Luis Onieva

2.5k total citations
100 papers, 1.7k citations indexed

About

Luis Onieva is a scholar working on Industrial and Manufacturing Engineering, Building and Construction and Civil and Structural Engineering. According to data from OpenAlex, Luis Onieva has authored 100 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Industrial and Manufacturing Engineering, 25 papers in Building and Construction and 9 papers in Civil and Structural Engineering. Recurrent topics in Luis Onieva's work include Maritime Ports and Logistics (20 papers), Urban and Freight Transport Logistics (17 papers) and Vehicle Routing Optimization Methods (10 papers). Luis Onieva is often cited by papers focused on Maritime Ports and Logistics (20 papers), Urban and Freight Transport Logistics (17 papers) and Vehicle Routing Optimization Methods (10 papers). Luis Onieva collaborates with scholars based in Spain, Italy and Colombia. Luis Onieva's co-authors include Pablo Cortés, Jesús Muñuzuri, José Guadix Martín, J. Larrañeta, Sebastián Lozano, Jesús A. Carrillo-Castrillo, Alejandro Escudero-Santana, Ignacio Eguía, Fernando Guerrero and Juan Carlos Rubio‐Romero and has published in prestigious journals such as Journal of Cleaner Production, European Journal of Operational Research and Journal of Business Research.

In The Last Decade

Luis Onieva

84 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Onieva Spain 22 754 664 313 196 196 100 1.7k
Pablo Cortés Spain 24 777 1.0× 894 1.3× 375 1.2× 191 1.0× 380 1.9× 105 1.9k
Jesús Muñuzuri Spain 25 932 1.2× 1.1k 1.6× 464 1.5× 248 1.3× 248 1.3× 127 2.3k
Mihalis Golias United States 23 1.0k 1.3× 456 0.7× 392 1.3× 80 0.4× 123 0.6× 91 1.7k
Gangyan Xu Hong Kong 26 787 1.0× 820 1.2× 104 0.3× 109 0.6× 100 0.5× 102 2.3k
Milan Janić Netherlands 21 572 0.8× 415 0.6× 551 1.8× 92 0.5× 91 0.5× 56 1.5k
Peter Schuur Netherlands 23 756 1.0× 330 0.5× 93 0.3× 158 0.8× 92 0.5× 79 1.8k
Bo Zou United States 25 278 0.4× 486 0.7× 564 1.8× 105 0.5× 257 1.3× 88 1.9k
Chefi Triki Italy 20 472 0.6× 257 0.4× 138 0.4× 45 0.2× 150 0.8× 86 1.3k
Snežana Tadić Serbia 19 589 0.8× 419 0.6× 158 0.5× 53 0.3× 70 0.4× 95 1.3k
Gerrit K. Janssens Belgium 24 1.4k 1.9× 673 1.0× 356 1.1× 32 0.2× 78 0.4× 112 2.0k

Countries citing papers authored by Luis Onieva

Since Specialization
Citations

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

Fields of papers citing papers by Luis Onieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Onieva

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Onieva. A scholar is included among the top collaborators of Luis Onieva 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 Luis Onieva. Luis Onieva 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.
Onieva, Luis, et al.. (2025). A methodology for incident detection in sectorized water distribution networks based on pressure and flow data. Computer-Aided Civil and Infrastructure Engineering. 40(20). 3013–3032.
2.
Muñuzuri, Jesús, et al.. (2024). Exploring the correlation between courier workload, service density and distance with the success of last-mile and first-mile reverse logistics. Central European Journal of Operations Research. 33(4). 1327–1341.
3.
Muñuzuri, Jesús, et al.. (2024). A predictive framework for last-mile delivery routes considering couriers’ behavior heterogeneity. Computers & Industrial Engineering. 198. 110665–110665.
4.
Onieva, Luis, et al.. (2023). A Literature Review on Machine Learning to Optimize Water Network Management Using Natural Language Processing. Lecture notes in civil engineering. 3–14.
6.
Muñuzuri, Jesús, et al.. (2022). Sustainable Development and Efficiency Analysis of the Major Urban Water Utilities in Spain. Water. 14(9). 1519–1519. 6 indexed citations
7.
Muñuzuri, Jesús, et al.. (2021). Trends and applications of machine learning in water supply networks management. Journal of Industrial Engineering and Management. 14(1). 45–45. 12 indexed citations
8.
Muñuzuri, Jesús, et al.. (2021). Scheduling consecutive days off: A case study of maritime pilots. Computers & Industrial Engineering. 155. 107192–107192. 9 indexed citations
9.
Cortés, Pablo, et al.. (2021). Estimation of a logistic regression model by a genetic algorithm to predict pipe failures in sewer networks. OR Spectrum. 43(3). 759–776. 17 indexed citations
10.
Escudero-Santana, Alejandro, Jesús Muñuzuri, Pablo Cortés, & Luis Onieva. (2020). The one container drayage problem with soft time windows. Research in Transportation Economics. 90. 100884–100884. 13 indexed citations
11.
Vidal-Barrero, F., et al.. (2020). Emerging Risks in Contact Center Sector: A Review. Studies in systems, decision and control. 765–773. 1 indexed citations
12.
Muñuzuri, Jesús, Elena Barbadilla-Martín, Alejandro Escudero-Santana, & Luis Onieva. (2017). Planning Navigation in Inland Waterways with Tidal Depth Restrictions. Journal of Navigation. 71(3). 547–564. 17 indexed citations
13.
Carrillo-Castrillo, Jesús A., Juan Carlos Rubio‐Romero, José Guadix Martín, & Luis Onieva. (2016). Identification of areas of intervention for public safety policies using multiple correspondence analysis. DYNA. 83(196). 31–38. 2 indexed citations
14.
Muñuzuri, Jesús, Luis Onieva, Pablo Cortés, & José Guadix Martín. (2016). Gestión pública de la logística urbana de mercancias: Una normativa, múltiples necesidades. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 21–28.
15.
Muñuzuri, Jesús, José Guadix Martín, Pablo Cortés, & Luis Onieva. (2016). Use of discrete choice to obtain urban freight evaluation data. European journal of transport and infrastructure research. 3 indexed citations
16.
Onieva, Luis, et al.. (2015). Selection and Implementation of a Set of Key Performance Indicators for Project Management. International Journal of Applied Engineering Research. 7 indexed citations
17.
Cortés, Pablo, Luis Onieva, & José Guadix Martín. (2009). Optimising and simulating the assembly line balancing problem in a motorcycle manufacturing company: a case study. International Journal of Production Research. 48(12). 3637–3656. 35 indexed citations
18.
Muñuzuri, Jesús, Luis Onieva, Ester Gutiérrez, & Pablo Cortés. (2009). Un enfoque cuantitativo para valorar el servicio eléctrico por parte de sus usuarios. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 83–93. 2 indexed citations
20.
Onieva, Luis, et al.. (1991). Planificación multinivel con limitaciones de capacidad. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 15(2). 211–229.

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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