Angelo & Elena Molho. (2003). The origins of quasi-concavity: a development between mathematics and economics. Historia Mathematica. 31(1). 62–75. 24 indexed citations
17.
Miglierina, Enrico & Elena Molho. (2003). Well-posedness and convexity in vector optimization. Mathematical Methods of Operations Research. 58(3). 375–385. 40 indexed citations
18.
Miglierina, Enrico & Elena Molho. (2003). Generalized convexity and well-posedness in vector optimization. IrInSubria (University of Insubria). 131–138. 2 indexed citations
19.
Miglierina, Enrico & Elena Molho. (2002). Scalarization and Stability in Vector Optimization. Journal of Optimization Theory and Applications. 114(3). 657–670. 46 indexed citations
20.
Guerraggio, Angelo, Elena Molho, & Alberto Zaffaroni. (1994). On the notion of proper efficiency in vector optimization. Journal of Optimization Theory and Applications. 82(1). 1–21. 87 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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