---
title: "DATE (A): papers and universities"
description: "DATE (Design, Automation and Test in Europe Conference) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,303 of its papers from 2024–2026 (397 in 2024, 444 in 2025, 462 in 2026). By the countries of the authors' institutions, the most papers come from China (419), the United States (303) and Germany (176)."
url: https://scholar4ai.com/proceedings/date
markdown_url: https://scholar4ai.com/proceedings/date.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "DATE (Design, Automation and Test in Europe Conference) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,303 of its papers from 2024–2026 (397 in 2024, 444 in 2025, 462 in 2026). (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# DATE: Design, Automation and Test in Europe Conference — papers and institutions, 2024–2026

Papers of DATE, Design, Automation and Test in Europe Conference (CORE rank A; field: Computer science (general), 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.

All conferences: https://scholar4ai.com/proceedings.md

## Key findings

- DATE (Design, Automation and Test in Europe Conference) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,303 of its papers from 2024–2026 (397 in 2024, 444 in 2025, 462 in 2026).
- By the countries of the authors' institutions, the most papers come from China (419), the United States (303) and Germany (176).
- The institutions with the most papers are Shanghai Jiao Tong University (54), Technical University of Munich (53) and Peking University (49).
- Its most-cited paper of these years is “LLM-Guided Formal Verification Coupled with Mutation Testing” (2024), with 43 citations.

## Papers per year

*DATE papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 397 | 375 |
| 2025 | 444 | 422 |
| 2026 | 462 | 442 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4306418181](https://openalex.org/S4306418181) | The conference's proceedings |

## Who publishes there

*Institutions with the most DATE papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 54 |
| 2 | Technical University of Munich | 53 |
| 3 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 49 |
| 4 | Chinese University of Hong Kong | 37 |
| 5 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 35 |
| 6 | [Fudan University](https://scholar4ai.com/institutions/fudan-university.md) | 35 |
| 7 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 34 |
| 8 | Karlsruhe Institute of Technology | 33 |
| 9 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 32 |
| 10 | Hong Kong University of Science and Technology | 31 |

*Countries with the most DATE papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 419 |
| 2 | United States | 303 |
| 3 | Germany | 176 |
| 4 | South Korea | 97 |
| 5 | Italy | 89 |
| 6 | Hong Kong | 77 |
| 7 | France | 62 |
| 8 | Switzerland | 48 |
| 9 | United Kingdom | 37 |
| 10 | Greece | 37 |

*Keywords with the most DATE papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | energy efficiency | 181 |
| 2 | in-memory computing | 96 |
| 3 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 65 |
| 4 | RISC-V | 47 |
| 5 | hardware security | 46 |
| 6 | hardware accelerators | 43 |
| 7 | design space exploration | 39 |
| 8 | edge computing | 35 |
| 9 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 33 |
| 10 | hardware-software co-design | 33 |

## Most-cited papers

*Most-cited DATE papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 43 | [LLM-Guided Formal Verification Coupled with Mutation Testing](https://doi.org/10.23919/date58400.2024.10546729) | 2024-03-25 | Muhammad Hassan, Sallar Ahmadi-Pour, Khushboo Qayyum et al. |
| 2 | 28 | [Beyond Random Inputs: A Novel ML-Based Hardware Fuzzing](https://doi.org/10.23919/date58400.2024.10546625) | 2024-03-25 | Mohamadreza Rostami, Marco Chilese, Shaza Zeitouni et al. |
| 3 | 27 | [Alleviating Barren Plateaus in Parameterized Quantum Machine Learning Circuits: Investigating Advanced Parameter Initialization Strategies](https://doi.org/10.23919/date58400.2024.10546644) | 2024-03-25 | Muhammad Kashif, Muhammad Rashid, Saif M. Al-Kuwari et al. |
| 4 | 26 | [LLM-based Processor Verification: A Case Study for Neuromorphic Processor](https://doi.org/10.23919/date58400.2024.10546707) | 2024-03-25 | Chao Xiao, Yifei Deng, Zhijie Yang et al. |
| 5 | 24 | [HaVen: Hallucination-Mitigated LLM for Verilog Code Generation Aligned with HDL Engineers](https://doi.org/10.23919/date64628.2025.10993072) | 2025-03-31 | Yiyao Yang, Fu Teng, Pengju Liu et al. |
| 6 | 21 | [CorrectBench: Automatic Testbench Generation with Functional Self-Correction using LLMs for HDL Design](https://doi.org/10.23919/date64628.2025.10992873) | 2025-03-31 | Ruidi Qiu, Grace Li Zhang, Rolf Drechsler et al. |
| 7 | 21 | [DeepSeq: Deep Sequential Circuit Learning](https://doi.org/10.23919/date58400.2024.10546639) | 2024-03-25 | Sadaf Khan, Zhengyuan Shi, Min Li et al. |
| 8 | 21 | [A Data-Driven Analog Circuit Synthesizer with Automatic Topology Selection and Sizing](https://doi.org/10.23919/date58400.2024.10546840) | 2024-03-25 | Souradip Poddar, Ahmet F. Budak, Linran Zhao et al. |
| 9 | 19 | [MABFuzz: Multi-Armed Bandit Algorithms for Fuzzing Processors](https://doi.org/10.23919/date58400.2024.10546726) | 2024-03-25 | Vasudev Gohil, Rahul Kande, Chen Chen et al. |
| 10 | 17 | [Heterogeneous Static Timing Analysis with Advanced Delay Calculator](https://doi.org/10.23919/date58400.2024.10546507) | 2024-03-25 | Zizheng Guo, Tsung‐Wei Huang, Zhou Jin et al. |

## Cite this page

Scholar4AI. (2026). DATE: Design, Automation and Test in Europe Conference — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/date

```bibtex
@misc{scholar4ai-proceedings-date,
  author = {{Scholar4AI}},
  title = {DATE: Design, Automation and Test in Europe Conference — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/date}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).