Julián Molina

2.4k total citations
60 papers, 1.7k citations indexed

About

Julián Molina is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Julián Molina has authored 60 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Theory and Mathematics, 14 papers in Artificial Intelligence and 12 papers in Control and Systems Engineering. Recurrent topics in Julián Molina's work include Advanced Multi-Objective Optimization Algorithms (22 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Vehicle Routing Optimization Methods (11 papers). Julián Molina is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (22 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Vehicle Routing Optimization Methods (11 papers). Julián Molina collaborates with scholars based in Spain, Mexico and United States. Julián Molina's co-authors include Rafael Caballero, Alfredo G. Hernández‐Díaz, Carlos A. Coello Coello, Kaisa Miettinen, Pekka Korhonen, Lothar Thiele, Trinidad Gómez, Luis V. Santana‐Quintero, Flor Guerrero and Manuel Laguna and has published in prestigious journals such as SHILAP Revista de lepidopterología, Management Science and European Journal of Operational Research.

In The Last Decade

Julián Molina

54 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julián Molina Spain	19	742	606	421	343	233	60	1.7k
Margaret M. Wiecek United States	23	1.1k 1.5×	195 0.3×	336 0.8×	559 1.6×	540 2.3×	104	2.0k
Alper Murat United States	19	134 0.2×	435 0.7×	276 0.7×	178 0.5×	137 0.6×	46	1.5k
Hiroaki Ishii Japan	25	197 0.3×	314 0.5×	643 1.5×	947 2.8×	665 2.9×	197	2.3k
Patrick Meyer France	15	207 0.3×	391 0.6×	243 0.6×	539 1.6×	168 0.7×	67	1.4k
Abu S. M. Masud United States	11	465 0.6×	237 0.4×	293 0.7×	789 2.3×	830 3.6×	25	2.1k
Thomas Hanne Switzerland	19	275 0.4×	365 0.6×	212 0.5×	373 1.1×	195 0.8×	134	1.4k
Goran Ćirović Serbia	14	221 0.3×	188 0.3×	227 0.5×	1.1k 3.1×	332 1.4×	40	1.9k
Marc Pirlot Belgium	21	438 0.6×	445 0.7×	290 0.7×	747 2.2×	190 0.8×	96	1.7k
Seyed Reza Hejazi Iran	28	122 0.2×	239 0.4×	637 1.5×	562 1.6×	238 1.0×	64	2.2k
Shaojian Qu China	23	364 0.5×	258 0.4×	131 0.3×	523 1.5×	262 1.1×	127	1.7k

Countries citing papers authored by Julián Molina

Since Specialization

Citations

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

Fields of papers citing papers by Julián Molina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julián Molina

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

All Works

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20 of 20 papers shown

Molina, Julián, et al.. (2024). Analysis of the dynamics of the land use changes in the Mediterranean region of southern Spain and its relationship with water availability. SHILAP Revista de lepidopterología. 11(2).

Molina, Julián, et al.. (2023). Vulnerability to COVID-19: Cluster analysis of census tracts in Malaga, Spain. Journal of Urban Affairs. 1–21. 2 indexed citations

Molina, Julián. (2023). The First British Crime Survey. Bristol Research (University of Bristol). 3 indexed citations

Molina, Julián, et al.. (2023). Learning About the Incidence and Lethality of COVID-19 in Vulnerable Neighborhoods: The Case of Malaga (Spain). International Regional Science Review. 46(5-6). 701–725.

Molina, Julián, et al.. (2022). Tempo-Spatial Modelling of the Spread of COVID-19 in Urban Spaces. International Journal of Environmental Research and Public Health. 19(15). 9764–9764. 4 indexed citations

López‐Sánchez, Ana D., Julián Molina, Manuel Laguna, & Alfredo G. Hernández‐Díaz. (2020). Optimizing a bi‐objective vehicle routing problem that appears in industrial enterprises. Expert Systems. 38(1). 1 indexed citations

Molina, Julián, et al.. (2019). A bi-objective study of the minimum latency problem. Journal of Heuristics. 25(3). 431–454. 3 indexed citations

Bárcena‐Martín, Elena, Julián Molina, & José Damián Ruíz Sinoga. (2018). Issues and challenges in defining a heat wave: A Mediterranean case study. International Journal of Climatology. 39(1). 331–342. 11 indexed citations

Gómez, Trinidad, et al.. (2013). Evolución de un modelo de programación por metas en el contexto forestal cubano. Dialnet (Universidad de la Rioja). 29(2). 130–139. 1 indexed citations

10.

Martínez-Salazar, Iris, Julián Molina, Francisco Ángel-Bello, Trinidad Gómez, & Rafael Caballero. (2013). Solving a bi-objective Transportation Location Routing Problem by metaheuristic algorithms. European Journal of Operational Research. 234(1). 25–36. 91 indexed citations

11.

Gómez, Trinidad, et al.. (2010). Planificación Forestal con adyacencias bajo criterios múltiples.. 41. 1 indexed citations

12.

Thiele, Lothar, Kaisa Miettinen, Pekka Korhonen, & Julián Molina. (2009). A Preference-based Evolutionary Algorithm for Multiobjective Optimization. Evolutionary Computation. 13(3). 411–436. 17 indexed citations

13.

Thiele, Lothar, Kaisa Miettinen, Pekka Korhonen, & Julián Molina. (2009). A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization. Evolutionary Computation. 17(3). 411–436. 273 indexed citations

14.

Molina, Julián, et al.. (2008). g-dominance: Reference point based dominance for multiobjective metaheuristics. European Journal of Operational Research. 197(2). 685–692. 197 indexed citations

15.

Molina, Julián. (2007). La prueba de los ingenios. Dialnet (Universidad de la Rioja). 41–166. 3 indexed citations

16.

Hernández‐Díaz, Alfredo G., Luis V. Santana‐Quintero, Carlos A. Coello Coello, Rafael Caballero, & Julián Molina. (2006). A new proposal for multi-objective optimization using differential evolution and rough sets theory. 675–682. 28 indexed citations

17.

Díaz, Beatriz Rodríguez, et al.. (2005). Planificación de rutas turisticas bajo un enfoque multicriterio. SHILAP Revista de lepidopterología.

18.

Fernández, Rafael Caballero, et al.. (2003). Localización de incineradoras de materiales específicos de riesgo en Andalucía mediante un enfoque multicriterio. 115. 2 indexed citations

19.

Caballero, Rafael, Trinidad Gómez, & Julián Molina. (2003). Modelización de problemas de ordenación forestal con múlti- ples criterios. Una aplicación a la economía forestal cubana.. Studies of Applied Economics. 21(2). 339–360. 2 indexed citations

20.

Caballero, Rafael, Mariano Luque, Julián Molina, & Francisco Ruiz. (2002). PROMOIN: AN INTERACTIVE SYSTEM FOR MULTIOBJECTIVE PROGRAMMING. International Journal of Information Technology & Decision Making. 1(4). 635–656. 20 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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