Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

OOPSLA: ACM Conference on Object Oriented Programming Systems Languages and Applications — papers and institutions, 2024–2026

Papers of OOPSLA, ACM Conference on Object Oriented Programming Systems Languages and Applications (CORE rank A; field: Software engineering), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.

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Key findings#

  • OOPSLA (ACM Conference on Object Oriented Programming Systems Languages and Applications) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 535 of its papers from 2024–2026 (148 in 2024, 216 in 2025, 171 in 2026).
  • By the countries of the authors' institutions, the most papers come from the United States (245), China (105) and Germany (51).
  • The institutions with the most papers are Nanjing University (25), ETH Zurich (24) and University of Illinois Urbana-Champaign (18).
  • Its most-cited paper of these years is “Enhancing Static Analysis for Practical Bug Detection: An LLM-Integrated Approach” (2024), with 153 citations.

Papers per year#

OOPSLA papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
2024148148
2025216215
2026171171

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S4210216081Conference-linked journal (issue OOPSLA1, OOPSLA2)

Who publishes there#

Institutions with the most OOPSLA papers, 2024–2026
#InstitutionPapers
1Nanjing University25
2ETH Zurich24
3University of Illinois Urbana-Champaign18
4Hong Kong University of Science and Technology18
5Peking University18
6Carnegie Mellon University18
7The University of Texas at Austin18
8National University of Singapore16
9University of California San Diego15
10Cornell University14
Countries with the most OOPSLA papers, 2024–2026
#CountryPapers
1United States245
2China105
3Germany51
4United Kingdom51
5Switzerland43
6Canada32
7Hong Kong32
8France27
9Singapore27
10Australia18
Keywords with the most OOPSLA papers, 2024–2026
#KeywordPapers
1large language models31
2static analysis31
3compiler optimization30
4program verification29
5bug detection28
6type systems26
7formal verification24
8type soundness23
9Coq19
10program synthesis17

Most-cited papers#

Most-cited OOPSLA papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
1153Enhancing Static Analysis for Practical Bug Detection: An LLM-Integrated Approach2024-04-29Haonan Li, Hao Yu, Yizhuo Zhai et al.
283WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models2024-10-08Chenyuan Yang, Yinlin Deng, Runyu Lu et al.
343PyDex: Repairing Bugs in Introductory Python Assignments using LLMs2024-04-29Jialu Zhang, José Cambronero, Sumit Gulwani et al.
439Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs2024-10-08Federico Cassano, John Gouwar, Francesca Lucchetti et al.
538CYCLE: Learning to Self-Refine the Code Generation2024-04-29Yangruibo Ding, Marcus J. Min, Gail E. Kaiser et al.
632Cedar: A New Language for Expressive, Fast, Safe, and Analyzable Authorization2024-04-29Joseph W. Cutler, Craig Disselkoen, Aaron Eline et al.
728Drowzee: Metamorphic Testing for Fact-Conflicting Hallucination Detection in Large Language Models2024-10-08Ningke Li, Yuekang Li, Yi Liu et al.
823Quarl: A Learning-Based Quantum Circuit Optimizer2024-04-29Zikun Li, Jinjun Peng, Yixuan Mei et al.
920AutoVerus: Automated Proof Generation for Rust Code2025-10-09Chenyuan Yang, X. Li, Md Rakib Hossain Misu et al.
1018Synthetiq: Fast and Versatile Quantum Circuit Synthesis2024-04-29Anouk Paradis, Jasper Dekoninck, Benjamin Bichsel et al.

Conferences in the same field#

ICSE · ASE · ASPLOS · FSE · ISCA · PLDI · POPL · CAV · SIGMETRICS · DATE · ISSTA · MODELS · MSR · SANER · ICST · EASE · RE · ICSME · TACAS · ICPC · CGO · ESEM · ISSRE · BPM · ICFP · ICSA · IJCAR · SEAMS · ECOOP

Cite this page

Scholar4AI. (2026). OOPSLA: ACM Conference on Object Oriented Programming Systems Languages and Applications — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/oopsla

@misc{scholar4ai-proceedings-oopsla,
  author = {{Scholar4AI}},
  title = {OOPSLA: ACM Conference on Object Oriented Programming Systems Languages and Applications — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/oopsla}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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