Francesco Poggi
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Information Systems and Management top 10%
- Co-authors
- Silvio PeroniFabio VitaliPaolo CiancariniAngelo Di IorioDavide RossiAndrea Giovanni NuzzoleseAldo GangemiMarco Furini
- Topics
- Semantic Web and Ontologies (16 papers)Service-Oriented Architecture and Web Services (9 papers)Advanced Software Engineering Methodologies (9 papers)
- Cited by
- Information Systems and ManagementStatistics, Probability and UncertaintyInformation Systems
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Francesco Poggi
47 papers receiving 247 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 115
- Information Systems 95
- Computer Vision and Pattern Recognition 47
- Computer Networks and Communications 43
- Information Systems and Management 38
Countries citing papers authored by Francesco Poggi
This map shows the geographic impact of Francesco Poggi'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 Francesco Poggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Poggi more than expected).
Fields of papers citing papers by Francesco Poggi
This network shows the impact of papers produced by Francesco Poggi. 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 Francesco Poggi. The network helps show where Francesco Poggi may publish in the future.
Co-authorship network of co-authors of Francesco Poggi
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Poggi. A scholar is included among the top collaborators of Francesco Poggi 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 Francesco Poggi. Francesco Poggi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 33 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | Enhancing open data to Linked Open Data with ODMiner | 2 |
| 15 | 10 | |
| 16 | 9 | |
| 17 | The RASH Framework: enabling HTML+RDF submissions in scholarly venues | 6 |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 4 |
About Francesco Poggi
Francesco Poggi is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 50 papers that have together received 258 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (16 papers), Service-Oriented Architecture and Web Services (9 papers) and Advanced Software Engineering Methodologies (9 papers). The work is most often cited by research in Information Systems and Management (38 citations), Statistics, Probability and Uncertainty (38 citations) and Information Systems (95 citations). Francesco Poggi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Silvio Peroni, Fabio Vitali, Paolo Ciancarini, Angelo Di Iorio, Davide Rossi, Andrea Giovanni Nuzzolese, Aldo Gangemi, Marco Furini, Catia Prandi and Ombretta Gaggi. Their work appears in journals such as Scientific Reports, Communications of the ACM and Computers in Human Behavior.
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.