Angelo Di Iorio
- Artificial Intelligence top 5%
- Information Systems top 5%
- Cognitive Neuroscience
- Computer Networks and Communications
- Information Systems and Management top 10%
- Co-authors
- Fabio VitaliSilvio PeroniFrancesco PoggiStefano ZacchiroliAndrea Giovanni NuzzoleseAndrea MonteriùSabrina IarloriFrancesco Ferracuti
- Topics
- Semantic Web and Ontologies (29 papers)Wikis in Education and Collaboration (14 papers)Web Data Mining and Analysis (12 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Angelo Di Iorio
64 papers receiving 429 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 241
- Information Systems 163
- Cognitive Neuroscience 65
- Computer Networks and Communications 50
- Information Systems and Management 47
Countries citing papers authored by Angelo Di Iorio
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).
Fields of papers citing papers by Angelo Di Iorio
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.
Co-authorship network of co-authors of Angelo Di Iorio
This figure shows the co-authorship network connecting the top 25 collaborators of Angelo Di Iorio. A scholar is included among the top collaborators of Angelo Di Iorio 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 Angelo Di Iorio. Angelo Di Iorio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 70 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | The RASH Framework: enabling HTML+RDF submissions in scholarly venues | 6 |
| 11 | 6 | |
| 12 | Describing bibliographic references in RDF | 12 |
| 13 | Semantic lenses to bring digital and semantic publishing together | 2 |
| 14 | Promoting Best Practice Sharing within Organizations. | 1 |
| 15 | 8 | |
| 16 | 7 | |
| 17 | 12 | |
| 18 | Automatically Producing Accessible Learning Objects. | 32 |
| 19 | Writing the Web | 2 |
| 20 | Beyond Proxies: XLink Support In The Browser | 2 |
About Angelo Di Iorio
Angelo Di Iorio is a scholar working on Communication, Computer Science Applications and Information Systems, having authored 69 papers that have together received 463 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (29 papers), Wikis in Education and Collaboration (14 papers) and Web Data Mining and Analysis (12 papers). The work is most often cited by research in Human Factors and Ergonomics (18 citations), Artificial Intelligence (241 citations) and Information Systems (163 citations). Angelo Di Iorio has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Fabio Vitali, Silvio Peroni, Francesco Poggi, Stefano Zacchiroli, Andrea Giovanni Nuzzolese, Andrea Monteriù, Sabrina Iarlori, Francesco Ferracuti, Camillo Porcaro and Silvia Mirri. Their work appears in journals such as Computers in Human Behavior, Information Sciences and Scientometrics.
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.