Mario Fedrizzi
Impact in
-
- Multi-Criteria Decision Making
- Statistics and Probability top 0.5%
- Fuzzy Systems and Optimization
Papers in
-
- Multi-Criteria Decision Making 42
-
- Bayesian Modeling and Causal Inference 8
- Fuzzy Logic and Control Systems 7
- Logic, Reasoning, and Knowledge 7
- Co-authors
- Janusz Kacprzyk (15 shared papers)Matteo Brunelli (16 shared papers)Ronald R. Yager (3 shared papers)Hannu Nurmi (4 shared papers)Gabriella Pasi (1 shared paper)Gloria Bordogna (1 shared paper)Silvio Giove (3 shared papers)Ricardo Alberto Marques Pereira (8 shared papers)
In The Last Decade
Mario Fedrizzi
71 papers receiving 3.2k citations
Mario Fedrizzi's Hit Papers
Peers
Comparison fields: 5 of 123
- Management Science and Operations Research 2.4k
- Statistics and Probability 496
- Computational Theory and Mathematics 966
- Artificial Intelligence 1.4k
- General Decision Sciences 47
Countries citing papers authored by Mario Fedrizzi
This map shows the geographic impact of Mario Fedrizzi'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 Mario Fedrizzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Fedrizzi more than expected).
Fields of papers citing papers by Mario Fedrizzi
This network shows the impact of papers produced by Mario Fedrizzi. 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 Mario Fedrizzi. The network helps show where Mario Fedrizzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Fedrizzi, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Advances in the Dempster-Shafer theory of evidence Hit paper breakdown → | 1994 | 587 |
| 2 | 1997 | 408 | |
| 3 | 1988 | 316 | |
| 4 | 1992 | 309 | |
| 5 | 2006 | 179 | |
| 6 | Fuzzy regression analysis | 1992 | 121 |
| 7 | 2013 | 119 | |
| 8 | 1990 | 119 | |
| 9 | 1997 | 109 | |
| 10 | 2013 | 82 | |
| 11 | 1988 | 81 | |
| 12 | 1992 | 73 | |
| 13 | 1989 | 68 | |
| 14 | 2009 | 55 | |
| 15 | 2013 | 43 | |
| 16 | 1999 | 40 | |
| 17 | 2014 | 39 | |
| 18 | 2011 | 34 | |
| 19 | 2015 | 33 | |
| 20 | 1996 | 31 |
About Mario Fedrizzi
Mario Fedrizzi is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability and Signal Processing, having authored 73 papers that have together received 3.3k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (42 papers), Rough Sets and Fuzzy Logic (13 papers), Fuzzy Systems and Optimization (10 papers), Bayesian Modeling and Causal Inference (8 papers), Fuzzy Logic and Control Systems (7 papers), Data Management and Algorithms (7 papers), Advanced Algebra and Logic (7 papers) and Logic, Reasoning, and Knowledge (7 papers). The work is most often cited by research in Management Science and Operations Research (2.4k citations), Statistics and Probability (496 citations), Computational Theory and Mathematics (966 citations), Artificial Intelligence (1.4k citations) and General Decision Sciences (47 citations). Mario Fedrizzi has collaborated with scholars based in Italy, Finland and Poland. Frequent co-authors include Janusz Kacprzyk, Matteo Brunelli, Ronald R. Yager, Hannu Nurmi, Gabriella Pasi, Gloria Bordogna, Silvio Giove, Ricardo Alberto Marques Pereira, Sławomir Zadrożny and Mikael Collan. Their work appears in journals such as European Journal of Operational Research, Fuzzy Sets and Systems, Annals of Operations Research, Expert Systems with Applications and International Journal of Uncertainty Fuzziness and Knowledge-Based 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.