F. Parreño

1.5k total citations
35 papers, 1.0k citations indexed

About

F. Parreño is a scholar working on Industrial and Manufacturing Engineering, Computer Graphics and Computer-Aided Design and Computer Networks and Communications. According to data from OpenAlex, F. Parreño has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Industrial and Manufacturing Engineering, 9 papers in Computer Graphics and Computer-Aided Design and 4 papers in Computer Networks and Communications. Recurrent topics in F. Parreño's work include Optimization and Packing Problems (29 papers), Advanced Manufacturing and Logistics Optimization (21 papers) and Vehicle Routing Optimization Methods (15 papers). F. Parreño is often cited by papers focused on Optimization and Packing Problems (29 papers), Advanced Manufacturing and Logistics Optimization (21 papers) and Vehicle Routing Optimization Methods (15 papers). F. Parreño collaborates with scholars based in Spain, Portugal and Colombia. F. Parreño's co-authors include Ramón Álvarez-Valdés, J.M. Tamarit, José Fernando Oliveira, María Teresa Alonso, Manuel Iori, Dario Pacino, Rafael Martı́, Antonio Martínez-Sykora, Maria Antónia Carravilla and Fermín Mallor and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Journal of the Operational Research Society.

In The Last Decade

F. Parreño

33 papers receiving 963 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Parreño Spain 19 958 293 50 34 32 35 1.0k
Cláudio Alves Portugal 16 618 0.6× 101 0.3× 81 1.6× 64 1.9× 22 0.7× 42 686
Mikkel M. Sigurd Denmark 10 597 0.6× 44 0.2× 35 0.7× 39 1.1× 12 0.4× 11 644
Túlio A. M. Toffolo Brazil 13 373 0.4× 21 0.1× 58 1.2× 44 1.3× 40 1.3× 29 479
André R. S. Amaral Brazil 17 1.0k 1.1× 49 0.2× 26 0.5× 360 10.6× 26 0.8× 30 1.1k
Denise Sato Yamashita Brazil 11 399 0.4× 46 0.2× 37 0.7× 49 1.4× 17 0.5× 18 484
Jannes Verstichel Belgium 10 276 0.3× 15 0.1× 27 0.5× 47 1.4× 14 0.4× 16 339
Antoine Jouglet France 12 232 0.2× 41 0.1× 104 2.1× 7 0.2× 44 1.4× 28 420
Behrooz Alizadeh Iran 14 213 0.2× 134 0.5× 99 2.0× 18 0.5× 9 0.3× 60 620
Andrea Bettinelli Italy 10 362 0.4× 7 0.0× 66 1.3× 103 3.0× 45 1.4× 19 463

Countries citing papers authored by F. Parreño

Since Specialization
Citations

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

Fields of papers citing papers by F. Parreño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Parreño

This figure shows the co-authorship network connecting the top 25 collaborators of F. Parreño. A scholar is included among the top collaborators of F. Parreño 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 F. Parreño. F. Parreño 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.
Martı́, Rafael, et al.. (2024). Mathematical models and solving methods for diversity and equity optimization. Journal of Heuristics. 30(5-6). 291–323.
2.
Mateo, Pedro M., et al.. (2024). The optimal container selection problem for parts transportation in the automotive sector. Expert Systems with Applications. 247. 123321–123321.
3.
Álvarez-Valdés, Ramón, et al.. (2024). Solving the Palliative Home Health Care Routing and Scheduling Problem with an integer linear programming model. Expert Systems with Applications. 249. 123728–123728. 3 indexed citations
4.
Parreño, F., et al.. (2024). The Normalized Direct Trigonometry Model for the Two-Dimensional Irregular Strip Packing Problem. Mathematics. 12(15). 2414–2414. 1 indexed citations
5.
Parreño, F., et al.. (2023). A matheuristic algorithm for the maintenance planning problem at an electricity transmission system operator. Expert Systems with Applications. 230. 120583–120583. 1 indexed citations
6.
Alonso, María Teresa, Antonio Martínez-Sykora, Ramón Álvarez-Valdés, & F. Parreño. (2022). The pallet-loading vehicle routing problem with stability constraints. European Journal of Operational Research. 302(3). 860–873. 13 indexed citations
7.
Álvarez-Valdés, Ramón, et al.. (2022). A beam search algorithm for minimizing crane times in premarshalling problems. European Journal of Operational Research. 302(3). 1063–1078. 4 indexed citations
8.
Alonso, María Teresa, et al.. (2022). Multi-container loading problems with multidrop and split delivery conditions. Computers & Industrial Engineering. 175. 108844–108844. 8 indexed citations
9.
Alonso, María Teresa, et al.. (2020). Logistic constraints in container loading problems: the impact of complete shipment conditions. Top. 29(1). 177–203. 10 indexed citations
10.
Parreño, F., Ramón Álvarez-Valdés, & Rafael Martı́. (2020). Measuring diversity. A review and an empirical analysis. European Journal of Operational Research. 289(2). 515–532. 27 indexed citations
11.
Parreño, F., María Teresa Alonso, & Ramón Álvarez-Valdés. (2020). Solving a large cutting problem in the glass manufacturing industry. European Journal of Operational Research. 287(1). 378–388. 22 indexed citations
12.
Álvarez-Valdés, Ramón, et al.. (2019). Solution Strategies for a Multiport Container Ship Stowage Problem. Mathematical Problems in Engineering. 2019(1). 20 indexed citations
13.
Alonso, María Teresa, et al.. (2017). Solving a large multicontainer loading problem in the car manufacturing industry. Computers & Operations Research. 82. 139–152. 27 indexed citations
14.
Parreño, F., Dario Pacino, & Ramón Álvarez-Valdés. (2016). A GRASP algorithm for the container stowage slot planning problem. Transportation Research Part E Logistics and Transportation Review. 94. 141–157. 49 indexed citations
15.
Alonso, María Teresa, et al.. (2014). A reactive GRASP algorithm for the container loading problem with load-bearing constraints. European J of Industrial Engineering. 8(5). 669–669. 16 indexed citations
16.
Álvarez-Valdés, Ramón, F. Parreño, & J.M. Tamarit. (2012). A GRASP/Path Relinking algorithm for two- and three-dimensional multiple bin-size bin packing problems. Computers & Operations Research. 40(12). 3081–3090. 26 indexed citations
17.
Álvarez-Valdés, Ramón, F. Parreño, & J.M. Tamarit. (2006). Reactive GRASP for the strip-packing problem. Computers & Operations Research. 35(4). 1065–1083. 104 indexed citations
18.
Álvarez-Valdés, Ramón, F. Parreño, & J.M. Tamarit. (2006). A tabu search algorithm for a two-dimensional non-guillotine cutting problem. European Journal of Operational Research. 183(3). 1167–1182. 46 indexed citations
19.
Álvarez-Valdés, Ramón, F. Parreño, & J.M. Tamarit. (2004). A GRASP algorithm for constrained two-dimensional non-guillotine cutting problems. Journal of the Operational Research Society. 56(4). 414–425. 44 indexed citations
20.
Álvarez-Valdés, Ramón, F. Parreño, & J.M. Tamarit. (2004). A Tabu Search algorithm for two-dimensional non-guillotine cutting problems. 15 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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