Pedro M. Mateo

465 total citations
27 papers, 336 citations indexed

About

Pedro M. Mateo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Pedro M. Mateo has authored 27 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 5 papers in Management Science and Operations Research. Recurrent topics in Pedro M. Mateo's work include Advanced Multi-Objective Optimization Algorithms (6 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Evolutionary Algorithms and Applications (6 papers). Pedro M. Mateo is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (6 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Evolutionary Algorithms and Applications (6 papers). Pedro M. Mateo collaborates with scholars based in Spain and Mexico. Pedro M. Mateo's co-authors include Herminia I. Calvete, Carmen Galé, Fermín Mallor, Francisco Ballestı́n, Carlos A. Coello Coello, Pilar Gargallo, D. Orós, S. Ruiz, Cristina Paulés and Rafael Benito and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Renewable Energy.

In The Last Decade

Pedro M. Mateo

26 papers receiving 323 citations

Peers

Pedro M. Mateo

CSE

CTM

IME

MSOR

Shalini Arora India

Mohsen Babaei Iran

Mostafa Abouei Ardakan Iran

Merve Bodur Canada

Laura Galli Italy

Andreas Lundell Finland

H. Eivazy Iran

Oleksandr Romanko Canada

Monica Rani India

Jianqiang Cheng United States

Shalini Arora India

Pedro M. Mateo

244 ×2.4

CSE

99 ×1.1

CTM

64 ×1.0

IME

17 ×0.3

92 ×1.6

MSOR

Citations per year, relative to Pedro M. Mateo Pedro M. Mateo (= 1×) peers Shalini Arora

Countries citing papers authored by Pedro M. Mateo

Since Specialization

Citations

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

Fields of papers citing papers by Pedro M. Mateo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro M. Mateo. 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 Pedro M. Mateo. The network helps show where Pedro M. Mateo may publish in the future.

Co-authorship network of co-authors of Pedro M. Mateo

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro M. Mateo. A scholar is included among the top collaborators of Pedro M. Mateo 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 Pedro M. Mateo. Pedro M. Mateo 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

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.

López, F. Javier, Pedro M. Mateo, Ana C. Cebrián, et al.. (2023). A multistate model and its standalone tool to predict hospital and ICU occupancy by patients with COVID-19. Heliyon. 9(2). e13545–e13545. 1 indexed citations

Mallor, Fermín, et al.. (2021). A GRASP-based algorithm for solving the emergency room physician scheduling problem. Applied Soft Computing. 103. 107151–107151. 11 indexed citations

Ruiz, S., et al.. (2020). SARS-CoV-2 immunochromatographic IgM/IgG rapid test in pregnancy: A false friend?. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 58(2). 149–152. 7 indexed citations

Mateo, Pedro M., et al.. (2015). μG2-ELM: An upgraded implementation of μ G-ELM. Neurocomputing. 171. 1302–1312. 1 indexed citations

Coello, Carlos A. Coello, et al.. (2014). A comparative study of variation operators used for evolutionary multi-objective optimization. Information Sciences. 273. 33–48. 9 indexed citations

Mateo, Pedro M., et al.. (2013). A multi-objective micro genetic ELM algorithm. Neurocomputing. 111. 90–103. 17 indexed citations

Mateo, Pedro M., et al.. (2011). A mutation operator based on a Pareto ranking for multi-objective evolutionary algorithms. Journal of Heuristics. 18(1). 53–89. 16 indexed citations

Ballestı́n, Francisco, Fermín Mallor, & Pedro M. Mateo. (2011). Production scheduling in a market-driven foundry: a mathematical programming approach versus a project scheduling metaheuristic algorithm. Optimization and Engineering. 9 indexed citations

10.

Mateo, Pedro M., et al.. (2011). A bi-objective micro genetic Extreme Learning Machine. 3971. 68–75. 7 indexed citations

11.

Gargallo, Pilar, et al.. (2010). Variable selection in STAR models with neighbourhood effects using genetic algorithms. Journal of Forecasting. 29(8). 728–750. 7 indexed citations

12.

Mateo, Pedro M., et al.. (2008). Using Pareto Optimality for Defining the Mutation Operator Step Size. 1–20. 1 indexed citations

13.

Calvete, Herminia I., Carmen Galé, & Pedro M. Mateo. (2008). A genetic algorithm for solving linear fractional bilevel problems. Annals of Operations Research. 166(1). 39–56. 17 indexed citations

14.

Mallor, Fermín, Pedro M. Mateo, & José Antonio Moler. (2007). A comparison between several adjustment models to simulated teletraffic data. Journal of Statistical Planning and Inference. 137(12). 3939–3953. 2 indexed citations

15.

Calvete, Herminia I., Carmen Galé, & Pedro M. Mateo. (2007). A new approach for solving linear bilevel problems using genetic algorithms. European Journal of Operational Research. 188(1). 14–28. 115 indexed citations

16.

Mateo, Pedro M., et al.. (2003). Multiobjective evolutionary algorithms: Pareto rankings. Dialnet (Universidad de la Rioja). 27–36. 10 indexed citations

17.

Mateo, Pedro M., et al.. (2003). Representation and management of MOEA populations based on graphs. European Journal of Operational Research. 159(1). 52–65. 5 indexed citations

18.

Mallor, Fermín, et al.. (2002). Optimization with simulation and multiobjective analysis in industrial decision-making: A case study. European Journal of Operational Research. 140(2). 373–383. 20 indexed citations

19.

Calvete, Herminia I. & Pedro M. Mateo. (1998). Lexicographic optimisation in generalised network flow problems. Journal of the Operational Research Society. 49(5). 519–529. 9 indexed citations

20.

Calvete, Herminia I. & Pedro M. Mateo. (1995). An approach for the network flow problem with multiple objectives. Computers & Operations Research. 22(9). 971–983. 14 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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