Matteo Lissandrini

715 total citations
42 papers, 352 citations indexed

About

Matteo Lissandrini is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Matteo Lissandrini has authored 42 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 14 papers in Information Systems and 13 papers in Computer Networks and Communications. Recurrent topics in Matteo Lissandrini's work include Semantic Web and Ontologies (15 papers), Advanced Graph Neural Networks (15 papers) and Advanced Database Systems and Queries (12 papers). Matteo Lissandrini is often cited by papers focused on Semantic Web and Ontologies (15 papers), Advanced Graph Neural Networks (15 papers) and Advanced Database Systems and Queries (12 papers). Matteo Lissandrini collaborates with scholars based in Denmark, Italy and France. Matteo Lissandrini's co-authors include Yannis Velegrakis, Davide Mottin, Themis Palpanas, Katja Hose, Torben Bach Pedersen, Bo P. Weidema, Agneta Ghose, Tomer Sagi, Gianmaria Silvello and Gábor Szárnyas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the VLDB Endowment and Journal of Industrial Ecology.

In The Last Decade

Matteo Lissandrini

34 papers receiving 340 citations

Peers

Matteo Lissandrini
Comparison fields: 5 of 48
  • Artificial Intelligence 221
  • Computer Vision and Pattern Recognition 120
  • Signal Processing 98
  • Computer Networks and Communications 90
  • Management Science and Operations Research 84
Replace Bhargav Kanagal with:
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Kyong-Ha Lee South Korea
Lipyeow Lim United States
Yixin Chen China
Rong Peng China
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Nematollaah Shiri Canada
Martin Giese Norway
Linhao Luo Australia
Zonghuan Wu United States
Bhargav Kanagal United States View profile →
Citations per field, relative to Matteo Lissandrini
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Citations per year, relative to Matteo Lissandrini
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Countries citing papers authored by Matteo Lissandrini

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Lissandrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Lissandrini

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Lissandrini. A scholar is included among the top collaborators of Matteo Lissandrini 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 Matteo Lissandrini. Matteo Lissandrini 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
# Work Indexed citations
1 1
2 0
3 0
4 0
5 2
6 1
7 0
8 9
9
Knowledge Graph Exploration Systems: are we lost?
1
10 11
11 20
12 5
13 19
14 7
15 6
16 7
17 13
18 27
19 26
20 50

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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