World's Best Scientists 2026 revealed!
Luis Martínez

Luis Martínez

Award Badge
Computer Science
Spain
2026

D-Index & Metrics

Computer Science

D-Index
76
Citations
29203
World Ranking
1321
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Computer Science in Spain Leader Award
  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Luis Martínez is affiliated with the University of Jaén in Spain. Their research spans multiple areas within computer science and decision sciences, reflecting extensive contributions to both theoretical and applied domains.

The main fields of study for Luis Martínez are:

  • Computer Science
  • Decision Sciences

The subfields where they have published include:

  • Management Science and Operations Research
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Information Systems
  • Control and Systems Engineering

Research topics covered in their work include:

  • Multi-Criteria Decision Making
  • Rough Sets and Fuzzy Logic
  • Cognitive Science and Mapping
  • Bayesian Modeling and Causal Inference
  • Optimization and Mathematical Programming
  • Fuzzy Systems and Optimization
  • Fuzzy Logic and Control Systems

Luis Martínez has published extensively in noted venues, with frequent publications in:

  • Information Sciences
  • Expert Systems with Applications
  • Computers & Industrial Engineering
  • Applied Soft Computing
  • Knowledge-Based Systems

Selected recent papers include:

  • "Multiple-criteria decision-making sorting methods: A survey", 2021, Expert Systems with Applications
  • "Nutraceutical potential of Asparagopsis taxiformis (Delile) Trevisan extracts and assessment of a downstream purification strategy", 2022, Institutional Repository University of Extremadura (University of Extremadura)
  • "Expertise-based bid evaluation for construction-contractor selection with generalized comparative linguistic ELECTRE III", 2021, Automation in Construction
  • "Expertise-Structure and Risk-Appetite-Integrated Two-Tiered Collective Opinion Generation Framework for Large-Scale Group Decision Making", 2022, IEEE Transactions on Fuzzy Systems
  • "Large-Scale Group Decision Making: A Systematic Review and a Critical Analysis", 2022, IEEE/CAA Journal of Automatica Sinica

Their frequent co-authors are:

  • Rosa M. Rodríguez
  • Witold Pedrycz
  • Diego García-Zamora
  • Álvaro Labella
  • Zhen-Song Chen

Luis Martínez has also contributed to book publications with publishers such as Springer Nature and Springer Science+Business Media. Notable titles include:

  • "Computational Intelligence for Business Analytics", 2021
  • "Recent Advances in Electrical Engineering, Electronics and Energy", 2022

Best Publications

  • A 2-tuple fuzzy linguistic representation model for computing with words

    F. Herrera;L. Martinez

  • Hesitant Fuzzy Linguistic Term Sets for Decision Making

    R. M. Rodriguez;L. Martinez;F. Herrera

  • A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making

    F. Herrera;L. Martinez

  • A fusion approach for managing multi-granularity linguistic term sets in decision making

    F. Herrera;E. Herrera-Viedma;Luis Martínez

  • Managing non-homogeneous information in group decision making

    F. Herrera;L. Martı́nez;P.J. Sánchez

  • A Consensus Support System Model for Group Decision-Making Problems With Multigranular Linguistic Preference Relations

    E. Herrera-Viedma;L. Martinez;F. Mata;F. Chiclana

  • A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets

    F. Herrera;E. Herrera-Viedma;L. Martinez

  • A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets

    Rosa M. RodríGuez;Luis MartıNez;Francisco Herrera

  • An approach for combining linguistic and numerical information based on the 2-tuple fuzzy linguistic representation model in decision-making

    F. Herrera;L. Martinez

  • An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges

    L. MartıNez;F. Herrera

  • A Consensus Model to Detect and Manage Noncooperative Behaviors in Large-Scale Group Decision Making

    Ivan Palomares;Luis Martinez;Francisco Herrera

  • Hesitant Fuzzy Sets: State of the Art and Future Directions

    R. M. Rodríguez;L. Martínez;V. Torra;Z. S. Xu

  • Combining numerical and linguistic information in group decision making

    M. Delgado;F. Herrera;E. Herrera-Viedma;L. Martínez

  • An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context

    F. Mata;L. Martinez;E. Herrera-Viedma

  • Personalized individual semantics in computing with words for supporting linguistic group decision making. An application on consensus reaching

    Cong-Cong Li;Yucheng Dong;Francisco Herrera;Enrique Herrera-Viedma

  • The 2-tuple linguistic computational model. Advantages of its linguistic description, accuracy and consistency.

    F. Herrera;L. Martinez

  • Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making

    Zhen Zhang;Chonghui Guo;Luis Martinez

  • Computing with Words in Decision support Systems: An overview on Models and Applications

    Luis Martínez;Da Ruan;Francisco Herrera

  • A mobile 3D-GIS hybrid recommender system for tourism

    José M. Noguera;Manuel J. Barranco;Rafael J. Segura;Luis MartíNez

  • Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study

    Iván Palomares;Francisco J. Estrella;Luis Martínez;Francisco Herrera;Francisco Herrera

Frequent Co-Authors

Rosa M. Rodríguez
Rosa M. Rodríguez University of Jaén
Francisco Herrera
Francisco Herrera University of Granada
Enrique Herrera-Viedma
Enrique Herrera-Viedma University of Granada
Joshua D. Nosanchuk
Joshua D. Nosanchuk Albert Einstein College of Medicine
Arturo Casadevall
Arturo Casadevall Johns Hopkins University
Da Ruan
Da Ruan Ghent University
Chris D. Nugent
Chris D. Nugent University of Ulster
Zhen-Song Chen
Zhen-Song Chen Wuhan University
Yucheng Dong
Yucheng Dong Sichuan University
Ying-Ming Wang
Ying-Ming Wang Fuzhou University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Expanding your career opportunities in Computer Science can be achieved by exploring related online degrees in technical fields. Many universities in the USA now offer flexible online programs designed to fit around your schedule and budget.

For those interested in environmental sustainability, consider enrolling in environmental engineering schools online, which combine technology with ecological problem-solving. Aspiring engineers can also find numerous options among the cheapest online master's mechanical engineering programs, making advanced credentials more accessible and affordable.

Students with a passion for advanced math and scientific theory might explore an online theoretical physics degree, which can open doors to research, teaching, or technology-driven industries. Additionally, the growing field of big data creates high demand; earning a data science degree equips graduates to analyze data and drive decisions in many sectors.

Pairing a Computer Science background with these related online degrees can enhance job prospects, broaden expertise, and boost long-term earning potential.

Best Scientists Citing Luis Martínez

Trending Scientists