Danilo Dessı̀

767 total citations
34 papers, 285 citations indexed

About

Danilo Dessı̀ is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Danilo Dessı̀ has authored 34 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Molecular Biology. Recurrent topics in Danilo Dessı̀'s work include Topic Modeling (15 papers), Semantic Web and Ontologies (10 papers) and Biomedical Text Mining and Ontologies (6 papers). Danilo Dessı̀ is often cited by papers focused on Topic Modeling (15 papers), Semantic Web and Ontologies (10 papers) and Biomedical Text Mining and Ontologies (6 papers). Danilo Dessı̀ collaborates with scholars based in Italy, Germany and United Kingdom. Danilo Dessı̀'s co-authors include Diego Reforgiato Recupero, Francesco Osborne, Davide Buscaldi, Enrico Motta, Gianni Fenu, Mirko Marras, Harald Sack, Sergio Consoli, Mauro Dragoni and Marta Sabou and has published in prestigious journals such as Computers in Human Behavior, IEEE Access and BMC Bioinformatics.

In The Last Decade

Danilo Dessı̀

29 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danilo Dessı̀ Italy 9 187 66 30 30 29 34 285
Yu‐Liang Chi Taiwan 8 142 0.8× 72 1.1× 20 0.7× 38 1.3× 25 0.9× 26 245
Henda Hajjami Ben Ghézala Tunisia 9 178 1.0× 122 1.8× 17 0.6× 28 0.9× 11 0.4× 47 305
Ganggao Zhu Spain 5 311 1.7× 58 0.9× 35 1.2× 10 0.3× 44 1.5× 6 373
Celso G. Camilo-Junior Brazil 9 104 0.6× 141 2.1× 21 0.7× 24 0.8× 11 0.4× 37 308
Surangika Ranathunga Sri Lanka 10 414 2.2× 69 1.0× 19 0.6× 20 0.7× 10 0.3× 91 530
Jen‐Yuan Yeh Taiwan 7 260 1.4× 69 1.0× 11 0.4× 16 0.5× 13 0.4× 15 323
Nelson F. Liu United States 5 294 1.6× 64 1.0× 32 1.1× 9 0.3× 28 1.0× 7 445
Vladimir Ivanov Russia 10 162 0.9× 88 1.3× 15 0.5× 16 0.5× 9 0.3× 53 287
Pete Smith United Kingdom 4 194 1.0× 134 2.0× 22 0.7× 23 0.8× 33 1.1× 6 312
Zdravko Markov United States 9 134 0.7× 67 1.0× 9 0.3× 55 1.8× 21 0.7× 31 236

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-authorship network of co-authors of Danilo Dessı̀

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Dessı̀. A scholar is included among the top collaborators of Danilo Dessı̀ 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 Danilo Dessı̀. Danilo Dessı̀ 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.
Dessı̀, Danilo, Daniel Ayala, Inma Hernández, et al.. (2025). Research hypothesis generation over scientific knowledge graphs. Knowledge-Based Systems. 315. 113280–113280. 1 indexed citations
2.
Alonso, Rubén, et al.. (2025). A novel approach for job matching and skill recommendation using transformers and the O*NET database. Big Data Research. 39. 100509–100509. 2 indexed citations
3.
Dessı̀, Danilo, et al.. (2025). Knowledge graph validation by integrating LLMs and human-in-the-loop. Information Processing & Management. 62(5). 104145–104145. 7 indexed citations
4.
Dessı̀, Danilo, Francesco Osborne, Davide Buscaldi, Diego Reforgiato Recupero, & Enrico Motta. (2025). CS-KG 2.0: A Large-scale Knowledge Graph of Computer Science. Scientific Data. 12(1). 964–964.
5.
Dessı̀, Danilo, et al.. (2025). TeleScope A Longitudinal Dataset for Investigating Online Discourse and Information Interaction on Telegram. Proceedings of the International AAAI Conference on Web and Social Media. 19. 2423–2433.
6.
7.
Dessı̀, Danilo, et al.. (2024). Investigating Characteristics, Biases and Evolution of Fact-Checked Claims on the Web. SPIRE - Sciences Po Institutional REpository. 246–258. 1 indexed citations
8.
Zavarella, Vanni, Sergio Consoli, Diego Reforgiato Recupero, et al.. (2024). Triplétoile: Extraction of knowledge from microblogging text. Heliyon. 10(12). e32479–e32479. 1 indexed citations
9.
Alonso, Rubén, et al.. (2024). A Seamless ChatGPT Knowledge Plug-in for the Labour Market. IEEE Access. 12. 155821–155837. 1 indexed citations
10.
Dessı̀, Danilo, et al.. (2023). Machine-Actionable Metadata for Software and Software Management Plans for NFDI. 1. 1 indexed citations
11.
Buscaldi, Davide, et al.. (2023). Citation prediction by leveraging transformers and natural language processing heuristics. Information Processing & Management. 61(1). 103583–103583. 14 indexed citations
12.
Dessı̀, Danilo, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, & Enrico Motta. (2022). SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain. Knowledge-Based Systems. 258. 109945–109945. 25 indexed citations
13.
Dessı̀, Danilo, et al.. (2021). Knowledge Graph enabled Curation and Exploration of Nuremberg's City Heritage. Repository KITopen (Karlsruhe Institute of Technology). 1 indexed citations
14.
Dessı̀, Danilo, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, & Enrico Motta. (2020). Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain. Future Generation Computer Systems. 116. 253–264. 59 indexed citations
15.
Buscaldi, Davide, Danilo Dessı̀, Enrico Motta, Francesco Osborne, & Diego Reforgiato Recupero. (2019). Mining Scholarly Data for Fine-Grained Knowledge Graph Construction. Open Research Online (The Open University). 21–30. 4 indexed citations
16.
Dessı̀, Danilo, et al.. (2019). Parsing Natural Language Sentences into Robot Actions.. UNICA IRIS Institutional Research Information System (University of Cagliari). 2456. 93–96. 3 indexed citations
17.
Dessı̀, Danilo, Jacopo Cirrone, Diego Reforgiato Recupero, & Dennis Shasha. (2018). SuperNoder: a tool to discover over-represented modular structures in networks. BMC Bioinformatics. 19(1). 318–318. 3 indexed citations
18.
Dessı̀, Danilo, Gianni Fenu, Mirko Marras, & Diego Reforgiato Recupero. (2018). Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections. Computers in Human Behavior. 92. 468–477. 61 indexed citations
19.
Fenu, Gianni, et al.. (2017). Functional models and extending strategies for ecological networks. Applied Network Science. 2(1). 10–10. 1 indexed citations
20.
Dessı̀, Danilo, Diego Reforgiato Recupero, Gianni Fenu, & Sergio Consoli. (2017). Exploiting Cognitive Computing and Frame Semantic Features for Biomedical Document Clustering.. 20–34. 6 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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