Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

sentimentr (R package): papers linking to it

CRAN · CRAN.R-project.org/package=sentimentr

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to sentimentr (R package) (https://CRAN.R-project.org/package=sentimentr), 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.

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Key findings#

  • 9 papers in the tracked journals link to sentimentr (R package) in their Crossref records, the first in 2019; most of them (2) in 2026.
  • By category: Operations Research (3), Management (2) and Higher Education and Research (2); the journals with the most are Public Transport (2), Scientometrics (2) and Technological Forecasting and Social Change (1).
  • 2 of the papers build on one another: a later paper cites an earlier one that also links sentimentr (R package).

By year#

2019: 1 paper2021: 1 paper2022: 2 papers2023: 2 papers2024: 1 paper2026: 2 papers
20192026
Papers linking to sentimentr (R package) by publication year
YearPapers
20191
20211
20222
20232
20241
20262

Journals#

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.

Papers linking to sentimentr (R package), most cited first
PublishedTitleJournalAuthorsCitationsLink
2021-02-28Exploring the drivers of customers’ brand attitudes of online travel agency services: A text-mining based approachJournal of Business ResearchArghya Ray, Pradip Kumar Bala, Nripendra Pratap Rana74cites it
2019-08-12The impact of host race and gender on prices on AirbnbJournal of Housing EconomicsAnya Marchenko38cites it
2022-10-01Is academic writing becoming more positive? A large-scale diachronic case study of Science research articles across 25 yearsScientometricsZhou-min Yuan, Mingxin Yao33cites it
2022-02-22Decoding customer experiences in rail transport service: application of hybrid sentiment analysisPublic TransportDibya Nandan Mishra, Rajeev Kumar Panda21cites it
2024-09-12Natural language processing for participatory corporate foresight: The participant input analyzer for identifying biases and fallaciesTechnological Forecasting and Social ChangeJörg M. Delhaes, Ana Vieira, Mónica Duarte Oliveira10cites it
2023-04-20SentiHawkes: a sentiment-aware Hawkes point process to model service quality of public transport using Twitter dataPublic TransportMohammad Masoud Rahimi, Elham Naghizade, Mark Stevenson et al.3cites it
2023-01-22Words matter: how ecologists discuss managed and non-managed bees and birdsScientometricsMagda P. Argueta-Guzmán, Mari West, Marília Palumbo Gaiarsa et al.0cites it
2026-07-10Investor emotions and fundraising performance of initial coin offerings: a lexicon based sentiment analysis of public tweetsFinancial InnovationNishanth Bhimireddy, Yannis Pierrakis, Riccardo Vecchiato0cites it
2026-09-02Ready to begin: driving towards the best and steering away from the worst in road pricing policy reformTransportation Research Part A Policy and PracticeMatthew J. Beck, Michiel C.J. Bliemer, John Matthew Rose0cites 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). sentimentr (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-sentimentr

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).