Patrick Meyer

77 papers receiving 1.8k citations

Patrick Meyer's Hit Papers

Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art 2021 · 312 citations
3120+1+3Years since publication100200300

Peers

Patrick Meyer
Comparison fields: 5 of 141
  • Management Science and Operations Research 669
  • Industrial and Manufacturing Engineering 270
  • Statistics and Probability 203
  • Computational Theory and Mathematics 326
  • Artificial Intelligence 615
Replace Pranab K. Muhuri with:
Pranab K. Muhuri India
Yu‐Wang Chen United Kingdom
Mangey Ram India
Kuo-Ping Lin Taiwan
Piero P. Bonissone United States
Hsiao‐Fan Wang Taiwan
Ying-Ming Wang China
Xingli Wu China
Marc Pirlot Belgium
Diyar Akay Türkiye
Patrick Meyer relative to Pranab K. Muhuri India Pranab K. Muhuri's profile →
Citations per field
00.5×1.5×1.9×
Pranab K. Muhuri · 1×
Citations per year

Countries citing papers authored by Patrick Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Meyer, 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 Patrick Meyer Line = papers co-authored together Patrick Meyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
Hit paper breakdown →
2021312
2 2007310
3 2007148
4 2006131
5 2008122
6 202292
7 200580
8 200771
9 200759
10 200357
11 201246
12 201345
13 200637
14 201735
15 201533
16 201023
17 202321
18 201217
19 201914
20 201614

About Patrick Meyer

Patrick Meyer is a scholar working on Management Science and Operations Research, Artificial Intelligence, Signal Processing, Computational Theory and Mathematics and Information Systems, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (26 papers), Bayesian Modeling and Causal Inference (13 papers), Rough Sets and Fuzzy Logic (9 papers), Data Management and Algorithms (8 papers), Speech and Audio Processing (8 papers), Data Mining Algorithms and Applications (7 papers), Cognitive Science and Mapping (5 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Management Science and Operations Research (669 citations), Industrial and Manufacturing Engineering (270 citations), Statistics and Probability (203 citations), Computational Theory and Mathematics (326 citations) and Artificial Intelligence (615 citations). Patrick Meyer has collaborated with scholars based in France, Germany and Luxembourg. Frequent co-authors include Ivan Kojadinovic, Michel Grabisch, Mehrdad Mohammadi, Maryam Karimi-Mamaghan, James J. Winebrake, Marc Roubens, Gianluca Bontempi, El‐Ghazali Talbi, Stéphane Lallich and Philippe Lenca. Their work appears in journals such as European Journal of Operational Research, Computers & Operations Research, 4OR, International series in management science/operations research/International series in operations research & management science and Socio-Economic Planning Sciences.

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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