Danilo Dessı̀

767 citations
34 papers · 285 · h-index 9

Impact in

Papers in

    • Topic Modeling 15
    • Semantic Web and Ontologies 10
    • Advanced Graph Neural Networks 6
    • Natural Language Processing Techniques 3
    • Sentiment Analysis and Opinion Mining 3
    • Text and Document Classification Technologies 3

Danilo Dessı̀

29 papers receiving 268 citations

Peers

Danilo Dessı̀
Comparison fields: 5 of 66
  • Artificial Intelligence 187
  • Computer Science Applications 30
  • Information Systems 66
  • Management Science and Operations Research 30
  • Information Systems and Management 13
Replace Nuno Silva with:
Nuno Silva Portugal
Runlong Yu China
Henda Hajjami Ben Ghézala Tunisia
Μαρία Γιάτσογλου Greece
Jen‐Yuan Yeh Taiwan
Christopher Thomas United States
Hassan I. Abdalla United Arab Emirates
Michiel Hildebrand Netherlands
Bogdan Walek Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Danilo Dessı̀

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Dessı̀

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danilo Dessı̀, 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 Danilo Dessı̀ Line = papers co-authored together Danilo Dessı̀ links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201861
2 202059
3 202126
4 202225
5 202314
6 202213
7 201913
8 20209
9 20219
10 20257
11
Exploiting Cognitive Computing and Frame Semantic Features for Biomedical Document Clustering.
20176
12 20205
13 20215
14 20244
15
Mining Scholarly Data for Fine-Grained Knowledge Graph Construction
20194
16 20214
17 20183
18
Parsing Natural Language Sentences into Robot Actions.
20193
19 20252
20 20212

About Danilo Dessı̀

Danilo Dessı̀ is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 285 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Semantic Web and Ontologies (10 papers), Advanced Graph Neural Networks (6 papers), Biomedical Text Mining and Ontologies (6 papers), Data Quality and Management (4 papers), Natural Language Processing Techniques (3 papers), Sentiment Analysis and Opinion Mining (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Artificial Intelligence (187 citations), Computer Science Applications (30 citations), Information Systems (66 citations), Management Science and Operations Research (30 citations) and Information Systems and Management (13 citations). Danilo Dessı̀ has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Diego Reforgiato Recupero, Francesco Osborne, Davide Buscaldi, Enrico Motta, Gianni Fenu, Mirko Marras, Harald Sack, Mauro Dragoni, Sergio Consoli and David Ruiz. Their work appears in journals such as IEEE Access, Knowledge-Based Systems, Information Processing & Management, Electronics and BMC Bioinformatics.

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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