D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mathematics D-index 57 Citations 12,683 151 World Ranking 489 National Ranking 261
Computer Science D-index 58 Citations 18,793 174 World Ranking 2345 National Ranking 1262

Overview

What is he best known for?

The fields of study Manuel Laguna is best known for:

  • Mathematical optimization
  • Genetic algorithm
  • Combinatorial optimization

His work blends Tabu search and Guided Local Search studies together. Manuel Laguna integrates many fields in his works, including Guided Local Search and Tabu search. Mathematical optimization is frequently linked to Heuristics in his study. His research on Artificial intelligence often connects related areas such as Pairwise comparison. His Pairwise comparison study frequently links to other fields, such as Artificial intelligence. Much of his study explores Programming language relationship to Process (computing). Process (computing) and Programming language are frequently intertwined in his study. He performs integrative study on Algorithm and Greedy algorithm. His Greedy algorithm study frequently links to other fields, such as Greedy randomized adaptive search procedure.

His most cited work include:

  • Tabu Search (2157 citations)
  • Principles of scatter search (306 citations)
  • GRASP and Path Relinking for 2-Layer Straight Line Crossing Minimization (289 citations)

What are the main themes of his work throughout his whole career to date

Manuel Laguna applies the principles of Set (abstract data type) and Path (computing) in his work under Programming language. The study of Set (abstract data type) is intertwined with the study of Programming language in a number of ways. He undertakes multidisciplinary studies into Mathematical optimization and Metaheuristic in his work. By researching both Tabu search and Guided Local Search, he produces research that crosses academic boundaries. In his works, he conducts interdisciplinary research on Artificial intelligence and Machine learning. Manuel Laguna applies his multidisciplinary studies on Machine learning and Artificial intelligence in his research. Algorithm and Tabu search are commonly linked in his work. He integrates Operations research and Management science in his research. His work often combines Management science and Operations research studies.

Manuel Laguna most often published in these fields:

  • Mathematical optimization (68.09%)
  • Tabu search (48.94%)
  • Artificial intelligence (46.81%)

What were the highlights of his more recent work (between 2015-2020)?

  • Operations management (75.00%)
  • Operating system (50.00%)
  • Operations research (50.00%)

In recent works Manuel Laguna was focusing on the following fields of study:

Borrowing concepts from Operations research, Manuel Laguna weaves in ideas under Operations management. Manuel Laguna merges many fields, such as Operations research and Systems engineering, in his writings. In his study, he carries out multidisciplinary Systems engineering and Information technology research. He integrates Information technology with Project management in his research. He combines Project management and Purchasing in his research. He incorporates Purchasing and Operations management in his research. Many of his studies on Operating system apply to Heuristics as well. Heuristics and Operating system are frequently intertwined in his study. Tabu search and Artificial intelligence are frequently intertwined in his study.

Between 2015 and 2020, his most popular works were:

  • Vehicle routing for the urgent delivery of face shields during the COVID-19 pandemic (21 citations)
  • Tabu Search (11 citations)
  • A bi-objective solution approach to a real-world waste collection problem (10 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Tabu Search

Fred Glover;Manuel Laguna.
(1997)

5936 Citations

Fundamentals of Scatter Search and Path Relinking

Fred Glover;Manuel Laguna;Rafael Martí.
Control and Cybernetics (2000)

1155 Citations

Scatter Search: Methodology and Implementations in C

Manuel Laguna;Rafael Marti.
(2011)

947 Citations

Business Process Modeling, Simulation and Design

Manuel Laguna;Johan Marklund.
(2004)

545 Citations

Fine-Tuning of Algorithms Using Fractional Experimental Designs and Local Search

Belarmino Adenso-Diaz;Manuel Laguna.
Operations Research (2006)

518 Citations

Genetic algorithms and tabu search: hybrids for optimization

Fred Glover;James P. Kelly;Manuel Laguna.
Computers & Operations Research (1995)

505 Citations

Principles of scatter search

Rafael Martí;Manuel Laguna;Fred W. Glover.
European Journal of Operational Research (2006)

500 Citations

Grasp and Path Relinking for 2-Layer Straight Line Crossing Minimization

Manuel Laguna;Rafael Marti.
Informs Journal on Computing (1999)

445 Citations

Practical introduction to simulation optimization

Jay April;Fred Glover;James P. Kelly;Manuel Laguna.
winter simulation conference (2003)

434 Citations

Simulation-based optimization: practical introduction to simulation optimization

Jay April;Fred Glover;James P. Kelly;Manuel Laguna.
winter simulation conference (2003)

375 Citations

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