Stefano Rizzi
Impact in
- Management Information Systems top 0.5%
- Big Data and Business Intelligence
- Business Process Modeling and Analysis
- Computer Networks and Communications top 0.5%
- Advanced Database Systems and Queries
Papers in
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- Advanced Database Systems and Queries 111
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- Data Management and Algorithms 61
- Co-authors
- Matteo Golfarelli (99 shared papers)Dario Maio (23 shared papers)Paolo Giorgini (2 shared papers)Enrico Gallinucci (22 shared papers)Jens Lechtenbörger (3 shared papers)Boris Vrdoljak (5 shared papers)Patrick Marcel (16 shared papers)Juan Carlos Trujillo (5 shared papers)
In The Last Decade
Stefano Rizzi
171 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 137
- Management Information Systems 1.1k
- Computer Networks and Communications 2.4k
- Signal Processing 1.1k
- Management Science and Operations Research 1.0k
- Information Systems 1.6k
Countries citing papers authored by Stefano Rizzi
This map shows the geographic impact of Stefano Rizzi'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 Stefano Rizzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Rizzi more than expected).
Fields of papers citing papers by Stefano Rizzi
This network shows the impact of papers produced by Stefano Rizzi. 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 Stefano Rizzi. The network helps show where Stefano Rizzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefano Rizzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 358 | |
| 2 | Data Warehouse Design: Modern Principles and Methodologies | 2009 | 218 |
| 3 | 2004 | 217 | |
| 4 | 2002 | 174 | |
| 5 | 1998 | 150 | |
| 6 | 2007 | 150 | |
| 7 | 2005 | 147 | |
| 8 | 2006 | 143 | |
| 9 | 2013 | 93 | |
| 10 | 2001 | 93 | |
| 11 | 2009 | 72 | |
| 12 | Designing the Data Warehouse: Key Steps and Crucial Issues | 1999 | 68 |
| 13 | 2005 | 67 | |
| 14 | 2020 | 66 | |
| 15 | 2003 | 65 | |
| 16 | 2010 | 58 | |
| 17 | 2014 | 57 | |
| 18 | A Task-Swap Negotiation Protocol Based on the Contract Net Paradigm | 2000 | 52 |
| 19 | 2019 | 52 | |
| 20 | 2013 | 47 |
About Stefano Rizzi
Stefano Rizzi is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 175 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (111 papers), Data Management and Algorithms (61 papers), Semantic Web and Ontologies (50 papers), Data Mining Algorithms and Applications (34 papers), Data Quality and Management (32 papers), Data Visualization and Analytics (14 papers), Big Data and Business Intelligence (14 papers) and Data Stream Mining Techniques (9 papers). The work is most often cited by research in Management Information Systems (1.1k citations), Computer Networks and Communications (2.4k citations), Signal Processing (1.1k citations), Management Science and Operations Research (1.0k citations) and Information Systems (1.6k citations). Stefano Rizzi has collaborated with scholars based in Italy, France and Spain. Frequent co-authors include Matteo Golfarelli, Dario Maio, Paolo Giorgini, Enrico Gallinucci, Jens Lechtenbörger, Boris Vrdoljak, Patrick Marcel, Juan Carlos Trujillo, Alberto Abelló and Gottfried Vossen. Their work appears in journals such as Data & Knowledge Engineering, Information Systems, International Journal of Data Warehousing and Mining, Lecture notes in computer science and Pattern Recognition Letters.
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.