---
title: "MobiSys (A): papers and universities"
description: "MobiSys (ACM SIGMOBILE International Conference on Mobile Systems, Applications and Services) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 362 of its papers from 2024–2026 (129 in 2024, 93 in 2025, 140 in 2026). By the countries of the authors' institutions, the most papers come from the United States (140), China (76) and South Korea (40)."
url: https://scholar4ai.com/proceedings/mobisys
markdown_url: https://scholar4ai.com/proceedings/mobisys.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "MobiSys (ACM SIGMOBILE International Conference on Mobile Systems, Applications and Services) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 362 of its papers from 2024–2026 (129 in 2024, 93 in… (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)
---

# MobiSys: ACM SIGMOBILE International Conference on Mobile Systems, Applications and Services — papers and institutions, 2024–2026

Papers of MobiSys, ACM SIGMOBILE International Conference on Mobile Systems, Applications and Services (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

- MobiSys (ACM SIGMOBILE International Conference on Mobile Systems, Applications and Services) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 362 of its papers from 2024–2026 (129 in 2024, 93 in 2025, 140 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (140), China (76) and South Korea (40).
- The institutions with the most papers are Tsinghua University (20), Keio University (14) and Korea Advanced Institute of Science and Technology (13).
- Its most-cited paper of these years is “UWB-Fi: Pushing Wi-Fi towards Ultra-wideband for Fine-Granularity Sensing” (2024), with 41 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 129 | 128 |
| 2025 | 93 | 90 |
| 2026 | 140 | 138 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4306419689](https://openalex.org/S4306419689) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 20 |
| 2 | Keio University | 14 |
| 3 | Korea Advanced Institute of Science and Technology | 13 |
| 4 | University of Massachusetts Amherst | 12 |
| 5 | [Seoul National University](https://scholar4ai.com/institutions/seoul-national-university.md) | 11 |
| 6 | [City University of Hong Kong](https://scholar4ai.com/institutions/city-university-of-hong-kong.md) | 11 |
| 7 | [National University of Singapore](https://scholar4ai.com/institutions/national-university-of-singapore.md) | 10 |
| 8 | University of Cambridge | 10 |
| 9 | [Nanyang Technological University](https://scholar4ai.com/institutions/nanyang-technological-university.md) | 9 |
| 10 | [Yonsei University](https://scholar4ai.com/institutions/yonsei-university.md) | 9 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 140 |
| 2 | China | 76 |
| 3 | South Korea | 40 |
| 4 | Hong Kong | 32 |
| 5 | Japan | 31 |
| 6 | Singapore | 25 |
| 7 | United Kingdom | 22 |
| 8 | Germany | 9 |
| 9 | India | 9 |
| 10 | Spain | 8 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | edge computing | 30 |
| 2 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 27 |
| 3 | mobile devices | 17 |
| 4 | Internet of Things | 14 |
| 5 | energy efficiency | 14 |
| 6 | resource-constrained devices | 12 |
| 7 | edge devices | 10 |
| 8 | wearable sensors | 9 |
| 9 | LoRa | 8 |
| 10 | channel state information | 8 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 41 | [UWB-Fi: Pushing Wi-Fi towards Ultra-wideband for Fine-Granularity Sensing](https://doi.org/10.1145/3643832.3661889) | 2024-06-03 | Xin Li, H. Wang, Zhe Chen et al. |
| 2 | 34 | [OrchLoc: In-Orchard Localization via a Single LoRa Gateway and Generative Diffusion Model-based Fingerprinting](https://doi.org/10.1145/3643832.3661876) | 2024-06-03 | Kang Yang, Yuning Chen, Wan Du |
| 3 | 29 | [FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients](https://doi.org/10.1145/3643832.3661880) | 2024-06-03 | Leming Shen, Qiang Yang, Kaiyan Cui et al. |
| 4 | 27 | [Pantheon: Preemptible Multi-DNN Inference on Mobile Edge GPUs](https://doi.org/10.1145/3643832.3661878) | 2024-06-03 | Lixiang Han, Zimu Zhou, Zhenjiang Li |
| 5 | 26 | [ChirpTransformer: Versatile LoRa Encoding for Low-power Wide-area IoT](https://doi.org/10.1145/3643832.3661861) | 2024-06-03 | Chenning Li, Yidong Ren, Shuai Tong et al. |
| 6 | 25 | [MobiAir: Unleashing Sensor Mobility for City-scale and Fine-grained Air-Quality Monitoring with AirBERT](https://doi.org/10.1145/3643832.3661872) | 2024-06-03 | Yuxuan Liu, Haoyang Wang, Fanhang Man et al. |
| 7 | 24 | [Theia: Gaze-driven and Perception-aware Volumetric Content Delivery for Mixed Reality Headsets](https://doi.org/10.1145/3643832.3661858) | 2024-06-03 | Nan Wu, Kaiyan Liu, Ruizhi Cheng et al. |
| 8 | 24 | [F 2 Key: Dynamically Converting Your Face into a Private Key Based on COTS Headphones for Reliable Voice Interaction](https://doi.org/10.1145/3643832.3661860) | 2024-06-03 | Di Duan, Zehua Sun, Tao Ni et al. |
| 9 | 18 | [Radarize: Enhancing Radar SLAM with Generalizable Doppler-Based Odometry](https://doi.org/10.1145/3643832.3661871) | 2024-06-03 | Emerson Sie, Xinyu Wu, Heyu Guo et al. |
| 10 | 18 | [Enhancing mmWave Radar Sensing Using a Phased-MIMO Architecture](https://doi.org/10.1145/3643832.3661865) | 2024-06-03 | Kai Zheng, Wuqiong Zhao, Timothy Woodford et al. |

## Cite this page

Scholar4AI. (2026). MobiSys: ACM SIGMOBILE International Conference on Mobile Systems, Applications and Services — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/mobisys

```bibtex
@misc{scholar4ai-proceedings-mobisys,
  author = {{Scholar4AI}},
  title = {MobiSys: ACM SIGMOBILE International Conference on Mobile Systems, Applications and Services — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/mobisys}},
  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/).