2026 Francesco Ricci: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	63	2681	2601	44	43	287	28168

Francesco Ricci publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Francesco Ricci sits on this spectrum.

32 publications 991+

This scientist: 287 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Francesco Ricci D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Francesco Ricci sits on this spectrum.

30 D-Index 131+

This scientist: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

2025 - Research.com Computer Science in Italy Leader Award
2023 - Research.com Computer Science in Italy Leader Award
2022 - Research.com Computer Science in Italy Leader Award

Overview

Francesco Ricci is affiliated with the Free University of Bozen-Bolzano in Italy and conducts research primarily in the field of Computer Science. Their work focuses significantly on information systems and artificial intelligence, with notable contributions to management science and operations research, marketing, and information systems management.

Their research topics concentrate on recommender systems and techniques, consumer market behavior and pricing, advanced graph neural networks, advanced bandit algorithms research, digital marketing and social media, business process modeling and analysis, and technology adoption and user behavior.

Recent papers authored or co-authored by Ricci include:

Trustworthy Recommender Systems, 2023, ACM Transactions on Intelligent Systems and Technology
Recommender systems effect on the evolution of users' choices distribution, 2021, Information Processing & Management
Graph learning based recommender systems: A review, 2025, TIB Data Manager
Graph Learning Approaches to Recommender Systems: A Review, 2020, arXiv (Cornell University)
Recommender systems: Past, present, future, 2021, AI Magazine

Frequent collaborators include Shoujin Wang, David Massimo, Yan Wang, Naieme Hazrati, and Chiara Di Francescomarino.

Ricci has published multiple works in a range of venues such as:

arXiv (Cornell University)
AI Magazine
IEEE Access
Information Technology & Tourism
User Modeling and User-Adapted Interaction

Best Publications

Introduction to Recommender Systems Handbook

Francesco Ricci;Lior Rokach;Bracha Shapira

6859
Citations
Recommender Systems Handbook

Francesco Ricci;Lior Rokach;Bracha Shapira;Paul B. Kantor

3456
Citations
Context-Aware Recommender Systems

Gediminas Adomavicius;Bamshad Mobasher;Francesco Ricci;Alexander Tuzhilin

2828
Citations
Recommender Systems: Introduction and Challenges

Francesco Ricci;Lior Rokach;Bracha Shapira

1087
Citations
E-commerce and tourism

Hannes Werthner;Francesco Ricci

708
Citations
Group recommendations with rank aggregation and collaborative filtering

Linas Baltrunas;Tadas Makcinskas;Francesco Ricci

633
Citations
Matrix factorization techniques for context aware recommendation

Linas Baltrunas;Bernd Ludwig;Francesco Ricci

443
Citations
A survey of active learning in collaborative filtering recommender systems

Mehdi Elahi;Francesco Ricci;Neil Rubens

386
Citations
Mobile recommender systems.

Francesco Ricci

381
Citations
Improving recommender systems with adaptive conversational strategies

Tariq Mahmood;Francesco Ricci

379
Citations
Context relevance assessment and exploitation in mobile recommender systems

Linas Baltrunas;Bernd Ludwig;Stefan Peer;Francesco Ricci

360
Citations
Mediation of User Models: for Enhanced Personalization in Recommender Systems

Shlomo Berkovsky;Tsvi Kuflik;Francesco Ricci

310
Citations
Contextual music information retrieval and recommendation: State of the art and challenges

Marius Kaminskas;Francesco Ricci

299
Citations
InCarMusic: Context-Aware Music Recommendations in a Car

Linas Baltrunas;Marius Kaminskas;Bernd Ludwig;Omar Moling

255
Citations
Acquiring and Revising Preferences in a Critique-Based Mobile Recommender System

F. Ricci;Quang Nhat Nguyen

242
Citations
Intelligent systems for tourism

S. Stabb;H. Werther;F. Ricci;A. Zipf

224
Citations
Context-based splitting of item ratings in collaborative filtering

Linas Baltrunas;Francesco Ricci

216
Citations
Cross-Domain Mediation in Collaborative Filtering

Shlomo Berkovsky;Tsvi Kuflik;Francesco Ricci

206
Citations
Case base querying for travel planning recommendation.

Francesco Ricci;Hannes Werthner

199
Citations
ITR: A Case-Based Travel Advisory System

Francesco Ricci;Bora Arslan;Nader Mirzadeh;Adriano Venturini

197
Citations
Enhancing privacy and preserving accuracy of a distributed collaborative filtering

Shlomo Berkovsky;Yaniv Eytani;Tsvi Kuflik;Francesco Ricci

197
Citations
Information and communication technologies in tourism 2011 : proceedings of the International Conference in Innsbruck, Austria, January 26-28, 2011

Rob Law;Matthias Fuchs;Francesco Ricci

107
Citations

Frequent Co-Authors

Shlomo Berkovsky Macquarie University

Tsvi Kuflik University of Haifa

Romain Quidant ETH Zurich

Hannes Werthner TU Wien

Bracha Shapira Ben-Gurion University of the Negev

Giovanni Semeraro University of Bari Aldo Moro

Anna Perini Fondazione Bruno Kessler

Pasquale Lops University of Bari Aldo Moro

Iván Cantador Autonomous University of Madrid

Lior Rokach Ben-Gurion University of the Negev

External Links

Personal website of Francesco Ricci Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Expanding your education in computer science can start with numerous online options. For those looking to build a foundation, an associate degree online is a flexible route. This option is ideal for students seeking to balance work, family, and education, or for those exploring the field before committing to a bachelor’s degree.

Cost can be a significant barrier, but there are affordable online courses available from reputable institutions. These programs offer the same quality of education as traditional settings, but with greater flexibility and often lower tuition fees.

Not everyone has a high GPA, but opportunities exist with online graduate programs that accept 2.0 GPA. These inclusive programs are designed to give more students a pathway to advanced study and new career options in the tech industry and beyond.

Additionally, computer science graduates often collaborate in interdisciplinary fields. For example, learning about sustainability or data analysis complements roles you could pursue with an environmental science degree. Thinking broadly about your skills can lead to impactful, diverse career pathways.