---
title: "HRI (A*): papers and universities"
description: "HRI (ACM/IEEE International Conference on Human-Robot Interaction) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,216 of its papers from 2024–2026 (414 in 2024, 337 in 2025, 465 in 2026). By the countries of the authors' institutions, the most papers come from the United States (482), Germany (149) and the United Kingdom (129)."
url: https://scholar4ai.com/proceedings/hri
markdown_url: https://scholar4ai.com/proceedings/hri.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "HRI (ACM/IEEE International Conference on Human-Robot Interaction) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,216 of its papers from 2024–2026 (414 in 2024, 337 in 2025, 465 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)
---

# HRI: ACM/IEEE International Conference on Human-Robot Interaction — papers and institutions, 2024–2026

Papers of HRI, ACM/IEEE International Conference on Human-Robot Interaction (CORE rank A*; field: Human-centred computing, Artificial intelligence), 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

- HRI (ACM/IEEE International Conference on Human-Robot Interaction) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,216 of its papers from 2024–2026 (414 in 2024, 337 in 2025, 465 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (482), Germany (149) and the United Kingdom (129).
- The institutions with the most papers are Cornell University (39), KTH Royal Institute of Technology (38) and University of Wisconsin–Madison (34).
- Its most-cited paper of these years is “Understanding Large-Language Model (LLM)-powered Human-Robot Interaction” (2024), with 163 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 414 | 414 |
| 2025 | 337 | 323 |
| 2026 | 465 | 462 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4363608246](https://openalex.org/S4363608246) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | Cornell University | 39 |
| 2 | KTH Royal Institute of Technology | 38 |
| 3 | University of Wisconsin–Madison | 34 |
| 4 | Indiana University Bloomington | 33 |
| 5 | Carnegie Mellon University | 30 |
| 6 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 30 |
| 7 | George Mason University | 25 |
| 8 | Massachusetts Institute of Technology | 24 |
| 9 | Georgia Institute of Technology | 22 |
| 10 | Oregon State University | 22 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 482 |
| 2 | Germany | 149 |
| 3 | United Kingdom | 129 |
| 4 | Japan | 115 |
| 5 | Sweden | 95 |
| 6 | Australia | 68 |
| 7 | Netherlands | 60 |
| 8 | China | 46 |
| 9 | Italy | 45 |
| 10 | Canada | 43 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | human-robot interaction | 683 |
| 2 | social robots | 221 |
| 3 | human-robot collaboration | 96 |
| 4 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 88 |
| 5 | trust in robots | 70 |
| 6 | humanoid robots | 59 |
| 7 | robot design | 48 |
| 8 | older adults | 39 |
| 9 | assistive robotics | 38 |
| 10 | collaborative robots | 36 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 163 | [Understanding Large-Language Model (LLM)-powered Human-Robot Interaction](https://doi.org/10.1145/3610977.3634966) | 2024-03-10 | Callie Y. Kim, Christine P. Lee, Bilge Mutlu |
| 2 | 69 | [Encountering Autonomous Robots on Public Streets](https://doi.org/10.1145/3610977.3634936) | 2024-03-10 | Hannah R. M. Pelikan, Stuart Reeves, Marina Noelia Cantarutti |
| 3 | 61 | [Generative Expressive Robot Behaviors using Large Language Models](https://doi.org/10.1145/3610977.3634999) | 2024-03-10 | Karthik Mahadevan, Jonathan Chien, Noah Brown et al. |
| 4 | 43 | [Doodlebot: An Educational Robot for Creativity and AI Literacy](https://doi.org/10.1145/3610977.3634950) | 2024-03-10 | Randi Williams, Safinah Ali, Ronald Renz Alcantara et al. |
| 5 | 34 | [Alchemist: LLM-Aided End-User Development of Robot Applications](https://doi.org/10.1145/3610977.3634969) | 2024-03-10 | Ulas Berk Karli, Juo-Tung Chen, Victor Nikhil Antony et al. |
| 6 | 32 | [UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation](https://doi.org/10.1109/hri61500.2025.10974117) | 2025-03-04 | Oleg Sautenkov, Yasheerah Yaqoot, Artem Lykov et al. |
| 7 | 32 | [Applying General Turn-Taking Models to Conversational Human-Robot Interaction](https://doi.org/10.1109/hri61500.2025.10973958) | 2025-03-04 | Gabriel Skantze, Bahar Irfan |
| 8 | 30 | [Intelligent Humanoid Robots in Manufacturing](https://doi.org/10.1145/3610978.3640765) | 2024-03-10 | Ali Ahmad Malik, Tariq Masood, Alexander Brem |
| 9 | 30 | [A Taxonomy of Robot Autonomy for Human-Robot Interaction](https://doi.org/10.1145/3610977.3634993) | 2024-03-10 | Suzie Kim, Jacy Reese Anthis, Sarah Strohkorb Sebo |
| 10 | 29 | [A Multi-party Conversational Social Robot Using LLMs](https://doi.org/10.1145/3610978.3641112) | 2024-03-10 | Angus Addlesee, Neeraj Cherakara, Nivan Nelson et al. |

## Cite this page

Scholar4AI. (2026). HRI: ACM/IEEE International Conference on Human-Robot Interaction — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/hri

```bibtex
@misc{scholar4ai-proceedings-hri,
  author = {{Scholar4AI}},
  title = {HRI: ACM/IEEE International Conference on Human-Robot Interaction — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/hri}},
  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/).