MaartenGr/BERTopic: papers linking to it

GitHub · 7,928 stars · 932 forks · Python · license MIT · created 2020 · github.com/MaartenGr/BERTopic

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to MaartenGr/BERTopic (https://github.com/MaartenGr/BERTopic), 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.

Key findings#

4 papers in the tracked journals link to the GitHub repository MaartenGr/BERTopic in their Crossref records, the first in 2025; most of them (2) in 2026.
By category: AI (2), Higher Education and Research (1) and Information Systems (1); the journals with the most are Scientometrics (1), Expert Systems with Applications (1) and International Journal of Information Management Data Insights (1).

By year#

20252026

Papers linking to MaartenGr/BERTopic by publication year
Year	Papers
2025	2
2026	2

Journals#

Journals whose papers link to MaartenGr/BERTopic most
Journal	Papers
Scientometrics	1
Expert Systems with Applications	1
International Journal of Information Management Data Insights	1
Journal Of Big Data	1

Papers linking to MaartenGr/BERTopic, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-05-31	Capturing research literature attitude towards sustainable development goals: an LLM-based topic modeling approach	Journal Of Big Data	Francesco Invernici, Francesca Curati, Jelena Jakimov et al.	15	cites it
2025-07-21	Securing the metaverse: Machine learning–based perspectives on risk, trust, and governance	International Journal of Information Management Data Insights	Krishnashree Achuthan, Sasangan Ramanathan, Raghu Raman R	12	cites it
2026-02-26	CCMH: An intelligent system for cross-condition mental health text analysis via semantic dictionary learning	Expert Systems with Applications	Muhammad Usman Khalid, Malik Muhammad Nauman, Shafiq Ur Rehman et al.	2	cites it
2026-08-03	Bag-of-words or embedding-based topic models? Comparing LDA, BERTopic, and six other methods	Scientometrics	Jean-Charles Lamirel, Francis Lareau, Thibault Prouteau et al.	1	cites 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). MaartenGr/BERTopic: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-maartengr-bertopic

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

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