---
title: "RTAS (A): papers and universities"
description: "RTAS (IEEE Real-Time and Embedded Technology and Applications Symposium) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 131 of its papers from 2024–2026 (44 in 2024, 44 in 2025, 43 in 2026). By the countries of the authors' institutions, the most papers come from the United States (48), Germany (32) and China (10)."
url: https://scholar4ai.com/proceedings/rtas
markdown_url: https://scholar4ai.com/proceedings/rtas.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "RTAS (IEEE Real-Time and Embedded Technology and Applications Symposium) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 131 of its papers from 2024–2026 (44 in 2024, 44 in 2025, 43 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)
---

# RTAS: IEEE Real-Time and Embedded Technology and Applications Symposium — papers and institutions, 2024–2026

Papers of RTAS, IEEE Real-Time and Embedded Technology and Applications Symposium (CORE rank A; field: Distributed computing and systems software), 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

- RTAS (IEEE Real-Time and Embedded Technology and Applications Symposium) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 131 of its papers from 2024–2026 (44 in 2024, 44 in 2025, 43 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (48), Germany (32) and China (10).
- The institutions with the most papers are TU Dortmund University (9), Washington University in St. Louis (9) and Scuola Superiore Sant'Anna (5).
- Its most-cited paper of these years is “Real-Time Scheduling for 802.1Qbv Time-Sensitive Networking (TSN): A Systematic Review and Experimental Study” (2024), with 61 citations.
- OpenAlex has affiliations for only 82% of its papers, so the institution and country counts are incomplete.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 44 | 35 |
| 2025 | 44 | 37 |
| 2026 | 43 | 35 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4210197441](https://openalex.org/S4210197441) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | TU Dortmund University | 9 |
| 2 | Washington University in St. Louis | 9 |
| 3 | Scuola Superiore Sant'Anna | 5 |
| 4 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 5 |
| 5 | Technical University of Munich | 5 |
| 6 | University of Notre Dame | 4 |
| 7 | University of North Carolina at Chapel Hill | 4 |
| 8 | North Carolina State University | 4 |
| 9 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 3 |
| 10 | University of Waterloo | 3 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 48 |
| 2 | Germany | 32 |
| 3 | China | 10 |
| 4 | France | 9 |
| 5 | Sweden | 9 |
| 6 | Canada | 6 |
| 7 | United Kingdom | 6 |
| 8 | Italy | 6 |
| 9 | South Korea | 6 |
| 10 | Switzerland | 3 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | real-time systems | 18 |
| 2 | cyber-physical systems | 14 |
| 3 | real-time scheduling | 13 |
| 4 | embedded systems | 10 |
| 5 | safety-critical systems | 10 |
| 6 | ROS2 | 8 |
| 7 | schedulability | 8 |
| 8 | resource allocation | 6 |
| 9 | schedulability analysis | 6 |
| 10 | autonomous vehicles | 5 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 61 | [Real-Time Scheduling for 802.1Qbv Time-Sensitive Networking (TSN): A Systematic Review and Experimental Study](https://doi.org/10.1109/rtas61025.2024.00017) | 2024-05-13 | Chuanyu Xue, Tianyu Zhang, Yuanbin Zhou et al. |
| 2 | 20 | [End-To-End Timing Analysis and Optimization of Multi-Executor ROS 2 Systems](https://doi.org/10.1109/rtas61025.2024.00025) | 2024-05-13 | Harun Teper, Tobias Betz, Mario Günzel et al. |
| 3 | 17 | [Demystifying NVIDIA GPU Internals to Enable Reliable GPU Management](https://doi.org/10.1109/rtas61025.2024.00031) | 2024-05-13 | Joshua Bakita, James H. Anderson |
| 4 | 13 | [An Empirical Study of Performance Interference: Timing Violation Patterns and Impacts](https://doi.org/10.1109/rtas61025.2024.00033) | 2024-05-13 | Ao Li, Jinwen Wang, Sanjoy Baruah et al. |
| 5 | 9 | [PAAM: A Framework for Coordinated and Priority-Driven Accelerator Management in ROS 2](https://doi.org/10.1109/rtas61025.2024.00015) | 2024-05-13 | Daniel Enright, Yecheng Xiang, Hyunjong Choi et al. |
| 6 | 9 | [Strict Partitioning for Sporadic Rigid Gang Tasks](https://doi.org/10.1109/rtas61025.2024.00028) | 2024-05-13 | Binqi Sun, Tomasz Kloda, Marco Caccamo |
| 7 | 8 | [Reconciling ROS 2 with Classical Real-Time Scheduling of Periodic Tasks](https://doi.org/10.1109/rtas65571.2025.00027) | 2025-05-06 | Harun Teper, Oren Bell, Mario Günzel et al. |
| 8 | 8 | [Optimizing Logical Execution Time Model for Both Determinism and Low Latency](https://doi.org/10.1109/rtas61025.2024.00019) | 2024-05-13 | Sen Wang, Dong Li, Ashrarul H. Sifat et al. |
| 9 | 8 | [Sync or Sink? The Robustness of Sensor Fusion Against Temporal Misalignment](https://doi.org/10.1109/rtas61025.2024.00018) | 2024-05-13 | Daniel Kuhse, Nils Hölscher, Mario Günzel et al. |
| 10 | 8 | [Algorithms for Canvas-Based Attention Scheduling with Resizing](https://doi.org/10.1109/rtas61025.2024.00035) | 2024-05-13 | Y. Charlie Hu, Ila Gokarn, Shengzhong Liu et al. |

## Cite this page

Scholar4AI. (2026). RTAS: IEEE Real-Time and Embedded Technology and Applications Symposium — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/rtas

```bibtex
@misc{scholar4ai-proceedings-rtas,
  author = {{Scholar4AI}},
  title = {RTAS: IEEE Real-Time and Embedded Technology and Applications Symposium — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/rtas}},
  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/).