Pasquale Lops

6.3k citations
220 papers · 4.7k · 1 hit paper · h-index 31

Impact in

Papers in

    • Topic Modeling 81
    • Semantic Web and Ontologies 46
    • Natural Language Processing Techniques 32
    • Advanced Graph Neural Networks 29
    • Advanced Text Analysis Techniques 22
    • Text and Document Classification Technologies 16
    • Recommender Systems and Techniques 132

Pasquale Lops

208 papers receiving 4.4k citations

Pasquale Lops's Hit Papers

Content-based Recommender Systems: State of the Art and Trends 2010 · 1.3k citations
1.3k0+5+10Years since publication4008001.2k

Peers

Pasquale Lops
Comparison fields: 5 of 120
  • Information Systems 3.4k
  • Artificial Intelligence 2.6k
  • Computer Vision and Pattern Recognition 1.2k
  • Computer Science Applications 219
  • Management Science and Operations Research 464
Replace Marco de Gemmis with:
Marco de Gemmis Italy
Iván Cantador Spain
Peter Bergström Sweden
Shaoping Ma China
Antonio Hernando Spain
Shilad Sen United States
Pablo Castells Spain
Min Zhang China
Joemon M. Jose United Kingdom
Jon Herlocker United States
Pasquale Lops relative to Marco de Gemmis Italy Marco de Gemmis's profile →
Citations per field
00.5×1.5×
Marco de Gemmis · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Pasquale Lops, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pasquale Lops Line = papers co-authored together Pasquale Lops links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 220 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Content-based Recommender Systems: State of the Art and Trends
Hit paper breakdown →
20101309
2 2015195
3 2008138
4 2019133
5 2007121
6 2008116
7 2015100
8 201386
9 201675
10 201865
11 201762
12 201557
13 201657
14 201651
15 201648
16 201047
17
Combining learning and word sense disambiguation for intelligent user profiling
200746
18 200946
19 202046
20 201742

About Pasquale Lops

Pasquale Lops is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Signal Processing, having authored 220 papers that have together received 4.7k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (132 papers), Topic Modeling (81 papers), Semantic Web and Ontologies (46 papers), Image Retrieval and Classification Techniques (34 papers), Natural Language Processing Techniques (32 papers), Advanced Graph Neural Networks (29 papers), Advanced Text Analysis Techniques (22 papers) and Text and Document Classification Technologies (16 papers). The work is most often cited by research in Information Systems (3.4k citations), Artificial Intelligence (2.6k citations), Computer Vision and Pattern Recognition (1.2k citations), Computer Science Applications (219 citations) and Management Science and Operations Research (464 citations). Pasquale Lops has collaborated with scholars based in Italy, Netherlands and Austria. Frequent co-authors include Giovanni Semeraro, Marco de Gemmis, Cataldo Musto, Fedelucio Narducci, Pierpaolo Basile, Leo Iaquinta, Piero Molino, Marco Polignano, Toine Bogers and Marijn Koolen. Their work appears in journals such as User Modeling and User-Adapted Interaction, Information Systems, Journal of Intelligent Information Systems, Lecture notes in computer science and Information Processing & Management.

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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