tesseract-ocr/tesseract: papers linking to it

GitHub · 77,308 stars · 10,899 forks · C++ · license Apache-2.0 · created 2014 · github.com/tesseract-ocr/tesseract

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to tesseract-ocr/tesseract (https://github.com/tesseract-ocr/tesseract), 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 tesseract-ocr/tesseract in their Crossref records, the first in 2020; most of them (2) in 2020.
By category: AI (3) and Economics (1); the journals with the most are Neural Computing and Applications (3) and Explorations in Economic History (1).

By year#

20202025

Papers linking to tesseract-ocr/tesseract by publication year
Year	Papers
2020	2
2022	1
2025	1

Journals#

Journals whose papers link to tesseract-ocr/tesseract most
Journal	Papers
Neural Computing and Applications	3
Explorations in Economic History	1

Papers linking to tesseract-ocr/tesseract, most cited first
Published	Title	Journal	Authors	Citations	Link
2020-07-17	Automatic recognition of handwritten Arabic characters: a comprehensive review	Neural Computing and Applications	Hossam Magdy Balaha, Hesham Arafat Ali, Mahmoud Badawy	69	cites it
2020-07-08	Using the deep neural networks for normal and abnormal situation recognition in the automatic access monitoring and control system of vehicles	Neural Computing and Applications	O.S. Amosov, Svetlana Gennadievna Amosova, Y. S. Ivanov et al.	22	cites it
2022-09-20	Perks and pitfalls of city directories as a micro-geographic data source	Explorations in Economic History	Thilo Albers, Kalle Kappner	6	cites it
2025-05-21	Veri-Car: towards open-world vehicle information retrieval	Neural Computing and Applications	Andrés Munoz, Nancy Thomas, Annita Vapsi et al.	2	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). tesseract-ocr/tesseract: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-tesseract-ocr-tesseract

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

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