---
title: "SIGMETRICS (A*): papers and universities"
description: "SIGMETRICS (Measurement and Modeling of Computer Systems) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 165 of its papers from 2024–2026 (48 in 2024, 66 in 2025, 51 in 2026). By the countries of the authors' institutions, the most papers come from the United States (97), China (37) and the United Kingdom (15)."
url: https://scholar4ai.com/proceedings/sigmetrics
markdown_url: https://scholar4ai.com/proceedings/sigmetrics.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "SIGMETRICS (Measurement and Modeling of Computer Systems) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 165 of its papers from 2024–2026 (48 in 2024, 66 in 2025, 51 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)
---

# SIGMETRICS: Measurement and Modeling of Computer Systems — papers and institutions, 2024–2026

Papers of SIGMETRICS, Measurement and Modeling of Computer Systems (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.

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

## Key findings

- SIGMETRICS (Measurement and Modeling of Computer Systems) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 165 of its papers from 2024–2026 (48 in 2024, 66 in 2025, 51 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (97), China (37) and the United Kingdom (15).
- The institutions with the most papers are University of Massachusetts Amherst (11), Carnegie Mellon University (10) and Institut national de recherche en sciences et technologies du numérique (8).
- Its most-cited paper of these years is “NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation” (2024), with 65 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 48 | 48 |
| 2025 | 66 | 66 |
| 2026 | 51 | 50 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4210193547](https://openalex.org/S4210193547) | Conference-linked journal |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | University of Massachusetts Amherst | 11 |
| 2 | Carnegie Mellon University | 10 |
| 3 | Institut national de recherche en sciences et technologies du numérique | 8 |
| 4 | Cornell University | 8 |
| 5 | Northeastern University | 7 |
| 6 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 7 |
| 7 | IMDEA Networks | 6 |
| 8 | University of Chicago | 6 |
| 9 | The Hong Kong University of Science and Technology (Guangzhou) | 6 |
| 10 | [Huazhong University of Science and Technology](https://scholar4ai.com/institutions/huazhong-university-of-science-and-technology.md) | 6 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 97 |
| 2 | China | 37 |
| 3 | United Kingdom | 15 |
| 4 | France | 14 |
| 5 | Germany | 11 |
| 6 | Spain | 9 |
| 7 | Canada | 8 |
| 8 | South Korea | 8 |
| 9 | Netherlands | 7 |
| 10 | Belgium | 6 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | performance evaluation | 9 |
| 2 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 7 |
| 3 | Starlink | 6 |
| 4 | energy efficiency | 6 |
| 5 | competitive ratio | 5 |
| 6 | learning-augmented algorithms | 5 |
| 7 | paper selection | 5 |
| 8 | resource allocation | 5 |
| 9 | Ethereum | 4 |
| 10 | M/G/1 queue | 4 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 65 | [NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation](https://doi.org/10.1145/3639037) | 2024-02-16 | Xi Jiang, Shinan Liu, Aaron Gember-Jacobson et al. |
| 2 | 52 | [Democratizing LEO Satellite Network Measurement](https://doi.org/10.1145/3639039) | 2024-02-16 | Liz Izhikevich, Manda Tran, Katherine Izhikevich et al. |
| 3 | 39 | [Confidential VMs Explained: An Empirical Analysis of AMD SEV-SNP and Intel TDX](https://doi.org/10.1145/3700418) | 2024-12-10 | Masanori Misono, Dimitrios Stavrakakis, Nuno Santos et al. |
| 4 | 33 | [A Closer Look into IPFS: Accessibility, Content, and Performance](https://doi.org/10.1145/3656015) | 2024-05-21 | Ruizhe Shi, Ruizhi Cheng, Bo Han et al. |
| 5 | 23 | [Fair Resource Allocation in Virtualized O-RAN Platforms](https://doi.org/10.1145/3639043) | 2024-02-16 | Fatih Aslan, George Iosifidis, Jose A. Ayala‐Romero et al. |
| 6 | 21 | [A Global Perspective on the Past, Present, and Future of Video Streaming over Starlink](https://doi.org/10.1145/3700412) | 2024-12-10 | Liz Izhikevich, Theresa Enghardt, Te-Yuan Huang et al. |
| 7 | 17 | [Scalability Limitations of Processing-in-Memory using Real System Evaluations](https://doi.org/10.1145/3639046) | 2024-02-16 | Gilbert Jonatan, Haeyoon Cho, Hyojun Son et al. |
| 8 | 15 | [PyGim : An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures](https://doi.org/10.1145/3700434) | 2024-12-10 | Christina Giannoula, Peiming Yang, Ivan Fernandez et al. |
| 9 | 13 | [FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets](https://doi.org/10.1145/3727115) | 2025-05-27 | Rushi Jayeshkumar Babaria, Minzhao Lyu, Gustavo Batista et al. |
| 10 | 13 | [The Tale of Errors in Microservices](https://doi.org/10.1145/3700436) | 2024-12-10 | I-Ting Angelina Lee, Zhizhou Zhang, Abhishek Parwal et al. |

## Cite this page

Scholar4AI. (2026). SIGMETRICS: Measurement and Modeling of Computer Systems — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/sigmetrics

```bibtex
@misc{scholar4ai-proceedings-sigmetrics,
  author = {{Scholar4AI}},
  title = {SIGMETRICS: Measurement and Modeling of Computer Systems — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/sigmetrics}},
  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/).