2026 Marco de Gemmis: 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	34	11995	11646	408	404	180	6707

Marco de Gemmis 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 Marco de Gemmis sits on this spectrum.

32 publications 991+

This scientist: 180 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Marco de Gemmis 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 Marco de Gemmis sits on this spectrum.

30 D-Index 131+

This scientist: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Marco de Gemmis is affiliated with the University of Bari Aldo Moro in Italy. Their research primarily focuses on the intersection of computer science and social sciences, with a specialized emphasis on artificial intelligence and information systems. The work extends into various subfields including communication, computer vision and pattern recognition, as well as computer networks and communications.

The scientist's academic portfolio is characterized by a significant volume of publications across multiple thematic areas. These topics include:

Topic Modeling
Recommender Systems and Techniques
Natural Language Processing Techniques
Speech and Dialogue Systems
Wikis in Education and Collaboration
AI in Service Interactions
Sentiment Analysis and Opinion Mining

Research outputs have appeared in a variety of publication venues. Frequent venues for their work include:

Journal of Intelligent Information Systems
User Modeling and User-Adapted Interaction
Zenodo (CERN European Organization for Nuclear Research)
Expert Systems with Applications
IEEE Access

Noteworthy recent papers by the researcher include:

Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors, 2020, Expert Systems with Applications
HealthAssistantBot: A Personal Health Assistant for the Italian Language, 2020, IEEE Access
Generating post hoc review-based natural language justifications for recommender systems, 2020, User Modeling and User-Adapted Interaction
Context-aware graph-based recommendations exploiting Personalized PageRank, 2021, Knowledge-Based Systems
An AI framework to support decisions on GDPR compliance, 2023, Journal of Intelligent Information Systems

The researcher collaborates frequently with a core group of co-authors, including:

Giovanni Semeraro (26 joint publications)
Pasquale Lops (17 joint publications)
Cataldo Musto (12 joint publications)
Pierpaolo Basile (12 joint publications)
Marco Polignano (10 joint publications)

Marco de Gemmis's work contributes to advancing techniques and applications in recommender systems, emotion-aware AI models, and decision support systems with relevant implications for GDPR compliance. Their interdisciplinary approach bridges computational methods with social and communication sciences, addressing both technical and human-centric aspects of information systems.

Best Publications

Content-based Recommender Systems: State of the Art and Trends

Pasquale Lops;Marco de Gemmis;Giovanni Semeraro

2665
Citations
Semantics-Aware Content-Based Recommender Systems

Marco de Gemmis;Pasquale Lops;Cataldo Musto;Fedelucio Narducci

523
Citations
Integrating tags in a semantic content-based recommender

Marco de Gemmis;Pasquale Lops;Giovanni Semeraro;Pierpaolo Basile

206
Citations
An investigation on the serendipity problem in recommender systems

Marco de Gemmis;Pasquale Lops;Giovanni Semeraro;Cataldo Musto

152
Citations
Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems

Cataldo Musto;Giovanni Semeraro;Marco de Gemmis;Pasquale Lops

139
Citations
Human Decision Making and Recommender Systems

Li Chen;Marco de Gemmis;Alexander Felfernig;Pasquale Lops

130
Citations
Personalized finance advisory through case-based recommender systems and diversification strategies

Cataldo Musto;Giovanni Semeraro;Pasquale Lops;Marco de Gemmis

97
Citations
A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews

Cataldo Musto;Marco de Gemmis;Giovanni Semeraro;Pasquale Lops

94
Citations
ExpLOD: A Framework for Explaining Recommendations based on the Linked Open Data Cloud

Cataldo Musto;Fedelucio Narducci;Pasquale Lops;Marco De Gemmis

85
Citations
Knowledge infusion into content-based recommender systems

Giovanni Semeraro;Pasquale Lops;Pierpaolo Basile;Marco de Gemmis

82
Citations
Content-based and collaborative techniques for tag recommendation: an empirical evaluation

Pasquale Lops;Marco De Gemmis;Giovanni Semeraro;Cataldo Musto

78
Citations
Introducing linked open data in graph-based recommender systems

Cataldo Musto;Pierpaolo Basile;Pasquale Lops;Marco de Gemmis

76
Citations
Linked open data-based explanations for transparent recommender systems

Cataldo Musto;Fedelucio Narducci;Pasquale Lops;Marco de Gemmis

73
Citations
Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors

Marco Polignano;Fedelucio Narducci;Marco de Gemmis;Giovanni Semeraro

71
Citations
Word Embedding techniques for Content-based Recommender Systems: An empirical evaluation

Cataldo Musto;Giovanni Semeraro;Marco de Gemmis;Pasquale Lops

69
Citations
Human decision making and recommender systems

Anthony Jameson;MC Martijn Willemsen;Alexander Felfernig;Marco de Gemmis

69
Citations
A Comparison of Word-Embeddings in Emotion Detection from Text using BiLSTM, CNN and Self-Attention

Marco Polignano;Pierpaolo Basile;Marco de Gemmis;Giovanni Semeraro

62
Citations
UNIBA: JIGSAW algorithm for Word Sense Disambiguation

Pierpaolo Basile;Marco de Gemmis;Anna Lisa Gentile;Pasquale Lops

59
Citations
HealthAssistantBot: A Personal Health Assistant for the Italian Language

Marco Polignano;Fedelucio Narducci;Andrea Iovine;Cataldo Musto

59
Citations
Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data

Cataldo Musto;Pasquale Lops;Pierpaolo Basile;Marco de Gemmis

58
Citations
Learning Preference Models in Recommender Systems

Marco de Gemmis;Leo Iaquinta;Pasquale Lops;Cataldo Musto

49
Citations

Frequent Co-Authors

Giovanni Semeraro University of Bari Aldo Moro

Pasquale Lops University of Bari Aldo Moro

Alexander Felfernig Graz University of Technology

Peter Brusilovsky University of Pittsburgh

Francesco Ricci Free University of Bozen-Bolzano

Tommaso Di Noia Polytechnic University of Bari

Thomas Lukasiewicz University of Oxford

Li Chen Hong Kong Baptist University

Donato Malerba University of Bari Aldo Moro

Juan Barceló Autonomous University of Barcelona

External Links

Personal website of Marco de Gemmis

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