Scholar4AI Updated 2026-11-03 18:03 UTC+09:00

Papers on “combinatorial optimization”

Research on “combinatorial optimization” in the 480 tracked journals: papers per year and category, the journals, institutions and countries publishing it, the keywords studied with it and its most-cited papers. It is not among the most frequent keywords of the last 30 days, so this page has no list of its latest papers. Also as Markdown.

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Key findings#

  • From 2017 to 2026 (so far), the keyword “combinatorial optimization” appeared in 1,676 papers in the tracked journals, most of them in operations research (1,222), AI (431) and economics (7).
  • 169 of them were published in 2025, against 167 in 2017.
  • Since 2023, the institutions with the most of these papers were Centre National de la Recherche Scientifique (31), Huazhong University of Science and Technology (13) and University of Chinese Academy of Sciences (13).
  • The journals publishing most of them were Computers & Operations Research (93), European Journal of Operational Research (68) and Expert Systems with Applications (41).
  • The most-cited of them is “Reinforcement learning for combinatorial optimization: A survey” (Computers & Operations Research, 2021), with 746 citations.

Papers per year#

2017: 167 papers2018: 161 papers2019: 145 papers2020: 166 papers2021: 194 papers2022: 200 papers2023: 150 papers2024: 184 papers2025: 169 papers2026 (so far): 140 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Operations Research14012911212913712311113511195
AI26323135547535455345
Economics0000011230
Statistics0001113010
Finance1000100110
Information Systems0001100100
Management0020000000
All categories167161145166194200150184169140

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China187
2United States88
3France66
4Germany55
5Spain50
6Italy50
7United Kingdom43
8Brazil35
9Canada30
10Netherlands22
Keywords with the most papers, since 2023
#KeywordPapers
1metaheuristic optimization82
2local search45
3traveling salesman problem44
4NP-hard problems39
5vehicle routing35
6approximation algorithms33
7NP-hardness27
8reinforcement learning25
9deep reinforcement learning24

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
174611.4Reinforcement learning for combinatorial optimization: A surveyComputers & Operations Research2021-05-28Nina Mazyavkina, Sergey Sviridov, Sergei Ivanov et al.
270216.4An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challengesArtificial Intelligence Review2023-04-09Kanchan Rajwar, Kusum Deep, Swagatam Das
34947.4Graph Learning: A SurveyIEEE Transactions on Artificial Intelligence2021-04-01Feng Xia, Ke Sun, Shuo Yu et al.
44667.0Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-artEuropean Journal of Operational Research2021-04-24Maryam Karimi-Mamaghan, Mehrdad Mohammadi, Patrick E. Meyer et al.
53558.6The flexible job shop scheduling problem: A reviewEuropean Journal of Operational Research2023-05-23Stéphane Dauzère‐Pérès, Junwen Ding, Liji Shen et al.
Cite this page

Scholar4AI. (2026). Papers on “combinatorial optimization”. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/keywords/combinatorial-optimization

@misc{scholar4ai-keywords-combinatorial-optimization,
  author = {{Scholar4AI}},
  title = {Papers on “combinatorial optimization”},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/keywords/combinatorial-optimization}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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