searchlogit (Python package): papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to searchlogit (Python package) (https://pypi.org/project/searchlogit/), 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 searchlogit (Python package) in their Crossref records, the first in 2024; most of them (2) in 2024.
By category: Operations Research (3); the journals with the most are Transportation (2) and Transportation Research Part C Emerging Technologies (1).
3 of the papers build on one another: a later paper cites an earlier one that also links searchlogit (Python package).

By year#

20242025

Papers linking to searchlogit (Python package) by publication year
Year	Papers
2024	2
2025	1

Journals#

Journals whose papers link to searchlogit (Python package) most
Journal	Papers
Transportation	2
Transportation Research Part C Emerging Technologies	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Estimation of discrete choice models considering simultaneously multiple objectives and complex data characteristics Transportation Research Part C Emerging Technologies, 2024
- Retiring meters: a roadmap to encourage wider adoption of parking apps Transportation, 2024 — cites the paper above
- Enhanced utility estimation algorithm for discrete choice models in travel demand forecasting Transportation, 2025 — cites the paper above

Papers linking to searchlogit (Python package), most cited first
Published	Title	Journal	Authors	Citations	Link
2024-02-13	Estimation of discrete choice models considering simultaneously multiple objectives and complex data characteristics	Transportation Research Part C Emerging Technologies	Prithvi Bhat Beeramoole, Ryan Kelly, Md. Mazharul Haque et al.	21	cites it
2025-02-05	Enhanced utility estimation algorithm for discrete choice models in travel demand forecasting	Transportation	Amir Ghorbani, Neema Nassir, Patrícia Sauri Lavieri et al.	13	cites it
2024-12-05	Retiring meters: a roadmap to encourage wider adoption of parking apps	Transportation	Mohammad Mahdi Ahmadian, Prithvi Bhat Beeramoole, Douglas Charles Baker et al.	6	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). searchlogit (Python package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/pypi-searchlogit

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

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