World's Best Scientists 2026 revealed!
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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
61
Citations
10575
World Ranking
3136
National Ranking
39

Mathematics

D-Index
58
Citations
8577
World Ranking
656
National Ranking
11

Research.com Recognitions

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

Overview

Angel A. Juan is affiliated with the Universitat Politècnica de València in Spain. Their research spans various fields within engineering, with a strong focus on industrial and manufacturing engineering, automotive engineering, building and construction, management science and operations research, as well as electrical and electronic engineering.

The main fields of study include:

  • Engineering

Their more specialized subfields are:

  • Industrial and Manufacturing Engineering
  • Automotive Engineering
  • Building and Construction
  • Management Science and Operations Research
  • Electrical and Electronic Engineering

Angel A. Juan's principal topics of work cover several areas:

  • Vehicle Routing Optimization Methods
  • Transportation and Mobility Innovations
  • Advanced Manufacturing and Logistics Optimization
  • Urban and Freight Transport Logistics
  • Scheduling and Optimization Algorithms
  • Facility Location and Emergency Management
  • Optimization and Packing Problems

The scientist has contributed to multiple research papers throughout their career. Some of the recent papers include:

  • Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review, 2020, published in Simulation Modelling Practice and Theory
  • Simulation-based education involving online and on-campus models in different European universities, 2020, published in International Journal of Educational Technology in Higher Education
  • Binary Whale Optimization Algorithm for Dimensionality Reduction, 2020, published in Mathematics
  • Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications, 2021, published in Sustainability
  • Artificial Intelligence in Logistics Optimization with Sustainable Criteria: A Review, 2024, published in Sustainability

The most frequent publication venues for Angel A. Juan are:

  • Mathematics
  • Algorithms
  • Transportation research procedia
  • 2021 Winter Simulation Conference (WSC)
  • International Transactions in Operational Research

Frequent co-authors collaborating with Angel A. Juan include:

  • Javier Panadero
  • Laura Calvet
  • Majsa Ammouriova
  • Leandro do C. Martins
  • Xabier A. Martin

Best Publications

  • A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems

    Angel A. Juan;Javier Faulin;Scott E. Grasman;Markus Rabe

  • Rich Vehicle Routing Problem: Survey

    Jose Caceres-Cruz;Pol Arias;Daniel Guimarans;Daniel Riera

  • Educational Data Mining and Learning Analytics: differences, similarities, and time evolution

    Laura Calvet Liñán;Ángel Alejandro Juan Pérez

  • Electric Vehicles in Logistics and Transportation: A Survey on Emerging Environmental, Strategic, and Operational Challenges

    Angel Alejandro Juan;Carlos Alberto Mendez;Javier Faulin;Jesica De Armas

  • Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs

    Laura Calvet;Jésica de Armas;David Masip;Angel A. Juan

  • Simulation Methods for Reliability and Availability of Complex Systems

    Javier Faulin;Angel A. Juan;Sebastin Martorell;Jose Emmanuel Ramirez-Marquez

  • Horizontal cooperation in road transportation: a case illustrating savings in distances and greenhouse gas emissions

    Elena Pérez-Bernabeu;Angel A. Juan;Javier Faulin;Barry B. Barrios

  • Using safety stocks and simulation to solve the vehicle routing problem with stochastic demands

    A. Juan;J. Faulin;S. Grasman;D. Riera

  • On the use of Monte Carlo simulation, cache and splitting techniques to improve the Clarke and Wright savings heuristics

    Angel A. Juan;Javier Faulin;Josep Jorba;Daniel Riera

  • The SR-GCWS hybrid algorithm for solving the capacitated vehicle routing problem

    Angel A. Juan;Javier Faulin;Rubén Ruiz;Barry Barrios

  • A biased-randomized simheuristic for the distributed assembly permutation flowshop problem with stochastic processing times

    Eliana Maria Gonzalez-Neira;Eliana Maria Gonzalez-Neira;Daniele Ferone;Sara Hatami;Angel A. Juan

  • Simulation-Optimization Methods for Designing and Assessing Resilient Supply Chain Networks under Uncertainty Scenarios: A Review.

    Rafael David Tordecilla;Rafael David Tordecilla;Angel A. Juan;Jairo R. Montoya-Torres;Carlos L. Quintero-Araujo

  • A simheuristic algorithm for the single-period stochastic inventory routing problem with stock-outs

    Angel A. Juan;Scott E. Grasman;Jose Caceres-Cruz;Tolga Bektaş

  • Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic

    Jésica de Armas;Angel A. Juan;Joan Manuel Marquès;João Pedro Pedroso

  • Biased randomization of heuristics using skewed probability distributions: A survey and some applications

    Alex Grasas;Angel A. Juan;Javier Faulin;Jesica de Armas;Jesica de Armas

  • A simheuristic algorithm for solving the permutation flow shop problem with stochastic processing times

    Angel A. Juan;Barry B. Barrios;Eva Vallada;Daniel Riera

  • Simulation-based education involving online and on-campus models in different European universities

    Neila Campos;Maria Nogal;Cristina Caliz;Angel A. Juan

  • A multi-agent based cooperative approach to scheduling and routing

    Simon Martin;Djamila Ouelhadj;Patrick Beullens;Ender Ozcan

  • Using horizontal cooperation concepts in integrated routing and facility-location decisions

    Carlos L. Quintero-Araujo;Carlos L. Quintero-Araujo;Aljoscha Gruler;Angel A. Juan;Javier Faulin

  • Agri-food supply chains with stochastic demands: A multi-period inventory routing problem with perishable products

    Bhakti Stephan Onggo;Javier Panadero;Canan Gunes Corlu;Angel A. Juan

  • Binary Whale Optimization Algorithm for Dimensionality Reduction

    Abdelazim G. Hussien;Diego Oliva;Essam H. Houssein;Angel A. Juan

  • Routing fleets with multiple driving ranges: Is it possible to use greener fleet configurations?

    Angel A. Juan;Jarrod Goentzel;Tolga Bektaş

  • Using biased randomization for solving the two-dimensional loading vehicle routing problem with heterogeneous fleet

    Oscar Dominguez;Angel A. Juan;Barry Barrios;Javier Faulin

Frequent Co-Authors

Javier Faulin
Javier Faulin University of Navarra
Fatos Xhafa
Fatos Xhafa Universitat Politècnica de Catalunya
Rubén Ruiz
Rubén Ruiz Universitat Politècnica de València
Tolga Bektaş
Tolga Bektaş University of Liverpool
Christos Verikoukis
Christos Verikoukis University of Patras
Thomas Stützle
Thomas Stützle Université Libre de Bruxelles
Christian Blum
Christian Blum Spanish National Research Council
Jose M. Framinan
Jose M. Framinan University of Seville
Gleb Beliakov
Gleb Beliakov Deakin University
Giovanni Emanuele Corazza
Giovanni Emanuele Corazza University of Bologna

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