Scholar4AI Updated 2026-10-31 19:11 UTC+09:00

Airbus (France)

Papers in the tracked journals with an author at Airbus (France): per year and category, where they are published, the institutions its researchers write with, and its most-cited papers. A paper counts as corporate when at least one of its authors is affiliated with an institution that OpenAlex classifies as a company; it counts once for each company among its authors' affiliations. Universities are the institutions OpenAlex classifies as education. Also as Markdown.

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← Corporate research

Key findings#

  • From 2017 to 2026 (so far), authors at Airbus (France) took part in 12 papers in the tracked journals, most of them in operations research (5), AI (3) and information systems (2).
  • 1 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Centre National de la Recherche Scientifique (2), Université de Toulouse (2) and Airbus (Germany) (1).
  • The journals publishing most of them were Journal of Industrial Information Integration (2), Annals of Operations Research (1) and Machine Learning (1).
  • The most-cited of them is “Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities” (Artificial Intelligence Review, 2021), with 368 citations.

Papers per year#

2017: 0 papers2018: 1 paper2019: 3 papers2020: 1 paper2021: 2 papers2022: 0 papers2023: 2 papers2024: 1 paper2025: 1 paper2026 (so far): 1 paper
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Operations Research0120101000
AI0001101000
Information Systems0000000110
Economics0000000001
Statistics0010000000
All categories0131202111

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Centre National de la Recherche Scientifique2
2Université de Toulouse2
3Airbus (Germany)1
4Airbus (Spain)1
5Airbus (United Kingdom)1
6Airbus Defence and Space GmbH (Germany)1
7CRAN1
8Institut de Recherche en Informatique de Toulouse1
9Laboratoire d'Analyse et d'Architecture des Systèmes1
Countries with the most papers, since 2023
#CountryPapers
1France5
2Germany1
3Spain1
4United Kingdom1
Keywords with the most papers, since 2023
#KeywordPapers
1DICE model1
2aerospace industry1
3backstop technology1
4bias mitigation1
5climate change mitigation1
6climate damages1
7climate policy1
8cognitive digital twin1
9conceptual design1
10concurrent engineering1

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
13685.3Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunitiesArtificial Intelligence Review2021-02-04Adrien Bécue, Isabel Praça, João Manuel Portela da Gama
2931.0Adaptive automation assembly: Identifying system requirements for technical efficiency and worker satisfactionComputers & Industrial Engineering2019-03-23Sarah Fletcher, Teegan Johnson, Tobias Adlon et al.
3210.3Shape-based outlier detection in multivariate functional dataKnowledge-Based Systems2020-04-23Clément Lejeune, Josiane Mothe, Adil Soubki et al.
4170.3MILP formulation improvement with k-means clustering for the beam layout optimization in multibeam satellite systemsComputers & Industrial Engineering2021-03-13Jean‐Thomas Camino, Christian Artigues, Laurent Houssin et al.
5140.2Linearization of Euclidean norm dependent inequalities applied to multibeam satellites designComputational Optimization and Applications2019-03-07Jean‐Thomas Camino, Christian Artigues, Laurent Houssin et al.
6130.1A multivariate extreme value theory approach to anomaly clustering and visualizationComputational Statistics2019-07-20Maël Chiapino, Stéphan Clémençon, Vincent Feuillard et al.
790.1Redundancy system design for an aircraft door management systemComputers & Operations Research2018-02-08Lukas Schäfer, Sergio García, Andreas Mitschke et al.
890.2Large neighborhood search for an aeronautical assembly line time-constrained scheduling problem with multiple modes and a resource leveling objectiveAnnals of Operations Research2023-10-17Tamara Borreguero Sanchidrián, Tom Portoleau, Christian Artigues et al.
920.0Data driven discovery of systems of ordinary differential equations using nonconvex multitask learningMachine Learning2023-04-24Clément Lejeune, Josiane Mothe, Adil Soubki et al.
Cite this page

Scholar4AI. (2026). Airbus (France). Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/companies/airbus-france

@misc{scholar4ai-companies-airbus-france,
  author = {{Scholar4AI}},
  title = {Airbus (France)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/airbus-france}},
  urldate = {2026-10-31},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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