Miriam Esteve

409 total citations
19 papers, 254 citations indexed

About

Miriam Esteve is a scholar working on Management Science and Operations Research, Environmental Engineering and Strategy and Management. According to data from OpenAlex, Miriam Esteve has authored 19 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 3 papers in Environmental Engineering and 2 papers in Strategy and Management. Recurrent topics in Miriam Esteve's work include Efficiency Analysis Using DEA (12 papers), Environmental Impact and Sustainability (3 papers) and Forecasting Techniques and Applications (2 papers). Miriam Esteve is often cited by papers focused on Efficiency Analysis Using DEA (12 papers), Environmental Impact and Sustainability (3 papers) and Forecasting Techniques and Applications (2 papers). Miriam Esteve collaborates with scholars based in Spain, Poland and United States. Miriam Esteve's co-authors include Juan Aparicio, Joe Zhu, Fernando Miró Llinares, Asier Moneva, Xavier Barber, José J. López‐Espín, Magdalena Kapelko and Antonio Falcó and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and IEEE Access.

In The Last Decade

Miriam Esteve

17 papers receiving 233 citations

Peers

Miriam Esteve

MSOR

Mohammad Khoveyni Iran

Xue Deng China

Ozren Despić United Kingdom

Konstantia Litsiou United Kingdom

Noureddine Kouaissah Morocco

Viet Tinh Nguyen Vietnam

Bernardo Bezerra Chile

Tim Höfer Germany

Marcele Elisa Fontana Brazil

Nima Rafizadeh United States

Mohammad Khoveyni Iran

Miriam Esteve

303 ×2.4

MSOR

113 ×1.9

51 ×1.2

12 ×0.3

51 ×1.6

Citations per year, relative to Miriam Esteve Miriam Esteve (= 1×) peers Mohammad Khoveyni

Countries citing papers authored by Miriam Esteve

Since Specialization

Citations

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

Fields of papers citing papers by Miriam Esteve

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Esteve

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

All Works

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19 of 19 papers shown

Esteve, Miriam & Antonio Falcó. (2025). Trajectory Classification Through Topological Data Analysis Perspectives. IEEE Access. 13. 32458–32469.

Aparicio, Juan, et al.. (2025). Selection of Variables in Data Envelopment Analysis Using the Li Test. International Journal of Information Technology & Decision Making. 25(1). 393–425.

Aparicio, Juan, et al.. (2024). Measuring environmental inefficiency through machine learning: An approach based on efficiency analysis trees and by-production technology. European Journal of Operational Research. 321(2). 529–542. 2 indexed citations

Esteve, Miriam & Antonio Falcó. (2024). tramoTDA: A trajectory monitoring system using Topological Data Analysis. SoftwareX. 28. 101953–101953. 1 indexed citations

Aparicio, Juan, et al.. (2023). Ranking the Importance of Variables in a Nonparametric Frontier Analysis Using Unsupervised Machine Learning Techniques. Mathematics. 11(11). 2590–2590. 1 indexed citations

Aparicio, Juan, et al.. (2023). Measuring technical efficiency for multi-input multi-output production processes through OneClass Support Vector Machines: a finite-sample study. Operational Research. 23(3). 10 indexed citations

Aparicio, Juan, Miriam Esteve, & Magdalena Kapelko. (2023). Measuring dynamic inefficiency through machine learning techniques. Expert Systems with Applications. 228. 120417–120417. 5 indexed citations

Aparicio, Juan, et al.. (2023). Estimating production functions through additive models based on regression splines. European Journal of Operational Research. 312(2). 684–699. 14 indexed citations

Aparicio, Juan, et al.. (2023). An unsupervised learning-based generalization of Data Envelopment Analysis. Operations Research Perspectives. 11. 100284–100284. 6 indexed citations

10.

Esteve, Miriam, et al.. (2022). Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull. European Journal of Operational Research. 304(2). 729–744. 44 indexed citations

11.

Aparicio, Juan, et al.. (2022). Performance Evaluation of Decision-Making Units Through Boosting Methods in the Context of Free Disposal Hull: Some Exact and Heuristic Algorithms. International Journal of Information Technology & Decision Making. 24(8). 2435–2464. 8 indexed citations

12.

Aparicio, Juan & Miriam Esteve. (2022). How to peel a data envelopment analysis frontier: A cross-validation-based approach. Journal of the Operational Research Society. 74(12). 2558–2572. 3 indexed citations

13.

Esteve, Miriam, et al.. (2022). eat: An R Package for fitting Efficiency Analysis Trees. The R Journal. 14(3). 249–281. 5 indexed citations

14.

Aparicio, Juan, et al.. (2022). Gradient tree boosting and the estimation of production frontiers. Expert Systems with Applications. 214. 119134–119134. 36 indexed citations

15.

Esteve, Miriam, et al.. (2021). Heuristic and Backtracking Algorithms for Improving the Performance of Efficiency Analysis Trees. IEEE Access. 9. 17421–17428. 17 indexed citations

16.

Esteve, Miriam, et al.. (2020). Efficiency analysis trees: A new methodology for estimating production frontiers through decision trees. Expert Systems with Applications. 162. 113783–113783. 62 indexed citations

17.

Llinares, Fernando Miró, Asier Moneva, & Miriam Esteve. (2018). Hate is in the air! But where? Introducing an algorithm to detect hate speech in digital microenvironments. Crime Science. 7(1). 27 indexed citations

18.

Esteve, Miriam, et al.. (2018). Classification of tweets with a mixed method based on pragmatic content and meta-information. International Journal of Design & Nature and Ecodynamics. 13(1). 60–70. 4 indexed citations

19.

Esteve, Miriam, et al.. (2010). Linguistic and Translation Studies in Scientific Communication. Peter Lang CH eBooks. 9 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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