Reinaldo Morábito

6.4k total citations
230 papers, 4.5k citations indexed

About

Reinaldo Morábito is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Control and Systems Engineering. According to data from OpenAlex, Reinaldo Morábito has authored 230 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 167 papers in Industrial and Manufacturing Engineering, 55 papers in Management Information Systems and 35 papers in Control and Systems Engineering. Recurrent topics in Reinaldo Morábito's work include Optimization and Packing Problems (86 papers), Advanced Manufacturing and Logistics Optimization (79 papers) and Vehicle Routing Optimization Methods (68 papers). Reinaldo Morábito is often cited by papers focused on Optimization and Packing Problems (86 papers), Advanced Manufacturing and Logistics Optimization (79 papers) and Vehicle Routing Optimization Methods (68 papers). Reinaldo Morábito collaborates with scholars based in Brazil, United States and France. Reinaldo Morábito's co-authors include Ana Paula Iannoni, Pedro Munari, Marcos Nereu Arenales, Douglas Alem, Deisemara Ferreira, Vitória Pureza, Leonardo Junqueira, Denise Sato Yamashita, Fernando Y. Chiyoshi and Roberto D. Galvão and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Reinaldo Morábito

221 papers receiving 4.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Reinaldo Morábito 3.1k 840 806 590 494 230 4.5k
Justo Puerto 1.4k 0.5× 1.5k 1.8× 296 0.4× 530 0.9× 220 0.4× 217 3.3k
Stefan Nickel 3.2k 1.0× 2.5k 3.0× 1.3k 1.7× 851 1.4× 215 0.4× 181 7.0k
Oded Berman 2.6k 0.8× 3.1k 3.7× 1.2k 1.5× 481 0.8× 99 0.2× 222 6.2k
Richard T. Wong 1.7k 0.5× 507 0.6× 264 0.3× 429 0.7× 48 0.1× 37 3.2k
Daniele Vigo 8.7k 2.8× 469 0.6× 173 0.2× 554 0.9× 603 1.2× 117 10.6k
Stephen C.H. Leung 1.6k 0.5× 109 0.1× 1.1k 1.3× 350 0.6× 147 0.3× 72 3.4k
Erhan Erkut 1.1k 0.3× 1.5k 1.8× 108 0.1× 379 0.6× 80 0.2× 70 3.8k
Leon F. McGinnis 2.9k 0.9× 363 0.4× 478 0.6× 255 0.4× 68 0.1× 132 3.8k
Bhaba R. Sarker 3.7k 1.2× 613 0.7× 3.4k 4.2× 541 0.9× 49 0.1× 192 6.9k
Dmitry Krass 960 0.3× 1.4k 1.7× 678 0.8× 193 0.3× 23 0.0× 72 3.1k

Countries citing papers authored by Reinaldo Morábito

Since Specialization
Citations

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

Fields of papers citing papers by Reinaldo Morábito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reinaldo Morábito

This figure shows the co-authorship network connecting the top 25 collaborators of Reinaldo Morábito. A scholar is included among the top collaborators of Reinaldo Morábito 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 Reinaldo Morábito. Reinaldo Morábito 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.
Ferreira, Deisemara, et al.. (2025). A critical review of MIP models for lot-sizing and scheduling in the beverage industry. Computers & Industrial Engineering. 205. 111151–111151.
2.
Morábito, Reinaldo, et al.. (2024). Hierarchical goal programming approaches to solve a discrete‐time formulation for the aircraft recovery problem of a Brazilian oil and gas company. International Transactions in Operational Research. 32(3). 1343–1374. 3 indexed citations
3.
Coelho, Leandro C., et al.. (2024). An exact method for a last-mile delivery routing problem with multiple deliverymen. European Journal of Operational Research. 317(2). 550–562. 6 indexed citations
4.
Almada‐Lobo, Bernardo, et al.. (2024). Matheuristic for the lot-sizing and scheduling problem in integrated pulp and paper production. Computers & Industrial Engineering. 192. 110183–110183. 3 indexed citations
5.
Toso, Eli Angela Vitor, et al.. (2023). A location–transportation problem under demand uncertainty for a pharmaceutical network in Brazil. Computers & Chemical Engineering. 174. 108233–108233. 3 indexed citations
6.
Morábito, Reinaldo, et al.. (2023). The aircraft recovery problem: A systematic literature review. EURO Journal on Transportation and Logistics. 12. 100117–100117. 9 indexed citations
7.
Araújo, Olinto César Bassi de, et al.. (2023). Comparative analysis of mathematical formulations for the two‐dimensional guillotine cutting problem. International Transactions in Operational Research. 31(5). 3010–3035. 4 indexed citations
8.
9.
Yanasse, Horácio Hideki, et al.. (2022). Models for two- and three-stage two-dimensional cutting stock problems with a limited number of open stacks. International Journal of Production Research. 61(9). 2895–2916. 6 indexed citations
10.
Ferreira, Deisemara, et al.. (2020). A heuristic approach to optimize the production scheduling of fruit-based beverages. Gestão & Produção. 27(4). 2 indexed citations
11.
Yamashita, Denise Sato, et al.. (2019). A multi-start heuristic for the ship routing and scheduling of an oil company. Computers & Industrial Engineering. 136. 464–476. 15 indexed citations
12.
Morábito, Reinaldo, et al.. (2019). Cash flow management by risk-neutral and risk-averse stochastic approaches. Journal of the Operational Research Society. 71(1). 55–68. 7 indexed citations
13.
Morábito, Reinaldo, et al.. (2019). Mixed integer formulations for a coupled lot-scheduling and vehicle routing problem in furniture settings. INFOR Information Systems and Operational Research. 57(4). 563–596. 8 indexed citations
14.
Morábito, Reinaldo, et al.. (2019). The constrained two-dimensional guillotine cutting problem with defects: an ILP formulation, a Benders decomposition and a CP-based algorithm. International Journal of Production Research. 58(9). 2712–2729. 19 indexed citations
15.
Munari, Pedro & Reinaldo Morábito. (2018). A branch-price-and-cut algorithm for the vehicle routing problem with time windows and multiple deliverymen. Top. 26(3). 437–464. 16 indexed citations
16.
17.
Almada‐Lobo, Bernardo, et al.. (2015). Unequal individual genetic algorithm with intelligent diversification for the lot-scheduling problem in integrated mills using multiple-paper machines. Computers & Operations Research. 59. 33–50. 21 indexed citations
18.
Morábito, Reinaldo, et al.. (2014). Optimization approaches to support decision making in the production planning of a citrus company: A Brazilian case study. Computers and Electronics in Agriculture. 107. 45–57. 38 indexed citations
19.
Morábito, Reinaldo, et al.. (2004). Optimizing the scheduling of furnace loadings in an inox-steel foundry. University of Twente Research Information. 4 indexed citations
20.
Morábito, Reinaldo, et al.. (1998). The cutting stock problem in a hardboard industry: A case study. Computers & Operations Research. 25(6). 469–485. 33 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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