---
title: "CoNEXT (A): papers and universities"
description: "CoNEXT (ACM International Conference on Emerging Networking Experiments and Technologies) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 127 of its papers from 2024–2026 (36 in 2024, 54 in 2025, 37 in 2026). By the countries of the authors' institutions, the most papers come from the United States (69), China (25) and Germany (21)."
url: https://scholar4ai.com/proceedings/conext
markdown_url: https://scholar4ai.com/proceedings/conext.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "CoNEXT (ACM International Conference on Emerging Networking Experiments and Technologies) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 127 of its papers from 2024–2026 (36 in 2024, 54 in 2025… (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)
---

# CoNEXT: ACM International Conference on Emerging Networking Experiments and Technologies — papers and institutions, 2024–2026

Papers of CoNEXT, ACM International Conference on Emerging Networking Experiments and Technologies (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

- CoNEXT (ACM International Conference on Emerging Networking Experiments and Technologies) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 127 of its papers from 2024–2026 (36 in 2024, 54 in 2025, 37 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (69), China (25) and Germany (21).
- The institutions with the most papers are Politecnico di Torino (13), Carnegie Mellon University (8) and Tsinghua University (8).
- Its most-cited paper of these years is “NetConfEval: Can LLMs Facilitate Network Configuration?” (2024), with 97 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 36 | 36 |
| 2025 | 54 | 54 |
| 2026 | 37 | 36 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4387290834](https://openalex.org/S4387290834) | Conference-linked journal (issue CoNEXT1, CoNEXT2, CoNEXT3, CoNEXT4) |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | Politecnico di Torino | 13 |
| 2 | Carnegie Mellon University | 8 |
| 3 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 8 |
| 4 | Max Planck Institute for Informatics | 7 |
| 5 | Technical University of Munich | 7 |
| 6 | Meta (United States) | 6 |
| 7 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 5 |
| 8 | University of Illinois Urbana-Champaign | 5 |
| 9 | Purdue University West Lafayette | 5 |
| 10 | The University of Texas at Austin | 5 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 69 |
| 2 | China | 25 |
| 3 | Germany | 21 |
| 4 | Italy | 18 |
| 5 | France | 13 |
| 6 | United Kingdom | 8 |
| 7 | Spain | 6 |
| 8 | Hong Kong | 6 |
| 9 | South Korea | 6 |
| 10 | Belgium | 5 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | network measurement | 8 |
| 2 | congestion control | 7 |
| 3 | SmartNIC | 6 |
| 4 | data center networks | 6 |
| 5 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 6 |
| 6 | quality of experience | 6 |
| 7 | video streaming | 6 |
| 8 | 5G | 5 |
| 9 | data plane | 5 |
| 10 | live streaming | 5 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 97 | [NetConfEval: Can LLMs Facilitate Network Configuration?](https://doi.org/10.1145/3656296) | 2024-06-13 | Changjie Wang, Mariano Scazzariello, Alireza Farshin et al. |
| 2 | 44 | [NetDiff: A Service-Guided Hierarchical Diffusion Model for Network Flow Trace Generation](https://doi.org/10.1145/3676870) | 2024-08-18 | Shiyuan Zhang, Tong Li, Depeng Jin et al. |
| 3 | 19 | [A Systematic Comparison of Large Language Models Performance for Intrusion Detection](https://doi.org/10.1145/3696379) | 2024-11-25 | Minh-Thanh Bui, Matteo Boffa, Rodolfo Valentim et al. |
| 4 | 11 | [Vivisecting Beam Management in Operational 5G mmWave Networks](https://doi.org/10.1145/3730982) | 2025-06-08 | Yufei Feng, Phuc Dinh, Moinak Ghoshal et al. |
| 5 | 9 | [An Empirical Analysis of the Nostr Social Network: Decentralization, Availability, and Replication Overhead](https://doi.org/10.1145/3768994) | 2025-11-24 | Yiluo Wei, Gareth Tyson A |
| 6 | 9 | [Demystifying Performance of eBPF Network Applications](https://doi.org/10.1145/3749216) | 2025-09-03 | Farbod Shahinfar, Sebastiano Miano, Aurojit Panda et al. |
| 7 | 8 | [Maestro: QoE-Aware Dynamic Resource Allocation in Wi-Fi Networks](https://doi.org/10.1145/3709371) | 2025-03-05 | Umakant Kulkarni, Khaled Diab, Lianjie Cao et al. |
| 8 | 8 | [RECC: Joint Congestion Control Based on RTT and ECN for High-speed RDMA Networks](https://doi.org/10.1145/3696402) | 2024-11-25 | Zirui Wan, Jiao Zhang, Haoran Wei et al. |
| 9 | 7 | [Waiting for QUIC: Passive Measurements to Understand QUIC Deployments](https://doi.org/10.1145/3768988) | 2025-11-24 | Jonas Mücke, Marcin Nawrocki, Raphael Hiesgen et al. |
| 10 | 7 | [Vivisecting Starlink Throughput: Measurement and Prediction](https://doi.org/10.1145/3768971) | 2025-11-24 | Zikun Liu, Fan-Xue Gabriella Reidys, Sarah Tanveer et al. |

## Cite this page

Scholar4AI. (2026). CoNEXT: ACM International Conference on Emerging Networking Experiments and Technologies — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/conext

```bibtex
@misc{scholar4ai-proceedings-conext,
  author = {{Scholar4AI}},
  title = {CoNEXT: ACM International Conference on Emerging Networking Experiments and Technologies — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/conext}},
  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/).