Daniel Guimarans

893 total citations
31 papers, 614 citations indexed

About

Daniel Guimarans is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Management Science and Operations Research. According to data from OpenAlex, Daniel Guimarans has authored 31 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Industrial and Manufacturing Engineering, 9 papers in Automotive Engineering and 7 papers in Management Science and Operations Research. Recurrent topics in Daniel Guimarans's work include Vehicle Routing Optimization Methods (22 papers), Transportation and Mobility Innovations (9 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Daniel Guimarans is often cited by papers focused on Vehicle Routing Optimization Methods (22 papers), Transportation and Mobility Innovations (9 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Daniel Guimarans collaborates with scholars based in Spain, Australia and Netherlands. Daniel Guimarans's co-authors include Ángel A. Juan, Daniel Riera, José Cáceres-Cruz, Óscar Fernando Castellanos Domínguez, Óscar Domínguez, I. Nuez, Javier Panadero, Barry B. Barrios, Maurizio Tomasella and Cemalettin Öztürk and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and ACM Computing Surveys.

In The Last Decade

Daniel Guimarans

30 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Guimarans Spain 12 490 178 138 72 67 31 614
Pedro Munari Brazil 19 661 1.3× 240 1.3× 139 1.0× 40 0.6× 60 0.9× 54 882
Duygu Taş Türkiye 9 599 1.2× 362 2.0× 193 1.4× 85 1.2× 26 0.4× 15 744
Ahmad I. Jarrah United States 14 501 1.0× 142 0.8× 115 0.8× 197 2.7× 104 1.6× 21 644
Niklas Kohl Denmark 7 906 1.8× 399 2.2× 186 1.3× 194 2.7× 115 1.7× 8 1.1k
Ahmad Hemmati Norway 10 504 1.0× 181 1.0× 144 1.0× 36 0.5× 159 2.4× 24 648
Dilek Tüzün Aksu Türkiye 9 440 0.9× 132 0.7× 138 1.0× 42 0.6× 11 0.2× 17 633
Ricardo Saraiva de Camargo Brazil 17 820 1.7× 143 0.8× 266 1.9× 63 0.9× 25 0.4× 31 979
Salvatore Ricciardelli Italy 14 677 1.4× 148 0.8× 118 0.9× 329 4.6× 66 1.0× 20 939
Jaouad Boukachour France 14 343 0.7× 79 0.4× 103 0.7× 22 0.3× 41 0.6× 61 516
Darko Skorin‐Kapov United States 11 704 1.4× 90 0.5× 216 1.6× 81 1.1× 27 0.4× 26 892

Countries citing papers authored by Daniel Guimarans

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Guimarans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Guimarans

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

All Works

20 of 20 papers shown
1.
Guimarans, Daniel, et al.. (2022). A stochastic approach for planning airport ground support resources. International Transactions in Operational Research. 29(6). 3316–3345. 18 indexed citations
2.
Tomasella, Maurizio, et al.. (2022). Constraint-based robust planning and scheduling of airport apron operations through simheuristics. Annals of Operations Research. 320(2). 795–830. 17 indexed citations
3.
Tomasella, Maurizio, et al.. (2022). Rotating Workforce Scheduling in Airport Security. SSRN Electronic Journal. 1 indexed citations
4.
Tomasella, Maurizio, et al.. (2020). A Simheuristic Approach for Robust Scheduling of Airport Turnaround Teams. 1336–1347. 12 indexed citations
5.
Tomasella, Maurizio, et al.. (2019). Sttar: A Simheuristics-Enabled Scheme for Multi-Stakeholder Coordination Of Aircraft Turnaround Operations. Edinburgh Research Explorer. 488–499. 11 indexed citations
6.
Guimarans, Daniel, et al.. (2019). An Improved Method for Scheduling Aircraft Ground Handling Operations From a Global Perspective. Asia Pacific Journal of Operational Research. 36(4). 1950020–1950020. 26 indexed citations
7.
Guimarans, Daniel, et al.. (2018). A Review of Sustainability in Aviation. Elsevier eBooks. 91–121. 7 indexed citations
8.
Guimarans, Daniel, et al.. (2018). Using simulation for evaluating ground handling solutions reliability under stochastic conditions. Data Archiving and Networked Services (DANS). 1 indexed citations
9.
Juan, Ángel A., et al.. (2017). Using simulation to estimate critical paths and survival functions in aircraft turnaround processes. 2017 Winter Simulation Conference (WSC). 5 indexed citations
10.
Guimarans, Daniel, et al.. (2016). A multi-start simheuristic for the stochastic two-dimensional vehicle routing problem. 2016 Winter Simulation Conference (WSC). 21. 2326–2334. 7 indexed citations
11.
Guimarans, Daniel, et al.. (2016). A bi-objective approach for scheduling ground-handling vehicles in airports. Computers & Operations Research. 71. 34–53. 58 indexed citations
12.
Domínguez, Óscar, Daniel Guimarans, Ángel A. Juan, & I. Nuez. (2016). A Biased-Randomised Large Neighbourhood Search for the two-dimensional Vehicle Routing Problem with Backhauls. European Journal of Operational Research. 255(2). 442–462. 59 indexed citations
13.
Guimarans, Daniel, et al.. (2015). A BRILS metaheuristic for non-smooth flow-shop problems with failure-risk costs. Expert Systems with Applications. 44. 177–186. 32 indexed citations
14.
Cáceres-Cruz, José, et al.. (2014). Rich Vehicle Routing Problem. ACM Computing Surveys. 47(2). 1–28. 176 indexed citations
15.
Juan, Ángel A., et al.. (2014). Combining biased randomization with iterated local search for solving the multidepot vehicle routing problem. International Transactions in Operational Research. 22(4). 647–667. 48 indexed citations
16.
Guimarans, Daniel, et al.. (2011). Combining probabilistic algorithms, Constraint Programming and Lagrangian Relaxation to solve the Vehicle Routing Problem. Annals of Mathematics and Artificial Intelligence. 62(3-4). 299–315. 13 indexed citations
17.
Guimarans, Daniel, et al.. (2011). Solving Vehicle Routing Problems Using Constraint Programming and Lagrangean Relaxation in a Metaheuristics Framework. International Journal of Information Systems and Supply Chain Management. 4(2). 61–81. 4 indexed citations
18.
Guimarans, Daniel, et al.. (2010). A variable neighbourhood search combining constraint programming and Lagrangean relaxation for solving routing problems. Summer Computer Simulation Conference. 379–386. 1 indexed citations
19.
Riera, Daniel, et al.. (2009). A constraint programming-based library for the vehicle routing problem. Annual Simulation Symposium. 1 indexed citations
20.
Guimarans, Daniel, et al.. (2006). A simulation based decision tool to coordinate emergency services in a road accident. Summer Computer Simulation Conference. 110–115. 3 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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