Marco Zaffalon

115 papers receiving 1.6k citations

Peers

Marco Zaffalon
Comparison fields: 5 of 122
  • Artificial Intelligence 1.2k
  • Computational Theory and Mathematics 409
  • Management Science and Operations Research 372
  • Statistics and Probability 257
  • Industrial and Manufacturing Engineering 221
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J. A. Bather United Kingdom
Inés Couso Spain
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Citations per field
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Citations per year

Countries citing papers authored by Marco Zaffalon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Marco Zaffalon

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Zaffalon. A scholar is included among the top collaborators of Marco Zaffalon 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 Marco Zaffalon. Marco Zaffalon 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
#WorkIndexed citations
1 1
2
CREDICI: A Java Library for Causal Inference by Credal Networks.
3
3
CREMA: A Java Library for Credal Network Inference
2
4 18
5
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables
19
6
Learning Bayesian networks with thousands of variables
43
7
A Bayesian nonparametric procedure for comparing algorithms
4
8 13
9 25
10 7
11
Multiple model tracking by imprecise markov trees
7
12
JNCC2: The Java Implementation Of Naive Credal Classifier 2
8
13
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
37
14
Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications
1
15 6
16
Binarization Algorithms for Approximate Updating in Credal Nets
10
17
Limits of Learning from Imperfect Observations under Prior Ignorance: the Case of the Imprecise Dirichlet Model
4
18
Conservative Rules for Predictive Inference with Incomplete Data
16
19
Statistical inference of the naive credal classifier.
29
20
A Credal Approach to Naive Classification
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) and Logic, Reasoning, and Knowledge (15 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 Physical Review Letters, PLoS ONE and IEEE Transactions on Automatic Control.

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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