Enriqueta Vercher

1.8k total citations
43 papers, 1.3k citations indexed

About

Enriqueta Vercher is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics. According to data from OpenAlex, Enriqueta Vercher has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Management Science and Operations Research, 17 papers in Statistics and Probability and 12 papers in Computational Theory and Mathematics. Recurrent topics in Enriqueta Vercher's work include Forecasting Techniques and Applications (17 papers), Risk and Portfolio Optimization (13 papers) and Fuzzy Systems and Optimization (11 papers). Enriqueta Vercher is often cited by papers focused on Forecasting Techniques and Applications (17 papers), Risk and Portfolio Optimization (13 papers) and Fuzzy Systems and Optimization (11 papers). Enriqueta Vercher collaborates with scholars based in Spain, Canada and United States. Enriqueta Vercher's co-authors include José D. Bermúdez, J. Segura, Teresa León, Vicente Liern, Mariano Luque, Ana Belén Mirete Ruíz, Rubén Saborido, Enrique Benavent, José-Manuel Belenguer and Ramón Álvarez-Valdés and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Enriqueta Vercher

42 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enriqueta Vercher Spain 20 853 329 211 168 155 43 1.3k
Karthik Natarajan Singapore 18 727 0.9× 138 0.4× 226 1.1× 167 1.0× 216 1.4× 50 1.2k
Julia L. Higle United States 15 616 0.7× 66 0.2× 373 1.8× 139 0.8× 135 0.9× 33 1.2k
Peter Kall Switzerland 11 593 0.7× 178 0.5× 515 2.4× 96 0.6× 163 1.1× 19 1.3k
Maarten H. van der Vlerk Netherlands 16 561 0.7× 143 0.4× 320 1.5× 67 0.4× 101 0.7× 47 931
Aurélie Thiele United States 9 649 0.8× 98 0.3× 421 2.0× 82 0.5× 90 0.6× 22 1.3k
Zaiming Liu China 18 489 0.6× 93 0.3× 86 0.4× 123 0.7× 62 0.4× 126 1.0k
Jitka Dupačová Czechia 18 967 1.1× 233 0.7× 493 2.3× 356 2.1× 328 2.1× 52 1.8k
Cécile Murat France 12 421 0.5× 85 0.3× 310 1.5× 49 0.3× 54 0.3× 30 1.1k
Virginie Gabrel France 14 432 0.5× 71 0.2× 330 1.6× 49 0.3× 54 0.3× 25 1.3k
William S. Jewell United States 17 497 0.6× 282 0.9× 93 0.4× 141 0.8× 253 1.6× 45 1.2k

Countries citing papers authored by Enriqueta Vercher

Since Specialization
Citations

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

Fields of papers citing papers by Enriqueta Vercher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enriqueta Vercher

This figure shows the co-authorship network connecting the top 25 collaborators of Enriqueta Vercher. A scholar is included among the top collaborators of Enriqueta Vercher 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 Enriqueta Vercher. Enriqueta Vercher 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.
Vercher, Enriqueta, et al.. (2022). A new approach to portfolio selection based on forecasting. Expert Systems with Applications. 215. 119370–119370. 5 indexed citations
2.
Ruíz, Ana Belén Mirete, Rubén Saborido, José D. Bermúdez, Mariano Luque, & Enriqueta Vercher. (2019). Preference-based evolutionary multi-objective optimization for portfolio selection: a new credibilistic model under investor preferences. Journal of Global Optimization. 76(2). 295–315. 19 indexed citations
3.
Bermúdez, José D., et al.. (2016). Forecasting portfolio returns using weighted fuzzy time series methods. International Journal of Approximate Reasoning. 75. 1–12. 19 indexed citations
4.
Saborido, Rubén, Ana Belén Mirete Ruíz, José D. Bermúdez, Enriqueta Vercher, & Mariano Luque. (2015). Evolutionary multi-objective optimization algorithms for fuzzy portfolio selection. Applied Soft Computing. 39. 48–63. 97 indexed citations
5.
Bermúdez, José D., et al.. (2015). Comparative analysis of forecasting portfolio returns using Soft Computing technologies. Advances in intelligent systems research. 2 indexed citations
6.
Bermúdez, José D., et al.. (2013). Bayesian forecasting of demand time-series data with zero values. European J of Industrial Engineering. 7(6). 777–777. 1 indexed citations
7.
Vercher, Enriqueta & José D. Bermúdez. (2012). A Possibilistic Mean-Downside Risk-Skewness Model for Efficient Portfolio Selection. IEEE Transactions on Fuzzy Systems. 21(3). 585–595. 56 indexed citations
8.
Bermúdez, José D., J. Segura, & Enriqueta Vercher. (2011). A multi-objective genetic algorithm for cardinality constrained fuzzy portfolio selection. Fuzzy Sets and Systems. 188(1). 16–26. 72 indexed citations
9.
Vercher, Enriqueta, et al.. (2011). Initial conditions estimation for improving forecast accuracy in exponential smoothing. Top. 20(2). 517–533. 12 indexed citations
10.
Bermúdez, José D., J. Segura, & Enriqueta Vercher. (2008). SIOPRED: a prediction and optimisation integrated system for demand. Top. 16(2). 258–271. 9 indexed citations
11.
Bermúdez, José D., J. Segura, & Enriqueta Vercher. (2007). Modelos borrosos de optimización para la selección de carteras basados en intervalos de medias. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Bermúdez, José D., J. Segura, & Enriqueta Vercher. (2007). A fuzzy ranking strategy for portfolio selection applied to the Spanish stock market. Proceedings of ... IEEE International Conference on Fuzzy Systems. 9. 1–4. 13 indexed citations
13.
Bermúdez, José D., J. Segura, & Enriqueta Vercher. (2007). Holt–Winters Forecasting: An Alternative Formulation Applied to UK Air Passenger Data. Journal of Applied Statistics. 34(9). 1075–1090. 47 indexed citations
14.
Vercher, Enriqueta. (2007). Portfolios with fuzzy returns: Selection strategies based on semi-infinite programming. Journal of Computational and Applied Mathematics. 217(2). 381–393. 19 indexed citations
15.
Bermúdez, José D., J. Segura, & Enriqueta Vercher. (2006). A decision support system methodology for forecasting of time series based on soft computing. Computational Statistics & Data Analysis. 51(1). 177–191. 32 indexed citations
16.
Bermúdez, José D., et al.. (2005). Fuzzy Portfolio Selection: a comparative study.. European Society for Fuzzy Logic and Technology Conference. 21(1). 709–713. 1 indexed citations
17.
León, Teresa, et al.. (2004). A DOWNSIDE RISK APPROACH FOR THE PORTFOLIO SELECTION PROBLEM WITH FUZZY RETURNS. 9(1). 11 indexed citations
18.
León, Teresa & Enriqueta Vercher. (2003). Solving a class of fuzzy linear programs by using semi-infinite programming techniques. Fuzzy Sets and Systems. 146(2). 235–252. 26 indexed citations
19.
León, Teresa, Vicente Liern, & Enriqueta Vercher. (2002). Viability of infeasible portfolio selection problems: A fuzzy approach. European Journal of Operational Research. 139(1). 178–189. 92 indexed citations
20.
Goberna, Miguel Á., Marco A. López, Jesús T. Pastor, & Enriqueta Vercher. (1984). An overview of semi-infinite programming theory and related topics through a generalization of the alternative theorems. Trabajos de Estadistica y de Investigacion Operativa. 35(1). 32–47. 1 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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