Renato Pelessoni

487 total citations
31 papers, 312 citations indexed

About

Renato Pelessoni is a scholar working on Management Science and Operations Research, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Renato Pelessoni has authored 31 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Management Science and Operations Research, 16 papers in Artificial Intelligence and 10 papers in Statistics and Probability. Recurrent topics in Renato Pelessoni's work include Multi-Criteria Decision Making (18 papers), Bayesian Modeling and Causal Inference (16 papers) and Risk and Portfolio Optimization (12 papers). Renato Pelessoni is often cited by papers focused on Multi-Criteria Decision Making (18 papers), Bayesian Modeling and Causal Inference (16 papers) and Risk and Portfolio Optimization (12 papers). Renato Pelessoni collaborates with scholars based in Italy, Spain and Switzerland. Renato Pelessoni's co-authors include Paolo Vicig, Peter Walley, Ignacio Montes, Enrique Miranda, Marco Zaffalon, Chiara Corsato and Pietro Baroni and has published in prestigious journals such as Fuzzy Sets and Systems, International Journal of Approximate Reasoning and Neuroepidemiology.

In The Last Decade

Renato Pelessoni

27 papers receiving 289 citations

Peers

Renato Pelessoni

MSOR

CTM

GDS

Paolo Vicig Italy

Davide Petturiti Italy

Jasper De Bock Belgium

C. Villegas Canada

Łukasz Stettner Poland

Pedro Miranda Spain

Andrea Stupňanová Slovakia

Chad Barrett United Kingdom

Andrea Mesiarová‐Zemánková Slovakia

Karthyek Murthy Singapore

Paolo Vicig Italy

Renato Pelessoni

268 ×1.4

227 ×1.4

MSOR

114 ×1.3

CTM

103 ×1.3

100 ×1.4

GDS

Citations per year, relative to Renato Pelessoni Renato Pelessoni (= 1×) peers Paolo Vicig

Countries citing papers authored by Renato Pelessoni

Since Specialization

Citations

This map shows the geographic impact of Renato Pelessoni'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 Renato Pelessoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renato Pelessoni more than expected).

Fields of papers citing papers by Renato Pelessoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renato Pelessoni. 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 Renato Pelessoni. The network helps show where Renato Pelessoni may publish in the future.

Co-authorship network of co-authors of Renato Pelessoni

This figure shows the co-authorship network connecting the top 25 collaborators of Renato Pelessoni. A scholar is included among the top collaborators of Renato Pelessoni 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 Renato Pelessoni. Renato Pelessoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pelessoni, Renato & Paolo Vicig. (2024). Bhatia-Davis inequalities for lower and upper previsions and covariances. Fuzzy Sets and Systems. 498. 109145–109145.

Pelessoni, Renato & Paolo Vicig. (2021). Dilation properties of coherent Nearly-Linear models. International Journal of Approximate Reasoning. 140. 211–231. 1 indexed citations

Corsato, Chiara, Renato Pelessoni, & Paolo Vicig. (2019). Extending Nearly-Linear Models. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 103. 82–90. 1 indexed citations

Corsato, Chiara, Renato Pelessoni, & Paolo Vicig. (2019). Nearly-Linear uncertainty measures. International Journal of Approximate Reasoning. 114. 1–28. 10 indexed citations

Corsato, Chiara, Renato Pelessoni, & Paolo Vicig. (2017). Weak Dutch Books versus strict consistency with lower previsions. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 62. 85–96. 1 indexed citations

Corsato, Chiara, Renato Pelessoni, & Paolo Vicig. (2017). Weak Dutch Books with imprecise previsions. International Journal of Approximate Reasoning. 88. 72–90.

Pelessoni, Renato & Paolo Vicig. (2017). Weakly consistent extensions of lower previsions. Fuzzy Sets and Systems. 328. 83–106. 2 indexed citations

Pelessoni, Renato, Paolo Vicig, Ignacio Montes, & Enrique Miranda. (2016). Bivariate p-boxes. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 24(2). 229–263. 26 indexed citations

Pelessoni, Renato & Paolo Vicig. (2015). Weak Consistency for Imprecise Conditional Previsions. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 2 indexed citations

10.

Pelessoni, Renato & Paolo Vicig. (2014). The Goodman–Nguyen relation within imprecise probability theory. International Journal of Approximate Reasoning. 55(8). 1694–1707. 12 indexed citations

11.

Montes, Ignacio, Enrique Miranda, Renato Pelessoni, & Paolo Vicig. (2014). Sklar's theorem in an imprecise setting. Fuzzy Sets and Systems. 278. 48–66. 34 indexed citations

12.

Pelessoni, Renato, Paolo Vicig, & Marco Zaffalon. (2010). Inference and risk measurement with the pari-mutuel model. International Journal of Approximate Reasoning. 51(9). 1145–1158. 23 indexed citations

13.

Pelessoni, Renato, et al.. (2009). The Pari-Mutuel Model. 347–356. 1 indexed citations

14.

Pelessoni, Renato & Paolo Vicig. (2009). Bayes' Theorem Bounds for Convex Lower Previsions. Journal of Statistical Theory and Practice. 3(1). 85–101. 3 indexed citations

15.

Pelessoni, Renato & Paolo Vicig. (2008). Williams coherence and beyond. International Journal of Approximate Reasoning. 50(4). 612–626. 18 indexed citations

16.

Baroni, Pietro, Renato Pelessoni, & Paolo Vicig. (2007). Shortfall-dependant Risk Measures (and Previsions).. Institutional Research Information System (Università degli Studi di Brescia). 1. 281–288. 3 indexed citations

17.

Pelessoni, Renato & Paolo Vicig. (2004). Uncertainty modelling and conditioning with convex imprecise previsions. International Journal of Approximate Reasoning. 39(2-3). 297–319. 20 indexed citations

18.

Walley, Peter, Renato Pelessoni, & Paolo Vicig. (2003). Direct algorithms for checking consistency and making inferences from conditional probability assessments. Journal of Statistical Planning and Inference. 126(1). 119–151. 58 indexed citations

19.

Pelessoni, Renato, et al.. (1999). An application of unsupervised neural networks in general insurance: the determination of tariff classes. Neuroepidemiology. 64–75.

20.

Pelessoni, Renato & Paolo Vicig. (1998). A Consistency Problem for Imprecise Conditional Probability Assessments. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 2. 1478–1485. 15 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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