--- title: "mlogit (R package): papers citing this CRAN package" description: "14 papers in the tracked journals link to mlogit (R package) in their Crossref records, the first in 2017; most of them (5) in 2022." url: https://scholar4ai.com/code/cran-mlogit markdown_url: https://scholar4ai.com/code/cran-mlogit.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "14 papers in the tracked journals link to mlogit (R package) in their Crossref records, the first in 2017; most of them (5) in 2022. (as of 2026-11-03)" data_url: https://scholar4ai.com/data/rankings.json updated: 2026-11-03T14:43:26+09:00 window: 2026-10-05 to 2026-11-03 source: OpenAlex (CC0) --- # mlogit (R package): papers linking to it Research papers in the 480 tracked journals that link to mlogit (R package) (https://CRAN.R-project.org/package=mlogit), 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. - CRAN - https://CRAN.R-project.org/package=mlogit All repositories: https://scholar4ai.com/code.md ## Key findings - 14 papers in the tracked journals link to mlogit (R package) in their Crossref records, the first in 2017; most of them (5) in 2022. - By category: Operations Research (6), Economics (4) and Health Economics and Policy (1); the journals with the most are European Economic Review (2), Transportation Research Part A Policy and Practice (2) and Transportation (2). ## By year *Papers linking to mlogit (R package) by publication year* | Year | Papers | |---|---:| | 2017 | 4 | | 2018 | 2 | | 2020 | 2 | | 2021 | 1 | | 2022 | 5 | ## Journals *Journals whose papers link to mlogit (R package) most* | Journal | Papers | |---|---:| | [European Economic Review](https://scholar4ai.com/journals/european-economic-review.md) | 2 | | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 2 | | [Transportation](https://scholar4ai.com/journals/transportation.md) | 2 | | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 1 | | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | 1 | ## Papers *Papers linking to mlogit (R package), most cited first* | Published | Title | Journal | Authors | Citations | Link | |---|---|---|---|---:|---| | 2017-01-10 | [Flexing service schedules: Assessing the potential for demand-adaptive hybrid transit via a stated preference approach](https://doi.org/10.1016/j.trc.2016.12.017) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | Charlotte Frei, Michael F. Hyland, Hani S. Mahmassani | 151 | cites it | | 2017-10-23 | [Who are bike sharing schemes members and do they travel differently? The case of Lyon’s “Velo’v” scheme](https://doi.org/10.1016/j.tra.2017.10.010) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | Charles Raux A, Ayman Zoubir, Mirkan Geyik | 65 | cites it | | 2022-09-20 | [Value Set for the EQ-5D-Y-3L in Hungary](https://doi.org/10.1007/s40273-022-01190-2) | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | Fanni Rencz, Gábor Ruzsa, Alex Bató et al. | 40 | cites it | | 2017-02-17 | [The climate challenge for agriculture and the value of climate services: Application to coffee-farming in Peru](https://doi.org/10.1016/j.euroecorev.2017.02.002) | [European Economic Review](https://scholar4ai.com/journals/european-economic-review.md) | Filippo Lechthaler, Alexandra Vinogradova | 29 | cites it | | 2021-08-09 | [Impact of TNC on travel behavior and mode choice: a comparative analysis of Boston and Philadelphia](https://doi.org/10.1007/s11116-021-10220-5) | [Transportation](https://scholar4ai.com/journals/transportation.md) | Xiaoxia Dong, Erick Guerra, Ricardo A. Daziano | 23 | cites it | | 2022-08-15 | [Ranking preferences towards adopting autonomous vehicles based on peer inputs and advertisements](https://doi.org/10.1007/s11116-022-10304-w) | [Transportation](https://scholar4ai.com/journals/transportation.md) | Ishant Sharma, Sabyasachee Mishra | 21 | cites it | | 2022-03-09 | [A combined and robust modal-split/traffic assignment model for rail and road freight transport](https://doi.org/10.1016/j.ejor.2022.03.008) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | Francisca Rosell Camps, Esteve Codina, Lídia Montero | 19 | cites it | | 2018-11-29 | [The order of variables, simulation noise, and accuracy of mixed logit estimates](https://doi.org/10.1007/s00181-018-1609-2) | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | Marco A. Palma, Dmitry V. Vedenov, David A. Bessler | 18 | cites it | | 2017-06-27 | [The climate challenge for agriculture and the value of climate services: Application to coffee-farming in Peru](https://doi.org/10.1016/j.euroecorev.2017.06.006) | [European Economic Review](https://scholar4ai.com/journals/european-economic-review.md) | Filippo Lechthaler, Alexandra Vinogradova | 16 | cites it | | 2020-07-09 | [Personality traits as drivers of social preferences: a mixed logit model application](https://doi.org/10.1007/s11573-020-01001-0) | [Journal of Business Economics](https://scholar4ai.com/journals/journal-of-business-economics.md) | Friederike Paetz | 16 | cites it | | 2022-02-03 | [Public preferences for distribution in the context of transport investments](https://doi.org/10.1016/j.tra.2022.01.013) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | Anders Bondemark, Henrik Andersson, Karin Brundell-Freij | 7 | cites it | | 2018-06-20 | [Destinations of Admitted Out-of-State Students: A Case of One Institution](https://doi.org/10.1007/s11162-018-9516-0) | [Research in Higher Education](https://scholar4ai.com/journals/research-in-higher-education.md) | Iryna Y. Johnson | 2 | cites it | | 2020-04-22 | [A-optimal designs under a linearized model for discrete choice experiments](https://doi.org/10.1007/s00184-020-00771-5) | [Metrika](https://scholar4ai.com/journals/metrika.md) | Rakhi Singh, Angela Dean, Ashish Das et al. | 2 | cites it | | 2022-03-01 | [Employment Outcomes for Men and Women Following an Economic Downturn: Labour Underutilisation in Australia](https://doi.org/10.1007/s41027-022-00363-z) | [Indian Journal of Labour Economics](https://scholar4ai.com/journals/indian-journal-of-labour-economics.md) | Scott Baum, William F. Mitchell | 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). mlogit (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-mlogit ```bibtex @misc{scholar4ai-code-cran-mlogit, author = {{Scholar4AI}}, title = {mlogit (R package): papers linking to it}, year = {2026}, howpublished = {\url{https://scholar4ai.com/code/cran-mlogit}}, urldate = {2026-11-03}, note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).