Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

microsoft/CyberBattleSim: papers linking to it

GitHub · 1,805 stars · 283 forks · Jupyter Notebook · license MIT · created 2020 · github.com/microsoft/CyberBattleSim

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Research papers in the 480 tracked journals that link to microsoft/CyberBattleSim (https://github.com/microsoft/CyberBattleSim), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

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Key findings#

  • 6 papers in the tracked journals link to the GitHub repository microsoft/CyberBattleSim in their Crossref records, the first in 2025; most of them (3) in 2026.
  • By category: AI (5) and Operations Research (1); the journals with the most are Expert Systems with Applications (3), Annals of Operations Research (1) and Applied Intelligence (1).

By year#

2025: 3 papers2026: 3 papers
20252026
Papers linking to microsoft/CyberBattleSim by publication year
YearPapers
20253
20263

Journals#

Journals whose papers link to microsoft/CyberBattleSim most
JournalPapers
Expert Systems with Applications3
Annals of Operations Research1
Applied Intelligence1
Artificial Intelligence1
Papers linking to microsoft/CyberBattleSim, most cited first
PublishedTitleJournalAuthorsCitationsLink
2025-07-26Reinforcement Learning in action: Powering intelligent intrusion responses to advanced cyber threats in realistic scenariosExpert Systems with ApplicationsEider Iturbe, Angel Rego, Oscar Llorente-Vazquez et al.8cites it
2025-11-11Autonomous penetration testing using reinforcement learning: A review and perspectivesExpert Systems with ApplicationsJingju Liu, Yue Zhang, Shicheng Zhou et al.6cites it
2025-10-15Building adaptative and transparent cyber agents with local language modelsExpert Systems with ApplicationsMaría Rigaki, Carlos Adrian Catania, Sebastián García2cites it
2026-08-25Reinforcement Learning for decision support in defense and security: A systematic reviewAnnals of Operations ResearchMaarten P. D. Schadd, David S. Berman, C.M. Chen et al.2cites it
2026-04-11Decision-theoretic planning and cognitive modeling for active cyber deceptionArtificial IntelligenceAditya Shinde, Prashant Doshi0cites it
2026-07-01A systematic evaluation of large language models for autonomous cyber defenseApplied IntelligenceThibaut Jacques0cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). microsoft/CyberBattleSim: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-microsoft-cyberbattlesim

@misc{scholar4ai-code-github-microsoft-cyberbattlesim,
  author = {{Scholar4AI}},
  title = {microsoft/CyberBattleSim: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-microsoft-cyberbattlesim}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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