Angelo Di Iorio

32 papers and 210 indexed citations i.

About

Angelo Di Iorio is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Angelo Di Iorio has authored 32 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 16 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Angelo Di Iorio’s work include Semantic Web and Ontologies (12 papers), Web Data Mining and Analysis (6 papers) and Advanced Database Systems and Queries (5 papers). Angelo Di Iorio is often cited by papers focused on Semantic Web and Ontologies (12 papers), Web Data Mining and Analysis (6 papers) and Advanced Database Systems and Queries (5 papers). Angelo Di Iorio collaborates with scholars based in Italy, United Kingdom and United States. Angelo Di Iorio's co-authors include Fabio Vitali, Silvio Peroni, Andrea Monteriù, Sabrina Iarlori, Francesco Ferracuti, Camillo Porcaro, Francesco Poggi, Christoph Lange, Milan Stanković and Anna Tordai and has published in prestigious journals such as Computers in Human Behavior, Information Sciences and Scientometrics.

In The Last Decade

Co-authorship network of co-authors of Angelo Di Iorio i

Fields of papers citing papers by Angelo Di Iorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angelo Di Iorio. 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 Angelo Di Iorio. The network helps show where Angelo Di Iorio may publish in the future.

Countries citing papers authored by Angelo Di Iorio

Since Specialization
Citations

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

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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