oscarlib/oscar: papers linking to it
← Code and data repositories cited in research papers
Research papers in the 480 tracked journals that link to oscarlib/oscar (https://bitbucket.org/oscarlib/oscar), 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 Bitbucket repository oscarlib/oscar in their Crossref records, the first in 2020; most of them (2) in 2021.
- By category: Operations Research (3); the journals with the most are Journal of Scheduling (1), Mathematical Programming Computation (1) and European Journal of Operational Research (1).
By year#
20202021
| Year | Papers |
|---|---|
| 2020 | 1 |
| 2021 | 2 |
Journals#
| Journal | Papers |
|---|---|
| Journal of Scheduling | 1 |
| Mathematical Programming Computation | 1 |
| European Journal of Operational Research | 1 |
| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---|---|
| 2021-02-05 | MiniCP: a lightweight solver for constraint programming | Mathematical Programming Computation | Laurent D. Michel, Pierre Schaus, Pascal Van Hentenryck | 14 | cites it |
| 2020-02-15 | An Efficient Filtering Algorithm for the Unary Resource Constraint with Transition Times and Optional Activities | Journal of Scheduling | Sascha Van Cauwelaert, Cyrille Dejemeppe, Pierre Schaus | 4 | cites it |
| 2021-06-10 | Maximal-Sum submatrix search using a hybrid contraint programming/linear programming approach | European Journal of Operational Research | Guillaume Derval, Pierre Schaus | 3 | cites it |
How this is measured#
Cite this page
Scholar4AI. (2026). oscarlib/oscar: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/bitbucket-oscarlib-oscar
@misc{scholar4ai-code-bitbucket-oscarlib-oscar,
author = {{Scholar4AI}},
title = {oscarlib/oscar: papers linking to it},
year = {2026},
howpublished = {\url{https://scholar4ai.com/code/bitbucket-oscarlib-oscar}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}