Manuel Iori

6.0k total citations · 1 hit paper
122 papers, 4.0k citations indexed

About

Manuel Iori is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Automotive Engineering. According to data from OpenAlex, Manuel Iori has authored 122 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Industrial and Manufacturing Engineering, 21 papers in Computer Networks and Communications and 19 papers in Automotive Engineering. Recurrent topics in Manuel Iori's work include Optimization and Packing Problems (62 papers), Vehicle Routing Optimization Methods (56 papers) and Advanced Manufacturing and Logistics Optimization (54 papers). Manuel Iori is often cited by papers focused on Optimization and Packing Problems (62 papers), Vehicle Routing Optimization Methods (56 papers) and Advanced Manufacturing and Logistics Optimization (54 papers). Manuel Iori collaborates with scholars based in Italy, Brazil and Canada. Manuel Iori's co-authors include Silvano Martello, Mauro Dell’Amico, Maxence Delorme, Stefano Novellani, Gilbert Laporte, Richard F. Hartl, Michel Gendreau, Karl F. Doerner, Juan‐José Salazar‐González and Jean‐François Cordeau and has published in prestigious journals such as European Journal of Operational Research, Operations Research and Journal of the Operational Research Society.

In The Last Decade

Manuel Iori

114 papers receiving 3.8k citations

Hit Papers

Bin packing and cutting stock problems: Mathematical mode... 2016 2026 2019 2022 2016 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Iori Italy 36 3.0k 757 648 566 354 122 4.0k
Roberto Tadei Italy 30 2.5k 0.8× 504 0.7× 914 1.4× 377 0.7× 464 1.3× 144 3.3k
Roberto Baldacci Italy 35 3.5k 1.1× 1.8k 2.4× 1.6k 2.4× 490 0.9× 204 0.6× 108 4.2k
Jakob Puchinger France 22 1.5k 0.5× 1.5k 1.9× 689 1.1× 658 1.2× 216 0.6× 57 3.0k
Aristide Mingozzi Italy 33 3.4k 1.1× 1.7k 2.3× 1.3k 2.0× 505 0.9× 301 0.9× 49 4.0k
Moshe Dror United States 35 3.0k 1.0× 1.2k 1.6× 876 1.4× 357 0.6× 421 1.2× 124 4.1k
Eduardo Uchoa Brazil 28 2.3k 0.8× 937 1.2× 635 1.0× 224 0.4× 338 1.0× 85 2.8k
Guy Desaulniers Canada 39 3.6k 1.2× 1.5k 2.0× 879 1.4× 608 1.1× 301 0.9× 187 4.4k
Pamela H. Vance United States 10 1.9k 0.6× 368 0.5× 331 0.5× 284 0.5× 417 1.2× 12 2.5k
Anita Schöbel Germany 31 1.3k 0.4× 538 0.7× 359 0.6× 1.3k 2.3× 112 0.3× 134 3.0k
Oli B.G. Madsen Denmark 21 1.7k 0.6× 974 1.3× 607 0.9× 385 0.7× 135 0.4× 35 2.1k

Countries citing papers authored by Manuel Iori

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Iori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Iori

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Iori. A scholar is included among the top collaborators of Manuel Iori 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 Manuel Iori. Manuel Iori 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.
Iori, Manuel, et al.. (2025). Bilevel optimization with sustainability perspective: A survey on applications. European Journal of Operational Research. 332(2). 357–375.
2.
Queiroz, Thiago Alves de, et al.. (2025). A Real-World Multi-Depot, Multi-Period, and Multi-Trip Vehicle Routing Problem with Time Windows. IRIS UNIMORE (University of Modena and Reggio Emilia). 112–122.
3.
Iori, Manuel, et al.. (2024). Tool switching problems with tool order constraints. Discrete Applied Mathematics. 347. 249–262.
4.
Cordeau, Jean-François, et al.. (2024). An updated survey of attended home delivery and service problems with a focus on applications. Annals of Operations Research. 343(2). 885–922. 2 indexed citations
5.
Iori, Manuel, et al.. (2024). An Integrated Decision Support System for Intra-Logistics Management with Peripheral Storage and Centralized Distribution. IRIS UNIMORE (University of Modena and Reggio Emilia). 612–619.
6.
Iori, Manuel, et al.. (2023). The transportation problem with packing constraints. Computers & Operations Research. 157. 106278–106278. 2 indexed citations
7.
Queiroz, Thiago Alves de, Manuel Iori, Arthur Kramer, & Yong‐Hong Kuo. (2023). Dynamic scheduling of patients in emergency departments. European Journal of Operational Research. 310(1). 100–116. 10 indexed citations
8.
Iori, Manuel, et al.. (2023). Solution of a practical vehicle routing problem for monitoring water distribution networks. Journal of the Operational Research Society. 75(10). 1989–2007. 2 indexed citations
9.
Delorme, Maxence, et al.. (2023). Exact algorithms for a parallel machine scheduling problem with workforce and contiguity constraints. Computers & Operations Research. 163. 106484–106484. 3 indexed citations
10.
Queiroz, Thiago Alves de, et al.. (2023). A Decision Support System for Multi-Trip Vehicle Routing Problems. IRIS UNIMORE (University of Modena and Reggio Emilia). 335–343. 1 indexed citations
11.
Iori, Manuel, et al.. (2023). An iterated local search for a multi‐period orienteering problem arising in a car patrolling application. Networks. 83(1). 153–168. 2 indexed citations
12.
Cordeau, Jean‐François, et al.. (2023). A survey of attended home delivery and service problems with a focus on applications. 4OR. 21(4). 547–583. 4 indexed citations
13.
Delorme, Maxence, et al.. (2022). Integer Linear Programming for the Tutor Allocation Problem: A practical case in a British University. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1 indexed citations
14.
Iori, Manuel, et al.. (2021). Mathematical models and heuristic algorithms for pallet building problems with practical constraints. Annals of Operations Research. 350(1). 5–36. 5 indexed citations
15.
Kramer, Arthur, Mauro Dell’Amico, Dominique Feillet, & Manuel Iori. (2020). Scheduling jobs with release dates on identical parallel machines by minimizing the total weighted completion time. Computers & Operations Research. 123. 105018–105018. 10 indexed citations
16.
Côté, Jean‐François, Thiago Alves de Queiroz, Manuel Iori, & Matteo Vignoli. (2020). Transporte Dinâmico de Pacientes dentro de um Hospital.
17.
Kramer, Arthur, Manuel Iori, & Philippe Lacomme. (2019). Mathematical formulations for scheduling jobs on identical parallel machines with family setup times and total weighted completion time minimization. European Journal of Operational Research. 289(3). 825–840. 24 indexed citations
19.
Dell’Amico, Mauro, Manuel Iori, Stefano Novellani, & Thomas Stützle. (2016). A destroy and repair algorithm for the Bike sharing Rebalancing Problem. Computers & Operations Research. 71. 149–162. 119 indexed citations
20.
Battarra, Maria, Jean‐François Cordeau, & Manuel Iori. (2014). Pickup and Delivery Problems for Goods Transportation. IRIS UNIMORE (University of Modena and Reggio Emilia). 32 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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