Maxime Ogier

426 citations
21 papers · 286 · h-index 9

Impact in

Papers in

Maxime Ogier

20 papers receiving 281 citations

Peers

Maxime Ogier
Comparison fields: 5 of 47
  • Industrial and Manufacturing Engineering 216
  • Building and Construction 103
  • Automotive Engineering 65
  • Transportation 17
  • Management Information Systems 19
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Raafat Elshaer Egypt
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Yogesh K. Agarwal India
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Leandro do C. Martins Spain
Rita Macedo Portugal
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Citations per field
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Citations per year

Countries citing papers authored by Maxime Ogier

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Ogier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Maxime Ogier, 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 Maxime Ogier Line = papers co-authored together Maxime Ogier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202054
2 201948
3 202137
4 202030
5 202122
6 202020
7 201312
8 202011
9 201510
10 20178
11 20207
12 20246
13 20235
14 20214
15 20243
16 20243
17 20192
18
Adaptive large neighborhood search for the commodity constrained split delivery VRP
20182
19 20251
20 19931

About Maxime Ogier

Maxime Ogier is a scholar working on Industrial and Manufacturing Engineering, Building and Construction, Automotive Engineering, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 21 papers that have together received 286 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (15 papers), Urban and Freight Transport Logistics (7 papers), Optimization and Packing Problems (5 papers), Facility Location and Emergency Management (3 papers), Advanced Manufacturing and Logistics Optimization (3 papers), Transportation and Mobility Innovations (2 papers), Sustainable Supply Chain Management (2 papers) and Optimization and Mathematical Programming (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (216 citations), Building and Construction (103 citations), Automotive Engineering (65 citations), Transportation (17 citations) and Management Information Systems (19 citations). Maxime Ogier has collaborated with scholars based in France, Italy and China. Frequent co-authors include Diego Cattaruzza, Frédéric Semet, Wenjuan Gu, Hadrien Cambazard, Anne-Laure Ladier, Olivier Briant, Daniele Vigo, Claudia Archetti, Van‐Dat Cung and S. Brisset. Their work appears in journals such as European Journal of Operational Research, 4OR, Operations Research Letters, Networks and Computers & Industrial Engineering.

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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