Bice Cavallo
Impact in
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- Multi-Criteria Decision Making
- Statistics and Probability top 5%
- Fuzzy Systems and Optimization
Papers in
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- Multi-Criteria Decision Making 28
- Data Quality and Management 6
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- Rough Sets and Fuzzy Logic 14
- Advanced Algebra and Logic 12
- Co-authors
- Livia D’Apuzzo (17 shared papers)Matteo Brunelli (3 shared papers)Gerardo Canfora (8 shared papers)Massimo Squillante (6 shared papers)Massimiliano Di Penta (1 shared paper)Alessio Ishizaka (4 shared papers)Jiří Mazurek (1 shared paper)Biagio Simonetti (1 shared paper)
- Journals
- Quality & Quantity (3 papers)Fuzzy Optimization and Decision Making (3 papers)International Journal of Intelligent Systems (3 papers)Fuzzy Sets and Systems (3 papers)Journal of the Operational Research Society (3 papers)
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Bice Cavallo
38 papers receiving 589 citations
Peers
Comparison fields: 5 of 69
- Management Science and Operations Research 485
- Statistics and Probability 125
- Computational Theory and Mathematics 181
- Artificial Intelligence 210
- Management of Technology and Innovation 39
Countries citing papers authored by Bice Cavallo
This map shows the geographic impact of Bice Cavallo'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 Bice Cavallo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bice Cavallo more than expected).
Fields of papers citing papers by Bice Cavallo
This network shows the impact of papers produced by Bice Cavallo. 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 Bice Cavallo. The network helps show where Bice Cavallo may publish in the future.
Co-authors
The 9 scholars most cited alongside Bice Cavallo, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 97 | |
| 2 | 2010 | 61 | |
| 3 | 2017 | 41 | |
| 4 | 2018 | 36 | |
| 5 | 2019 | 33 | |
| 6 | 2011 | 32 | |
| 7 | 2011 | 30 | |
| 8 | 2010 | 30 | |
| 9 | 2017 | 29 | |
| 10 | 2014 | 28 | |
| 11 | 2015 | 26 | |
| 12 | 2019 | 19 | |
| 13 | 2014 | 16 | |
| 14 | 2015 | 16 | |
| 15 | 2014 | 16 | |
| 16 | 2018 | 13 | |
| 17 | 2019 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2009 | 6 |
About Bice Cavallo
Bice Cavallo is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Artificial Intelligence, Management of Technology and Innovation and Statistics and Probability, having authored 40 papers that have together received 612 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (28 papers), Rough Sets and Fuzzy Logic (14 papers), Advanced Algebra and Logic (12 papers), Bayesian Modeling and Causal Inference (12 papers), Data Quality and Management (6 papers), Privacy-Preserving Technologies in Data (6 papers), Quality Function Deployment in Product Design (4 papers) and Cognitive Science and Mapping (4 papers). The work is most often cited by research in Management Science and Operations Research (485 citations), Statistics and Probability (125 citations), Computational Theory and Mathematics (181 citations), Artificial Intelligence (210 citations) and Management of Technology and Innovation (39 citations). Bice Cavallo has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Livia D’Apuzzo, Matteo Brunelli, Gerardo Canfora, Massimo Squillante, Massimiliano Di Penta, Alessio Ishizaka, Jiří Mazurek, Biagio Simonetti and Jaroslav Ramı́k. Their work appears in journals such as Quality & Quantity, Fuzzy Optimization and Decision Making, International Journal of Intelligent Systems, Fuzzy Sets and Systems and Journal of the Operational Research Society.
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.