Intel-bigdata/HiBench: papers linking to it

GitHub · 1,483 stars · 763 forks · Java · created 2012 · archived · github.com/Intel-bigdata/HiBench

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to Intel-bigdata/HiBench (https://github.com/Intel-bigdata/HiBench), 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 Intel-bigdata/HiBench in their Crossref records, the first in 2019; most of them (1) in 2022.
By category: AI (4); the journals with the most are Journal Of Big Data (4).
3 of the papers build on one another: a later paper cites an earlier one that also links Intel-bigdata/HiBench.

By year#

20192022

Papers linking to Intel-bigdata/HiBench by publication year
Year	Papers
2019	1
2020	1
2021	1
2022	1

Journals#

Journals whose papers link to Intel-bigdata/HiBench most
Journal	Papers
Journal Of Big Data	4

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.

A comprehensive performance analysis of Apache Hadoop and Apache Spark for large scale data sets using HiBench Journal Of Big Data, 2020
- A parallelization model for performance characterization of Spark Big Data jobs on Hadoop clusters Journal Of Big Data, 2021 — cites the paper above
  - Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models Journal Of Big Data, 2022 — cites the paper above

Papers linking to Intel-bigdata/HiBench, most cited first
Published	Title	Journal	Authors	Citations	Link
2019-06-06	Big data stream analysis: a systematic literature review	Journal Of Big Data	Taiwo Kolajo, Olawande J. Daramola, Ayodele Ariyo Adebiyi	259	cites it
2020-12-01	A comprehensive performance analysis of Apache Hadoop and Apache Spark for large scale data sets using HiBench	Journal Of Big Data	Nasim Ahmed, Andre L. C. Barczak, Teo Sušnjak et al.	107	cites it
2022-05-19	Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models	Journal Of Big Data	Nasim Ahmed, Andre L. C. Barczak, Mohammad A. Rashid et al.	28	cites it
2021-08-14	A parallelization model for performance characterization of Spark Big Data jobs on Hadoop clusters	Journal Of Big Data	Nasim Ahmed, Andre L. C. Barczak, Mohammad A. Rashid et al.	22	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). Intel-bigdata/HiBench: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-intel-bigdata-hibench

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

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