Paolo Vicig
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Computational Theory and Mathematics top 5%
- Statistics and Probability top 5%
- General Decision Sciences top 5%
- Co-authors
- Renato PelessoniIgnacio MontesEnrique MirandaPeter WalleyMarco ZaffalonPietro BaroniChiara CorsatoFábio Gagliardi Cozman
- Topics
- Bayesian Modeling and Causal Inference (23 papers)Multi-Criteria Decision Making (22 papers)Risk and Portfolio Optimization (13 papers)
- Cited by
- General Decision SciencesManagement Science and Operations ResearchStatistics and Probability
- Journals
- Fuzzy Sets and SystemsInternational Journal of Approximate ReasoningJournal of Statistical Planning and Inference
- Partner nations
- ItalySpainSwitzerland
In The Last Decade
Paolo Vicig
38 papers receiving 398 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 268
- Management Science and Operations Research 227
- Computational Theory and Mathematics 114
- Statistics and Probability 103
- General Decision Sciences 100
Countries citing papers authored by Paolo Vicig
This map shows the geographic impact of Paolo Vicig'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 Paolo Vicig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Vicig more than expected).
Fields of papers citing papers by Paolo Vicig
This network shows the impact of papers produced by Paolo Vicig. 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 Paolo Vicig. The network helps show where Paolo Vicig may publish in the future.
Co-authorship network of co-authors of Paolo Vicig
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Vicig. A scholar is included among the top collaborators of Paolo Vicig 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 Paolo Vicig. Paolo Vicig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Extending Nearly-Linear Models | 1 |
| 4 | 12 | |
| 5 | 10 | |
| 6 | 16 | |
| 7 | Weak Dutch Books versus strict consistency with lower previsions | 1 |
| 8 | 0 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 23 | |
| 12 | The Pari-Mutuel Model | 1 |
| 13 | 18 | |
| 14 | Shortfall-dependant Risk Measures (and Previsions). | 3 |
| 15 | 16 | |
| 16 | 15 | |
| 17 | 16 | |
| 18 | 20 | |
| 19 | 22 | |
| 20 | Epistemic Independence for Imprecise Probabilities. | 1 |
About Paolo Vicig
Paolo Vicig is a scholar working on General Decision Sciences, Management Science and Operations Research and Statistics and Probability, having authored 41 papers that have together received 429 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (23 papers), Multi-Criteria Decision Making (22 papers) and Risk and Portfolio Optimization (13 papers). The work is most often cited by research in General Decision Sciences (100 citations), Management Science and Operations Research (227 citations) and Statistics and Probability (103 citations). Paolo Vicig has collaborated with scholars based in Italy, Spain and Switzerland. Frequent co-authors include Renato Pelessoni, Ignacio Montes, Enrique Miranda, Peter Walley, Marco Zaffalon, Pietro Baroni, Chiara Corsato, Fábio Gagliardi Cozman, Teddy Seidenfeld and Luca Bortolussi. Their work appears in journals such as Fuzzy Sets and Systems, International Journal of Approximate Reasoning and Journal of Statistical Planning and Inference.
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.