Marco Zaffalon
- General Decision Sciences top 5%
- Artificial Intelligence top 1%
- Bayesian Modeling and Causal Inference 84
- Logic, Reasoning, and Knowledge 15
- Bayesian Methods and Mixture Models 11
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference 11
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- Multi-Criteria Decision Making 11
- Data Quality and Management 11
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- Rough Sets and Fuzzy Logic 25
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- Data Management and Algorithms 9
- Co-authors
- Enrique MirandaGiorgio CoraniAndrea Emilio RizzoliGert de CoomanMarcus HütterAlessandro AntonucciAlessio BenavoliCassio P. de Campos
- Journals
- International Journal of Approximate Reasoning (28 papers)Artificial Intelligence (7 papers)Journal of Statistical Planning and Inference (4 papers)
- Partner nations
- SwitzerlandSpainItaly
In The Last Decade
Marco Zaffalon
115 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 122
- General Decision Sciences 113
- Artificial Intelligence 1.2k
- Statistics and Probability 257
- Management Science and Operations Research 372
- Computational Theory and Mathematics 409
Countries citing papers authored by Marco Zaffalon
This map shows the geographic impact of Marco Zaffalon'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 Marco Zaffalon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Zaffalon more than expected).
Fields of papers citing papers by Marco Zaffalon
This network shows the impact of papers produced by Marco Zaffalon. 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 Marco Zaffalon. The network helps show where Marco Zaffalon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marco Zaffalon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 1 | |
| 2 | CREDICI: A Java Library for Causal Inference by Credal Networks. | 2020 | 3 |
| 3 | CREMA: A Java Library for Credal Network Inference | 2020 | 2 |
| 4 | 2018 | 18 | |
| 5 | Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables | 2016 | 19 |
| 6 | Learning Bayesian networks with thousands of variables | 2015 | 43 |
| 7 | A Bayesian nonparametric procedure for comparing algorithms | 2015 | 4 |
| 8 | 2014 | 13 | |
| 9 | 2013 | 25 | |
| 10 | 2013 | 7 | |
| 11 | Multiple model tracking by imprecise markov trees | 2009 | 7 |
| 12 | JNCC2: The Java Implementation Of Naive Credal Classifier 2 | 2008 | 8 |
| 13 | Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2 | 2008 | 37 |
| 14 | Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications | 2008 | 1 |
| 15 | 2006 | 6 | |
| 16 | Binarization Algorithms for Approximate Updating in Credal Nets | 2006 | 10 |
| 17 | Limits of Learning from Imperfect Observations under Prior Ignorance: the Case of the Imprecise Dirichlet Model | 2005 | 4 |
| 18 | Conservative Rules for Predictive Inference with Incomplete Data | 2005 | 16 |
| 19 | Statistical inference of the naive credal classifier. | 2001 | 29 |
| 20 | A Credal Approach to Naive Classification | 1999 | 10 |
About Marco Zaffalon
Marco Zaffalon is a scholar working on General Decision Sciences, Statistics and Probability and Artificial Intelligence, having authored 120 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (84 papers), Rough Sets and Fuzzy Logic (25 papers), Logic, Reasoning, and Knowledge (15 papers), Bayesian Methods and Mixture Models (11 papers), Multi-Criteria Decision Making (11 papers), Statistical Methods and Bayesian Inference (11 papers), Data Quality and Management (11 papers) and Data Management and Algorithms (9 papers). The work is most often cited by research in General Decision Sciences (113 citations), Artificial Intelligence (1.2k citations) and Statistics and Probability (257 citations). Marco Zaffalon has collaborated with scholars based in Switzerland, Spain and Italy. Frequent co-authors include Enrique Miranda, Giorgio Corani, Andrea Emilio Rizzoli, Gert de Cooman, Marcus Hütter, Alessandro Antonucci, Alessio Benavoli, Cassio P. de Campos, Luca Maria Gambardella and Mauro Scanagatta. Their work appears in journals such as International Journal of Approximate Reasoning, Artificial Intelligence, Journal of Statistical Planning and Inference, Computational Statistics & Data Analysis and Machine Learning.
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.