Armando Stellato

937 total citations
48 papers, 354 citations indexed

About

Armando Stellato is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Armando Stellato has authored 48 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 31 papers in Information Systems and 10 papers in Molecular Biology. Recurrent topics in Armando Stellato's work include Semantic Web and Ontologies (42 papers), Service-Oriented Architecture and Web Services (22 papers) and Natural Language Processing Techniques (16 papers). Armando Stellato is often cited by papers focused on Semantic Web and Ontologies (42 papers), Service-Oriented Architecture and Web Services (22 papers) and Natural Language Processing Techniques (16 papers). Armando Stellato collaborates with scholars based in Italy, United States and Germany. Armando Stellato's co-authors include Maria Teresa Pazienza, Johannes Keizer, Caterina Caracciolo, Ahsan Morshed, Roberto Basili, Noemi Scarpato, Marcia Lei Zeng, Patrizia Paggio, Giorgio Gambosi and Marco Bianchi and has published in prestigious journals such as Computers and Electronics in Agriculture, IBM Journal of Research and Development and Language Resources and Evaluation.

In The Last Decade

Armando Stellato

39 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Armando Stellato Italy 10 249 148 85 50 42 48 354
Ali Hasnain Ireland 9 159 0.6× 37 0.3× 96 1.1× 47 0.9× 27 0.6× 30 269
Willem Robert van Hage Netherlands 13 385 1.5× 149 1.0× 98 1.2× 62 1.2× 67 1.6× 36 522
Agnieszka Ławrynowicz Poland 9 186 0.7× 96 0.6× 76 0.9× 27 0.5× 15 0.4× 40 267
Stephan Philippi Germany 10 153 0.6× 101 0.7× 294 3.5× 16 0.3× 26 0.6× 18 473
Nicolas Matentzoglu United Kingdom 11 245 1.0× 89 0.6× 212 2.5× 35 0.7× 9 0.2× 44 413
Vid Podpečan Slovenia 9 145 0.6× 61 0.4× 71 0.8× 12 0.2× 20 0.5× 32 318
Cássia Trojahn dos Santos France 12 301 1.2× 161 1.1× 116 1.4× 70 1.4× 28 0.7× 42 363
Sofia Alexaki Greece 7 370 1.5× 203 1.4× 82 1.0× 31 0.6× 93 2.2× 7 502
Johannes Keizer Italy 11 417 1.7× 273 1.8× 145 1.7× 57 1.1× 20 0.5× 59 557
Alexander Behm United States 9 106 0.4× 147 1.0× 38 0.4× 67 1.3× 115 2.7× 13 313

Countries citing papers authored by Armando Stellato

Since Specialization
Citations

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

Fields of papers citing papers by Armando Stellato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armando Stellato

This figure shows the co-authorship network connecting the top 25 collaborators of Armando Stellato. A scholar is included among the top collaborators of Armando Stellato 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 Armando Stellato. Armando Stellato 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.
Stellato, Armando, et al.. (2024). MAPLE: metadata-driven orchestration of ontology matching. International Journal of Metadata Semantics and Ontologies. 17(1). 18–39.
2.
Stellato, Armando, et al.. (2024). Prompting is not all you need Evaluating GPT-4 performance on a real-world ontology alignment use case. Procedia Computer Science. 246. 1289–1298.
3.
Stellato, Armando, et al.. (2020). Editing OntoLex-Lemon in VocBench 3.. Language Resources and Evaluation. 7194–7203. 2 indexed citations
4.
Stellato, Armando, et al.. (2020). VocBench 3: A collaborative Semantic Web editor for ontologies, thesauri and lexicons. Semantic Web. 11(5). 855–881. 23 indexed citations
5.
Pazienza, Maria Teresa, et al.. (2014). A Meta-data Driven Platform for Semi-automatic Configuration of Ontology Mediators. Language Resources and Evaluation. 4178–4183. 2 indexed citations
6.
Pazienza, Maria Teresa, et al.. (2014). ART Lab infrastructure for semantic Big Data processing. Cineca Institutional Research Information System (Tor Vergata University). 4. 327–334. 1 indexed citations
7.
Pazienza, Maria Teresa, et al.. (2012). PEARL: ProjEction of Annotations Rule Language, a Language for Projecting (UIMA) Annotations over RDF Knowledge Bases. Language Resources and Evaluation. 3828–3835. 8 indexed citations
8.
Stellato, Armando, et al.. (2012). Proof and trust in the OpenAGRIS implementation. Cineca Institutional Research Information System (Tor Vergata University). 33–37. 5 indexed citations
9.
Stellato, Armando, et al.. (2010). MASKKOT: A Tool for Annotating Entities through the OKKAM Service. Cineca Institutional Research Information System (Tor Vergata University).
10.
Pazienza, Maria Teresa, et al.. (2008). Din din! The (Semantic) Turkey is served!. Cineca Institutional Research Information System (Tor Vergata University). 426. 4 indexed citations
11.
Pazienza, Maria Teresa, et al.. (2008). Linguistic watermark 3.0: An RDF framework and a software library for bridging language and ontologies in the Semantic Web. Cineca Institutional Research Information System (Tor Vergata University). 426. 4 indexed citations
12.
Pazienza, Maria Teresa, et al.. (2008). A Bottom-up Comparative Study of EuroWordNet and WordNet 3.0 Lexical and Semantic Relations. Language Resources and Evaluation. 16(1). 52–52. 1 indexed citations
13.
Pazienza, Maria Teresa, et al.. (2008). JMWNL: an Extensible Multilingual Library for Accessing Wordnets in Different Languages.. Language Resources and Evaluation. 1 indexed citations
14.
Pazienza, Maria Teresa & Armando Stellato. (2008). Clustering of Terms from Translation Dictionaries and Synonyms Lists to Automatically Build more Structured Linguistic Resources.. Language Resources and Evaluation. 1 indexed citations
15.
Pazienza, Maria Teresa, et al.. (2007). Let's talk about our “being”: A linguistic-based ontology framework for coordinating agents. Applied Ontology. 2(3-4). 305–332. 10 indexed citations
16.
Pazienza, Maria Teresa, et al.. (2006). Gobbleing over the web with semantic turkey. Cineca Institutional Research Information System (Tor Vergata University). 201. 3 indexed citations
17.
Stellato, Armando, et al.. (2005). Ontology mapping to support multilingual ontology-based question answering. Cineca Institutional Research Information System (Tor Vergata University). 6 indexed citations
18.
Pazienza, Maria Teresa & Armando Stellato. (2005). Linguistically motivated ontology mapping for the Semantic Web. Cineca Institutional Research Information System (Tor Vergata University). 166. 12 indexed citations
19.
Basili, Roberto, et al.. (2004). Classification of musical genre: a machine learning approach.. International Symposium/Conference on Music Information Retrieval. 40 indexed citations
20.
Pazienza, Maria Teresa, et al.. (2002). ALINAs: un'architettura multi-layer ad agenti per il supporto alla comunicazione linguistica.. 100–107. 2 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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