Stefano Rizzi
Impact in
- Management Information Systems top 0.5%
- Big Data and Business Intelligence
- Business Process Modeling and Analysis
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- Advanced Database Systems and Queries
Papers in
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- Advanced Database Systems and Queries 69
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- Semantic Web and Ontologies 32
- Data Stream Mining Techniques 8
- Co-authors
- Matteo Golfarelli (74 shared papers)Dario Maio (21 shared papers)Paolo Giorgini (2 shared papers)Enrico Gallinucci (17 shared papers)Jens Lechtenbörger (2 shared papers)Alberto Abelló (4 shared papers)Juan Trujillo (3 shared papers)Patrick Marcel (8 shared papers)
In The Last Decade
Stefano Rizzi
116 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 105
- Management Information Systems 737
- Computer Networks and Communications 1.3k
- Management Science and Operations Research 665
- Signal Processing 556
- Information Systems 1.0k
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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 255 | |
| 2 | 2004 | 181 | |
| 3 | Data Warehouse Design: Modern Principles and Methodologies | 2009 | 151 |
| 4 | 2002 | 121 | |
| 5 | 2007 | 108 | |
| 6 | 2005 | 101 | |
| 7 | 1998 | 98 | |
| 8 | 2006 | 96 | |
| 9 | 2013 | 64 | |
| 10 | 2001 | 64 | |
| 11 | Designing the Data Warehouse: Key Steps and Crucial Issues | 1999 | 56 |
| 12 | 2009 | 56 | |
| 13 | A Task-Swap Negotiation Protocol Based on the Contract Net Paradigm | 2000 | 44 |
| 14 | 2014 | 43 | |
| 15 | 2019 | 41 | |
| 16 | 2005 | 39 | |
| 17 | 2001 | 38 | |
| 18 | 2002 | 36 | |
| 19 | 2013 | 35 | |
| 20 | 2010 | 34 |
About Stefano Rizzi
Stefano Rizzi is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Management Science and Operations Research, having authored 124 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (69 papers), Data Management and Algorithms (42 papers), Semantic Web and Ontologies (32 papers), Data Quality and Management (26 papers), Data Mining Algorithms and Applications (23 papers), Big Data and Business Intelligence (9 papers), Data Visualization and Analytics (8 papers) and Data Stream Mining Techniques (8 papers). The work is most often cited by research in Management Information Systems (737 citations), Computer Networks and Communications (1.3k citations), Management Science and Operations Research (665 citations), Signal Processing (556 citations) and Information Systems (1.0k 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, Alberto Abelló, Juan Trujillo, Patrick Marcel, Boris Vrdoljak and Gottfried Vossen. Their work appears in journals such as Information Systems, Data & Knowledge Engineering, International Journal of Data Warehousing and Mining, Pattern Recognition Letters and International Journal of Cooperative Information Systems.
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.