Marco de Gemmis

6.3k total citations
135 papers, 2.0k citations indexed

About

Marco de Gemmis is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marco de Gemmis has authored 135 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Artificial Intelligence, 86 papers in Information Systems and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marco de Gemmis's work include Recommender Systems and Techniques (78 papers), Topic Modeling (43 papers) and Semantic Web and Ontologies (21 papers). Marco de Gemmis is often cited by papers focused on Recommender Systems and Techniques (78 papers), Topic Modeling (43 papers) and Semantic Web and Ontologies (21 papers). Marco de Gemmis collaborates with scholars based in Italy, Austria and Netherlands. Marco de Gemmis's co-authors include Giovanni Semeraro, Pasquale Lops, Cataldo Musto, Pierpaolo Basile, Fedelucio Narducci, Marco Polignano, Leo Iaquinta, Berardina De Carolis, Piero Molino and Michele Filannino and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Marco de Gemmis

126 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marco de Gemmis Italy 27 1.3k 1.2k 394 208 166 135 2.0k
Pasquale Lops Italy 25 1.4k 1.1× 1.1k 0.9× 416 1.1× 192 0.9× 180 1.1× 141 2.0k
Leif Azzopardi United Kingdom 25 1.9k 1.5× 1.4k 1.1× 221 0.6× 212 1.0× 221 1.3× 184 2.8k
Claudia Hauff Netherlands 24 698 0.6× 767 0.6× 245 0.6× 190 0.9× 120 0.7× 112 1.8k
Dagobert Soergel United States 24 839 0.7× 1.0k 0.8× 321 0.8× 176 0.8× 107 0.6× 94 2.0k
Matthew Lease United States 27 762 0.6× 1.3k 1.1× 151 0.4× 228 1.1× 219 1.3× 106 2.3k
John O’Donovan United States 24 1.3k 1.0× 924 0.8× 560 1.4× 497 2.4× 218 1.3× 62 2.3k
Erik Duval Belgium 33 1.3k 1.0× 1.4k 1.1× 417 1.1× 289 1.4× 133 0.8× 195 4.4k
Daqing He United States 23 1.2k 0.9× 1.0k 0.8× 191 0.5× 372 1.8× 133 0.8× 186 2.3k
Béla Gipp Germany 27 1.3k 1.0× 1.4k 1.1× 249 0.6× 345 1.7× 142 0.9× 126 2.6k
Siddharth Patwardhan United States 18 616 0.5× 2.7k 2.2× 243 0.6× 119 0.6× 140 0.8× 38 3.1k

Countries citing papers authored by Marco de Gemmis

Since Specialization
Citations

This map shows the geographic impact of Marco de Gemmis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marco de Gemmis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco de Gemmis more than expected).

Fields of papers citing papers by Marco de Gemmis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco de Gemmis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marco de Gemmis. The network helps show where Marco de Gemmis may publish in the future.

Co-authorship network of co-authors of Marco de Gemmis

This figure shows the co-authorship network connecting the top 25 collaborators of Marco de Gemmis. A scholar is included among the top collaborators of Marco de Gemmis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marco de Gemmis. Marco de Gemmis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Musto, Cataldo, et al.. (2025). DistillRecDial: A Knowledge-Distilled Dataset Capturing User Diversity in Conversational Recommendation. CINECA IRIS Institutial research information system (University of Pisa). 726–735.
2.
Musto, Cataldo, et al.. (2024). Recommender systems based on neuro-symbolic knowledge graph embeddings encoding first-order logic rules. User Modeling and User-Adapted Interaction. 34(5). 2039–2083. 4 indexed citations
3.
Musto, Cataldo, et al.. (2024). Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 165–171.
4.
Musto, Cataldo, et al.. (2024). Instructing and Prompting Large Language Models for Explainable Cross-domain Recommendations. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 298–308. 10 indexed citations
5.
Musto, Cataldo, et al.. (2024). Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 172–182. 3 indexed citations
6.
Narducci, Fedelucio, et al.. (2023). Virtual Customer Assistants in finance: From state of the art and practices to design guidelines. Computer Science Review. 47. 100534–100534. 9 indexed citations
7.
Polignano, Marco, Pasquale Lops, Marco de Gemmis, & Giovanni Semeraro. (2022). HELENA: An intelligent digital assistant based on a Lifelong Health User Model. Information Processing & Management. 60(1). 103124–103124. 2 indexed citations
8.
Andresini, Giuseppina, et al.. (2022). EUPHORIA: A neural multi-view approach to combine content and behavioral features in review spam detection. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 3. 100036–100036. 11 indexed citations
9.
Polignano, Marco, et al.. (2021). Semantically-Aware Retrieval of Oceanographic Phenomena Annotated on Satellite Images. Information. 12(8). 321–321. 1 indexed citations
10.
Musto, Cataldo, Marco de Gemmis, Pasquale Lops, & Giovanni Semeraro. (2020). Generating post hoc review-based natural language justifications for recommender systems. User Modeling and User-Adapted Interaction. 31(3). 629–673. 32 indexed citations
11.
Polignano, Marco, et al.. (2020). HealthAssistantBot: A Personal Health Assistant for the Italian Language. IEEE Access. 8. 107479–107497. 40 indexed citations
12.
Musto, Cataldo, Marco Polignano, Giovanni Semeraro, Marco de Gemmis, & Pasquale Lops. (2020). Myrror: a platform for holistic user modeling. User Modeling and User-Adapted Interaction. 30(3). 477–511. 12 indexed citations
13.
Polignano, Marco, et al.. (2020). A study of Machine Learning models for Clinical Coding of Medical Reports at CodiEsp 2020.. CLEF (Working Notes). 4 indexed citations
14.
Polignano, Marco, Valerio Basile, Pierpaolo Basile, Marco de Gemmis, & Giovanni Semeraro. (2019). AlBERTo: Modeling Italian Social Media Language with BERT. SHILAP Revista de lepidopterología. 5(2). 11–31. 13 indexed citations
15.
Narducci, Fedelucio, et al.. (2018). A Framework for Building Chat-based Recommender Systems.. 2482. 1 indexed citations
16.
Semeraro, Giovanni, Pasquale Lops, Pierpaolo Basile, & Marco de Gemmis. (2009). On the tip of my thought: playing the Guillotine game. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1543–1548. 5 indexed citations
17.
Basile, Pierpaolo, Annalina Caputo, Anna Lisa Gentile, et al.. (2008). Improving retrieval experience exploiting semantic representation of documents. MADOC (University of Mannheim). 1 indexed citations
18.
Semeraro, Giovanni, Marco de Gemmis, Pasquale Lops, & Pierpaolo Basile. (2007). Combining learning and word sense disambiguation for intelligent user profiling. International Joint Conference on Artificial Intelligence. 2856–2861. 31 indexed citations
19.
Basile, Pierpaolo, Marco de Gemmis, Leo Iaquinta, Anna Lisa Gentile, & Pasquale Lops. (2007). The JUMP project: domain ontologies and linguistic knowledge @ work. MADOC (University of Mannheim). 54(4). 440–3. 3 indexed citations
20.
Palmisano, Ignazio, Domenico Redavid, Luigi Iannone, et al.. (2005). A RDF-based Framework for User Profile Creation and Management.. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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