Pasquale Lops

6.2k total citations
141 papers, 2.0k citations indexed

About

Pasquale Lops is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pasquale Lops has authored 141 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Information Systems, 91 papers in Artificial Intelligence and 29 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pasquale Lops's work include Recommender Systems and Techniques (90 papers), Topic Modeling (49 papers) and Semantic Web and Ontologies (29 papers). Pasquale Lops is often cited by papers focused on Recommender Systems and Techniques (90 papers), Topic Modeling (49 papers) and Semantic Web and Ontologies (29 papers). Pasquale Lops collaborates with scholars based in Italy, Austria and Netherlands. Pasquale Lops's co-authors include Giovanni Semeraro, Marco de Gemmis, Cataldo Musto, Pierpaolo Basile, Fedelucio Narducci, Leo Iaquinta, Piero Molino, Marco Polignano, Dietmar Jannach and Toine Bogers and has published in prestigious journals such as Information Sciences, Artificial Intelligence and Decision Support Systems.

In The Last Decade

Pasquale Lops

132 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
Pasquale Lops Italy 25 1.4k 1.1k 416 192 180 141 2.0k
Marco de Gemmis Italy 27 1.3k 0.9× 1.2k 1.1× 394 0.9× 208 1.1× 166 0.9× 135 2.0k
Zeno Gantner Germany 12 1.1k 0.8× 812 0.7× 434 1.0× 169 0.9× 275 1.5× 14 1.7k
Dianshuang Wu Australia 12 1.3k 0.9× 769 0.7× 364 0.9× 239 1.2× 251 1.4× 23 1.7k
Béla Gipp Germany 27 1.3k 0.9× 1.4k 1.2× 249 0.6× 345 1.8× 142 0.8× 126 2.6k
Mingsong Mao China 9 970 0.7× 544 0.5× 309 0.7× 222 1.2× 156 0.9× 19 1.4k
Rafael Valencia-Garcı́a Spain 26 1.1k 0.8× 1.3k 1.2× 197 0.5× 291 1.5× 215 1.2× 131 2.2k
Denis Parra Chile 22 760 0.6× 550 0.5× 429 1.0× 236 1.2× 120 0.7× 93 1.5k
Alejandro Bellogín Spain 27 1.5k 1.1× 894 0.8× 396 1.0× 187 1.0× 407 2.3× 95 1.9k
Hady W. Lauw Singapore 23 1.2k 0.9× 1.2k 1.0× 262 0.6× 391 2.0× 154 0.9× 105 2.0k

Countries citing papers authored by Pasquale Lops

Since Specialization
Citations

This map shows the geographic impact of Pasquale Lops'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 Pasquale Lops with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasquale Lops more than expected).

Fields of papers citing papers by Pasquale Lops

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pasquale Lops. 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 Pasquale Lops. The network helps show where Pasquale Lops may publish in the future.

Co-authorship network of co-authors of Pasquale Lops

This figure shows the co-authorship network connecting the top 25 collaborators of Pasquale Lops. A scholar is included among the top collaborators of Pasquale Lops 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 Pasquale Lops. Pasquale Lops 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.
Lops, Pasquale, et al.. (2024). Reproducibility of LLM-based Recommender Systems: the Case Study of P5 Paradigm. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 116–125. 1 indexed citations
7.
Basile, Pierpaolo, et al.. (2023). OIE4PA: open information extraction for the public administration. Journal of Intelligent Information Systems. 62(1). 273–294. 2 indexed citations
8.
Basile, Pierpaolo, et al.. (2023). AI-based decision support system for public procurement. Information Systems. 119. 102284–102284. 14 indexed citations
9.
Lops, Pasquale, et al.. (2023). Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 554–564. 1 indexed citations
10.
Lops, Pasquale, Cataldo Musto, & Marco Polignano. (2023). Accountable Knowledge-aware Recommender Systems. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 306–308. 1 indexed citations
11.
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
12.
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
13.
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
14.
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
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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