M. Laí

1.8k citations
13 papers · 183 · h-index 5

Impact in

Papers in

M. Laí

11 papers receiving 177 citations

Peers

M. Laí
Comparison fields: 5 of 25
  • Industrial and Manufacturing Engineering 166
  • Building and Construction 68
  • Transportation 28
  • Automotive Engineering 27
  • Environmental Engineering 25
Replace Jiabin Luo with:
Jiabin Luo United Kingdom
Konrad Stephan Germany
Marcello Sammarra Italy
Ilaria Vacca Switzerland
Baoli Liu China
J Ramonet France
Levi R. Abreu Brazil
Piotr Matl Austria
Pieter‐Jan Fioole Netherlands
Arif Karakaş Türkiye
M. Laí relative to Jiabin Luo United Kingdom Jiabin Luo's profile →
Citations per field
00.5×1.5×2.4×
Jiabin Luo · 1×
Citations per year

Countries citing papers authored by M. Laí

Since Specialization
Citations

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

Fields of papers citing papers by M. Laí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Laí, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Laí Line = papers co-authored together M. Laí links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201381
2 201356
3 201423
4
Models and algorithms for the empty container repositioning and its integration with routing problems
20137
5 20234
6 20143
7 20123
8 20132
9 20242
10 20241
11 20251
12 20210
13 20220

About M. Laí

M. Laí is a scholar working on Industrial and Manufacturing Engineering, Nuclear and High Energy Physics, Radiation, Automotive Engineering and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 183 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (5 papers), Maritime Ports and Logistics (5 papers), Dark Matter and Cosmic Phenomena (3 papers), Radiation Detection and Scintillator Technologies (3 papers), Optimization and Packing Problems (3 papers), Transportation and Mobility Innovations (2 papers), Particle physics theoretical and experimental studies (2 papers) and Neutrino Physics Research (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (166 citations), Building and Construction (68 citations), Transportation (28 citations), Automotive Engineering (27 citations) and Environmental Engineering (25 citations). M. Laí has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Massimo Di Francesco, Paola Zuddas, Teodor Gabriel Crainic, Maria Battarra, P. Leaci, C. Palomba, F. Gabriele, J. C-L. Tseng, A. Baxter and M. Kara. Their work appears in journals such as Journal of Instrumentation, Physics in Medicine and Biology, Physical review. D, Computers & Industrial Engineering and Journal of the Operational Research Society.

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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