---
title: "UMAP (A): papers and universities"
description: "UMAP (International Conference on User Modelling, Adaptation, and Personalization (was AH and UM)) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 415 of its papers from 2024–2026 (143 in 2024, 148 in 2025, 124 in 2026). By the countries of the authors' institutions, the most papers come from Italy (111), the United States (75) and the Netherlands (50)."
url: https://scholar4ai.com/proceedings/umap
markdown_url: https://scholar4ai.com/proceedings/umap.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "UMAP (International Conference on User Modelling, Adaptation, and Personalization (was AH and UM)) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 415 of its papers from 2024–2026 (143 in 2024… (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)
---

# UMAP: International Conference on User Modelling, Adaptation, and Personalization (was AH and UM) — papers and institutions, 2024–2026

Papers of UMAP, International Conference on User Modelling, Adaptation, and Personalization (was AH and UM) (CORE rank A; field: Human-centred computing), 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

- UMAP (International Conference on User Modelling, Adaptation, and Personalization (was AH and UM)) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 415 of its papers from 2024–2026 (143 in 2024, 148 in 2025, 124 in 2026).
- By the countries of the authors' institutions, the most papers come from Italy (111), the United States (75) and the Netherlands (50).
- The institutions with the most papers are University of Turin (30), University of Bari Aldo Moro (27) and University of Cagliari (26).
- Its most-cited paper of these years is “LLM-generated Explanations for Recommender Systems” (2024), with 60 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 143 | 141 |
| 2025 | 148 | 145 |
| 2026 | 124 | 114 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S7407087750](https://openalex.org/S7407087750) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | [University of Turin](https://scholar4ai.com/institutions/university-of-turin.md) | 30 |
| 2 | University of Bari Aldo Moro | 27 |
| 3 | University of Cagliari | 26 |
| 4 | Polytechnic University of Bari | 18 |
| 5 | [Delft University of Technology](https://scholar4ai.com/institutions/delft-university-of-technology.md) | 16 |
| 6 | University of Sarajevo | 14 |
| 7 | Utrecht University | 14 |
| 8 | Graz University of Technology | 13 |
| 9 | Charles University | 12 |
| 10 | University of Primorska | 11 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | Italy | 111 |
| 2 | United States | 75 |
| 3 | Netherlands | 50 |
| 4 | Germany | 46 |
| 5 | Austria | 39 |
| 6 | Belgium | 22 |
| 7 | Spain | 19 |
| 8 | United Kingdom | 16 |
| 9 | Czechia | 15 |
| 10 | Bosnia & Herzegovina | 14 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 73 |
| 2 | recommender systems | 69 |
| 3 | user modeling | 46 |
| 4 | personalization | 44 |
| 5 | transparency | 24 |
| 6 | chatbots | 20 |
| 7 | [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) | 20 |
| 8 | personalized recommendation | 18 |
| 9 | human-robot interaction | 17 |
| 10 | user preferences | 16 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 60 | [LLM-generated Explanations for Recommender Systems](https://doi.org/10.1145/3631700.3665185) | 2024-06-27 | Sebastian Lubos, Thi Ngoc Trang Tran, Alexander Felfernig et al. |
| 2 | 43 | [Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights](https://doi.org/10.1145/3631700.3665233) | 2024-06-27 | Giorgio Biancini, Alessio Ferrato, Carla Limongelli |
| 3 | 28 | [Towards Automated Penetration Testing: Introducing LLM Benchmark, Analysis, and Improvements](https://doi.org/10.1145/3708319.3733804) | 2025-06-12 | Isamu Isozaki, Manil Shrestha, Rick Console et al. |
| 4 | 28 | [CulturAI: Exploring Mixed Reality Art Exhibitions with Large Language Models for Personalized Immersive Experiences](https://doi.org/10.1145/3631700.3664874) | 2024-06-27 | Nicolas Constantinides, Argyris Constantinides, Dimitrios K. Koukopoulos et al. |
| 5 | 24 | [Towards Intelligent VR Training: A Physiological Adaptation Framework for Cognitive Load and Stress Detection](https://doi.org/10.1145/3699682.3727575) | 2025-06-13 | Mahsa Nasri |
| 6 | 24 | [Exploring Student Interactions with AI in Programming Training](https://doi.org/10.1145/3631700.3665227) | 2024-06-27 | Gianni Fenu, Roberta Galici, Mirko Marras et al. |
| 7 | 18 | [User Perception of Fairness-Calibrated Recommendations](https://doi.org/10.1145/3627043.3659558) | 2024-06-22 | Gabrielle Alves, Dietmar Jannach, Rodrigo Souza et al. |
| 8 | 17 | [ChatGPT as a Conversational Recommender System: A User-Centric Analysis](https://doi.org/10.1145/3627043.3659574) | 2024-06-22 | Ahtsham Manzoor, Samuel C. Ziegler, Klaus Maria. Pirker Garcia et al. |
| 9 | 16 | [FitSight: Tracking and Feedback Engine for Personalized Fitness Training](https://doi.org/10.1145/3627043.3659547) | 2024-06-22 | Hitesh Kotte, Florian Daiber, Miloš Kravčík et al. |
| 10 | 16 | [User Perceptions of Diversity in Recommender Systems](https://doi.org/10.1145/3627043.3659555) | 2024-06-22 | Patrik Dokoupil, Ludovico Boratto, Ladislav Peška |

## Cite this page

Scholar4AI. (2026). UMAP: International Conference on User Modelling, Adaptation, and Personalization (was AH and UM) — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/umap

```bibtex
@misc{scholar4ai-proceedings-umap,
  author = {{Scholar4AI}},
  title = {UMAP: International Conference on User Modelling, Adaptation, and Personalization (was AH and UM) — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/umap}},
  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/).