Mario Fedrizzi

116 papers receiving 4.5k citations

Mario Fedrizzi's Hit Papers

Advances in the Dempster-Shafer theory of evidence 1994 · 846 citations
8460+10+21Years since publication250500750

Peers

Mario Fedrizzi
Comparison fields: 5 of 127
  • Management Science and Operations Research 3.3k
  • Computational Theory and Mathematics 1.4k
  • Statistics and Probability 676
  • Artificial Intelligence 2.1k
  • Signal Processing 395
Replace Yejun Xu with:
Yejun Xu China
Marc Roubens Belgium
Jean‐Luc Marichal Luxembourg
Henri Prade France
Jian Wu China
Gleb Beliakov Australia
Vincent Mousseau France
Cong‐Cong Li China
Hengjie Zhang China
Didier Dubois France
Mario Fedrizzi relative to Yejun Xu China Yejun Xu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mario Fedrizzi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mario Fedrizzi Line = papers co-authored together Mario Fedrizzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 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 →
1994846
2 1997460
3 1992393
4 1988385
5 2006192
6 1990166
7
Fuzzy regression analysis
1992159
8 1997158
9 2013126
10 1988122
11 1989108
12 1992106
13 201386
14 200958
15 199653
16 199950
17 201346
18 198843
19 201140
20 201439

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 119 papers that have together received 4.7k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (76 papers), Rough Sets and Fuzzy Logic (24 papers), Fuzzy Systems and Optimization (16 papers), Data Management and Algorithms (15 papers), Advanced Algebra and Logic (15 papers), Bayesian Modeling and Causal Inference (14 papers), Cognitive Science and Mapping (13 papers) and Fuzzy Logic and Control Systems (12 papers). The work is most often cited by research in Management Science and Operations Research (3.3k citations), Computational Theory and Mathematics (1.4k citations), Statistics and Probability (676 citations), Artificial Intelligence (2.1k citations) and Signal Processing (395 citations). Mario Fedrizzi has collaborated with scholars based in Italy, Finland and Poland. Frequent co-authors include Janusz Kacprzyk, Ronald R. Yager, Hannu Nurmi, Matteo Brunelli, 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, Decisions in Economics and Finance, Fuzzy Sets and Systems, International series in management science/operations research/International series in operations research & management science and Annals of Operations Research.

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.

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