meta/rocksdb: papers linking to it
← Code and data repositories cited in research papers
Research papers in the 480 tracked journals that link to meta/rocksdb (https://github.com/meta/rocksdb), 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 GitHub repository meta/rocksdb in their Crossref records, the first in 2023; most of them (1) in 2026.
- By category: AI (2) and Operations Research (1); the journals with the most are Journal Of Big Data (2) and Queueing Systems (1).
By year#
20232026
| Year | Papers |
|---|---|
| 2023 | 1 |
| 2025 | 1 |
| 2026 | 1 |
Journals#
| Journal | Papers |
|---|---|
| Journal Of Big Data | 2 |
| Queueing Systems | 1 |
| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---|---|
| 2023-04-23 | Comparison of LSM indexing techniques for storing spatial data | Journal Of Big Data | Qizhong Mao, Mohiuddin Abdul Qader, Vagelis Hristidis | 11 | cites it |
| 2025-11-14 | Enhancing LSM trees merge efficiency via coordinated sorted runs partitioning | Journal Of Big Data | Qizhong Mao, Vagelis Hristidis | 1 | cites it |
| 2026-04-20 | Why increasing the hit ratio can hurt cache throughput | Queueing Systems | Ziyue Qiu, Juncheng Yang, Mor Harchol‐Balter | 0 | cites it |
How this is measured#
Cite this page
Scholar4AI. (2026). meta/rocksdb: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-meta-rocksdb
@misc{scholar4ai-code-github-meta-rocksdb,
author = {{Scholar4AI}},
title = {meta/rocksdb: papers linking to it},
year = {2026},
howpublished = {\url{https://scholar4ai.com/code/github-meta-rocksdb}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}