Leandro do C. Martins

448 total citations
19 papers, 288 citations indexed

About

Leandro do C. Martins is a scholar working on Industrial and Manufacturing Engineering, Building and Construction and Automotive Engineering. According to data from OpenAlex, Leandro do C. Martins has authored 19 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Industrial and Manufacturing Engineering, 9 papers in Building and Construction and 6 papers in Automotive Engineering. Recurrent topics in Leandro do C. Martins's work include Vehicle Routing Optimization Methods (13 papers), Transportation and Mobility Innovations (6 papers) and Urban and Freight Transport Logistics (6 papers). Leandro do C. Martins is often cited by papers focused on Vehicle Routing Optimization Methods (13 papers), Transportation and Mobility Innovations (6 papers) and Urban and Freight Transport Logistics (6 papers). Leandro do C. Martins collaborates with scholars based in Spain, Colombia and Italy. Leandro do C. Martins's co-authors include Ángel A. Juan, Patrick Hirsch, Rafael D. Tordecilla, Christopher Bayliss, Rocío de la Torre, Canan G. Corlu, Mohamed Amine Masmoudi, Javier Panadero, Javier Faulín and Daniele Tarchi and has published in prestigious journals such as IEEE Access, Energies and Computers & Industrial Engineering.

In The Last Decade

Leandro do C. Martins

19 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leandro do C. Martins Spain 11 129 118 106 52 40 19 288
Ulrike Ritzinger Austria 6 248 1.9× 215 1.8× 110 1.0× 33 0.6× 81 2.0× 9 359
Yun Hui Lin Singapore 12 93 0.7× 156 1.3× 102 1.0× 38 0.7× 120 3.0× 29 341
Jouhaina Chaouachi Tunisia 9 177 1.4× 137 1.2× 154 1.5× 27 0.5× 126 3.1× 18 344
Xinan Yang United Kingdom 9 180 1.4× 147 1.2× 134 1.3× 22 0.4× 35 0.9× 21 317
Vahid Mahmoodian United States 8 226 1.8× 110 0.9× 56 0.5× 86 1.7× 35 0.9× 18 394
Matthias Prandtstetter Austria 9 234 1.8× 88 0.7× 60 0.6× 22 0.4× 54 1.4× 24 345
Panca Jodiawan Taiwan 7 287 2.2× 170 1.4× 175 1.7× 41 0.8× 23 0.6× 24 398
Hualing Bi China 11 121 0.9× 52 0.4× 56 0.5× 18 0.3× 28 0.7× 30 313
Sébastien Martin United States 8 64 0.5× 197 1.7× 94 0.9× 71 1.4× 139 3.5× 19 357
Timo Gschwind Germany 11 305 2.4× 181 1.5× 137 1.3× 15 0.3× 35 0.9× 24 383

Countries citing papers authored by Leandro do C. Martins

Since Specialization
Citations

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

Fields of papers citing papers by Leandro do C. Martins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leandro do C. Martins. 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 Leandro do C. Martins. The network helps show where Leandro do C. Martins may publish in the future.

Co-authorship network of co-authors of Leandro do C. Martins

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

All Works

19 of 19 papers shown
1.
Tordecilla, Rafael D., et al.. (2021). Fuzzy Simheuristics for Optimizing Transportation Systems: Dealing with Stochastic and Fuzzy Uncertainty. Applied Sciences. 11(17). 7950–7950. 12 indexed citations
2.
Martins, Leandro do C., et al.. (2021). Agile optimization for a real‐time facility location problem in Internet of Vehicles networks. Networks. 79(4). 501–514. 13 indexed citations
3.
Martins, Leandro do C., Eliana María González-Neira, Sara Hatami, Ángel A. Juan, & Jairo R. Montoya‐Torres. (2021). Combining production and distribution in supply chains: The hybrid flow-shop vehicle routing problem. Computers & Industrial Engineering. 159. 107486–107486. 21 indexed citations
4.
Martins, Leandro do C., et al.. (2021). Electric Vehicle Routing, Arc Routing, and Team Orienteering Problems in Sustainable Transportation. Energies. 14(16). 5131–5131. 28 indexed citations
5.
Martins, Leandro do C., et al.. (2021). A Real-Time Energy-Saving Mechanism in Internet of Vehicles Systems. IEEE Access. 9. 157842–157858. 12 indexed citations
6.
Tordecilla, Rafael D., et al.. (2021). An Agile and Reactive Biased-Randomized Heuristic for an Agri-Food Rich Vehicle Routing Problem. Transportation research procedia. 58. 385–392. 2 indexed citations
7.
8.
Martins, Leandro do C., et al.. (2021). Supervised Machine Learning Algorithms for Measuring and Promoting Sustainable Transportation and Green Logistics. Transportation research procedia. 58. 455–462. 6 indexed citations
9.
Martins, Leandro do C., et al.. (2021). Using Data Analytics & Machine Learning to Design Business Interruption Insurance Products for Rail Freight Operators. Transportation research procedia. 58. 393–400. 3 indexed citations
10.
Tordecilla, Rafael D., et al.. (2021). Edge Computing and IoT Analytics for Agile Optimization in Intelligent Transportation Systems. Energies. 14(19). 6309–6309. 27 indexed citations
11.
Tordecilla, Rafael D., et al.. (2020). A biased-randomized iterated local search for the vehicle routing problem with optional backhauls. Top. 29(2). 387–416. 11 indexed citations
12.
Martins, Leandro do C., et al.. (2020). A Savings-Based Heuristic for Solving the Omnichannel Vehicle Routing Problem with Pick-up and Delivery. Transportation research procedia. 47. 83–90. 10 indexed citations
13.
Martins, Leandro do C., et al.. (2020). Using Biased-Randomized Algorithms for the Multi-Period Product Display Problem with Dynamic Attractiveness. Algorithms. 13(2). 34–34. 2 indexed citations
14.
Bayliss, Christopher, Leandro do C. Martins, & Ángel A. Juan. (2020). A two-phase local search with a discrete-event heuristic for the omnichannel vehicle routing problem. Computers & Industrial Engineering. 148. 106695–106695. 24 indexed citations
15.
Martins, Leandro do C., Patrick Hirsch, & Ángel A. Juan. (2020). Agile optimization of a two‐echelon vehicle routing problem with pickup and delivery. International Transactions in Operational Research. 28(1). 201–221. 57 indexed citations
16.
Martins, Leandro do C., Rocío de la Torre, Canan G. Corlu, Ángel A. Juan, & Mohamed Amine Masmoudi. (2020). Optimizing ride-sharing operations in smart sustainable cities: Challenges and the need for agile algorithms. Computers & Industrial Engineering. 153. 107080–107080. 49 indexed citations
17.
Martins, Leandro do C., et al.. (2020). A Simheuristic Algorithm for Solving the Stochastic Omnichannel Vehicle Routing Problem with Pick-up and Delivery. Algorithms. 13(9). 237–237. 7 indexed citations
18.
Bayliss, Christopher, et al.. (2020). A Simheuristic-Learnheuristic Algorithm for the Stochastic Team Orienteering Problem with Dynamic Rewards. 1254–1264. 1 indexed citations
19.
Martins, Leandro do C., et al.. (2016). A Genetic Algorithm for the mass transit crew rostering problem. 2424–2429. 1 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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2026