Data Expo 2009: Airline on time data: papers linking to it
← Code and data repositories cited in research papers
Research papers in the 480 tracked journals that link to Data Expo 2009: Airline on time data (https://doi.org/10.7910/DVN/HG7NV7), 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 the Harvard Dataverse dataset Data Expo 2009: Airline on time data in their Crossref records, the first in 2023; most of them (1) in 2026.
- By category: Statistics (3); the journals with the most are Statistics and Computing (2) and Computational Statistics (1).
By year#
20232026
| Year | Papers |
|---|---|
| 2023 | 1 |
| 2024 | 1 |
| 2026 | 1 |
Journals#
| Journal | Papers |
|---|---|
| Statistics and Computing | 2 |
| Computational Statistics | 1 |
| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---|---|
| 2023-07-19 | Generalized linear models for massive data via doubly-sketching | Statistics and Computing | Jason Hou-Liu, Ryan P. Browne | 3 | cites it |
| 2024-06-21 | Bounded-memory adjusted scores estimation in generalized linear models with large data sets | Statistics and Computing | Patrick Zietkiewicz, Ioannis Kosmidis | 0 | cites it |
| 2026-07-02 | On exhaustive sufficient dimension reduction methods for massive datasets | Computational Statistics | Chaehyun Ryu, K H Lee, Kyongwon Kim | 0 | cites it |
How this is measured#
Cite this page
Scholar4AI. (2026). Data Expo 2009: Airline on time data: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/dataverse-hg7nv7
@misc{scholar4ai-code-dataverse-hg7nv7,
author = {{Scholar4AI}},
title = {Data Expo 2009: Airline on time data: papers linking to it},
year = {2026},
howpublished = {\url{https://scholar4ai.com/code/dataverse-hg7nv7}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}