Mario Fedrizzi

5.9k total citations · 1 hit paper
72 papers, 3.3k citations indexed

About

Mario Fedrizzi is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Mario Fedrizzi has authored 72 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Management Science and Operations Research, 30 papers in Artificial Intelligence and 22 papers in Computational Theory and Mathematics. Recurrent topics in Mario Fedrizzi's work include Multi-Criteria Decision Making (42 papers), Rough Sets and Fuzzy Logic (13 papers) and Fuzzy Systems and Optimization (10 papers). Mario Fedrizzi is often cited by papers focused on Multi-Criteria Decision Making (42 papers), Rough Sets and Fuzzy Logic (13 papers) and Fuzzy Systems and Optimization (10 papers). Mario Fedrizzi collaborates with scholars based in Italy, Finland and Poland. Mario Fedrizzi's co-authors include Janusz Kacprzyk, Matteo Brunelli, Ronald R. Yager, Hannu Nurmi, Gloria Bordogna, Gabriella Pasi, Silvio Giove, Ricardo Alberto Marques Pereira, Sławomir Zadrożny and Mikael Collan and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Information Sciences.

In The Last Decade

Mario Fedrizzi

70 papers receiving 3.2k citations

Hit Papers

Advances in the Dempster-Shafer theory of evidence 1994 2026 2004 2015 1994 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mario Fedrizzi Italy 24 2.4k 1.4k 962 491 448 72 3.3k
Xunjie Gou China 33 3.2k 1.3× 1.1k 0.8× 1.2k 1.2× 540 1.1× 863 1.9× 89 4.3k
Cong‐Cong Li China 25 2.4k 1.0× 1.5k 1.0× 983 1.0× 229 0.5× 344 0.8× 71 3.2k
Javier Montero Spain 29 2.0k 0.8× 1.2k 0.8× 1.3k 1.4× 738 1.5× 410 0.9× 174 3.6k
Marc Roubens Belgium 28 3.1k 1.3× 1.6k 1.1× 1.4k 1.4× 1.1k 2.3× 780 1.7× 66 4.4k
Henri Prade France 26 1.3k 0.6× 2.1k 1.5× 1.0k 1.0× 516 1.1× 219 0.5× 99 3.2k
Zaiwu Gong China 35 2.2k 0.9× 1.0k 0.7× 415 0.4× 355 0.7× 349 0.8× 167 3.5k
Jean‐Luc Marichal Luxembourg 27 2.9k 1.2× 1.1k 0.8× 1.1k 1.2× 1.5k 3.0× 780 1.7× 97 4.0k
Jindong Qin China 33 2.6k 1.1× 954 0.7× 541 0.6× 563 1.1× 681 1.5× 84 3.4k
Jiu-Ying Dong China 39 3.3k 1.4× 994 0.7× 745 0.8× 762 1.6× 1.3k 2.9× 117 4.0k
Fanyong Meng China 34 3.0k 1.3× 1.0k 0.7× 858 0.9× 868 1.8× 1.2k 2.6× 176 3.5k

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-authorship network of co-authors of Mario Fedrizzi

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Fedrizzi. A scholar is included among the top collaborators of Mario Fedrizzi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Fedrizzi. Mario Fedrizzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Brunelli, Matteo, et al.. (2022). A novel perspective on the inconsistency indices of reciprocal relations and pairwise comparison matrices. Fuzzy Sets and Systems. 454. 74–99. 13 indexed citations
2.
Fedrizzi, Mario, et al.. (2020). Inconsistency evaluation in pairwise comparison using norm-based distances. Decisions in Economics and Finance. 43(2). 657–672. 2 indexed citations
3.
Fedrizzi, Mario, et al.. (2019). The linear algebra of pairwise comparisons. International Journal of Approximate Reasoning. 118. 190–207. 10 indexed citations
4.
Krejčí, Jana, Dario Petri, & Mario Fedrizzi. (2017). From Measurement to Decision with the Analytic Hierarchy Process: Propagation of Uncertainty to Decision Outcome. IEEE Transactions on Instrumentation and Measurement. 66(12). 3228–3236. 14 indexed citations
5.
Fedrizzi, Mario, et al.. (2017). The binomial decomposition of generalized Gini welfare functions, the S-Gini and Lorenzen cases. Information Sciences. 460-461. 555–577. 3 indexed citations
6.
Collan, Mikael, Mario Fedrizzi, & Janusz Kacprzyk. (2015). Fuzzy Technology: Present Applications and Future Challenges. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations
7.
Collan, Mikael, Mario Fedrizzi, & Pasi Luukka. (2015). New Closeness Coefficients for Fuzzy Similarity Based Fuzzy TOPSIS: An Approach Combining Fuzzy Entropy and Multidistance. Advances in Fuzzy Systems. 2015. 1–12. 16 indexed citations
8.
Luukka, Pasi, Mikael Collan, & Mario Fedrizzi. (2015). A Dynamic Fuzzy Consensus Model with Random Iterative Steps. 267. 1474–1482. 3 indexed citations
9.
Brunelli, Matteo & Mario Fedrizzi. (2014). Boundary properties of the inconsistency of pairwise comparisons in group decisions. European Journal of Operational Research. 240(3). 765–773. 38 indexed citations
10.
Luukka, Pasi, et al.. (2013). Fuzzy Similarity based Fuzzy TOPSIS with Multi-distances. 193–200. 1 indexed citations
11.
Greco, Salvatore, Bernadette Bouchon‐Meunier, Giulianella Coletti, et al.. (2012). Advances in Computational Intelligence, Part III: 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2012, Catania, Italy, July 2012, Proceedings, Part III. 708–708. 2 indexed citations
12.
Fedrizzi, Mario, et al.. (2012). CONSENSUAL DYNAMICS AND CHOQUET INTEGRAL IN AN ATTACK TREE-BASED FRAUD DETECTION SYSTEM. 283–288. 2 indexed citations
13.
Fedrizzi, Mario, et al.. (2011). Combining attack trees and fuzzy numbers in a multi-agent approach to fraud detection. International Journal of Electronic Business. 9(3). 186–186. 3 indexed citations
14.
Ruan, Da, Janusz Kacprzyk, & Mario Fedrizzi. (2001). Soft Computing for Risk Evaluation and Management: Applications in Technology, Environment and Finance. Physica-Verlag eBooks. 26 indexed citations
15.
Fedrizzi, Mario, Janusz Kacprzyk, & Hannu Nurmi. (1996). How different are social choice functions: a rough sets approach. Quality & Quantity. 30(1). 87–99. 4 indexed citations
16.
Kacprzyk, Janusz & Mario Fedrizzi. (1995). Developing a fuzzy logic controller in case of sparse testimonies. International Journal of Approximate Reasoning. 12(3-4). 221–236. 4 indexed citations
17.
Yager, Ronald R., Janusz Kacprzyk, & Mario Fedrizzi. (1994). Advances in the Dempster-Shafer theory of evidence. Institutional Research Information System (Università degli Studi di Trento). 588 indexed citations breakdown →
18.
Fedrizzi, Mario, et al.. (1994). Fuzzy Multiple Objective Programming Techniques in Modeling Forest Planning. 3 indexed citations
19.
Fedrizzi, Mario, et al.. (1993). Towards fuzzy modelling in economics. Fuzzy Sets and Systems. 54(3). 259–268. 21 indexed citations
20.
Kacprzyk, Janusz, Mario Fedrizzi, & Hannu Nurmi. (1992). Group decision making and consensus under fuzzy preferences and fuzzy majority. Fuzzy Sets and Systems. 49(1). 21–31. 310 indexed citations

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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