langdetect (Python package): papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to langdetect (Python package) (https://pypi.org/project/langdetect/), 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#

3 papers in the tracked journals link to langdetect (Python package) in their Crossref records, the first in 2020; most of them (1) in 2025.
By category: Information Systems (1), Marketing (1) and Higher Education and Research (1); the journals with the most are Electronic Markets (1), Journal of Marketing Analytics (1) and Scientometrics (1).

By year#

20202025

Papers linking to langdetect (Python package) by publication year
Year	Papers
2020	1
2024	1
2025	1

Journals#

Journals whose papers link to langdetect (Python package) most
Journal	Papers
Electronic Markets	1
Journal of Marketing Analytics	1
Scientometrics	1

Papers linking to langdetect (Python package), most cited first
Published	Title	Journal	Authors	Citations	Link
2020-10-14	Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study	Scientometrics	Jan Kinne, Janna Axenbeck	84	cites it
2024-01-23	Consumers’ ambiguous perceptions of advertising disclosures in influencer marketing: Disentangling the effects on current and future social media engagement	Electronic Markets	Adrian Waltenrath	31	cites it
2025-04-11	Automated psychographic consumer segmentation: a text classification approach	Journal of Marketing Analytics	Simone Griesser, Patricia Feubli, Douglas MacKevett	8	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). langdetect (Python package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/pypi-langdetect

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

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