Barbara Vantaggi

1.5k citations
83 papers · 799 · h-index 17

Impact in

Papers in

Barbara Vantaggi

72 papers receiving 727 citations

Peers

Barbara Vantaggi
Comparison fields: 5 of 86
  • General Decision Sciences 101
  • Management Science and Operations Research 309
  • Artificial Intelligence 518
  • Computational Theory and Mathematics 238
  • Statistics and Probability 114
Replace Hans Bandemer with:
Hans Bandemer Germany
Siegfried Weber Germany
Theodore Hailperin United States
Adam J. Grove United States
Václav Fabian United States
I. R. Goodman United States
Milan Studený Czechia
Diethard Pallaschke Germany
Rolf Haenni Switzerland
Catherine Doléans-Dade
Barbara Vantaggi relative to Hans Bandemer Germany Hans Bandemer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Barbara Vantaggi

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Vantaggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Barbara Vantaggi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Barbara Vantaggi Line = papers co-authored together Barbara Vantaggi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201635
2 200832
3 201531
4 200231
5 200824
6 200624
7 201823
8 201822
9 200122
10 201220
11 200219
12 201519
13 200618
14 201217
15 200316
16 200616
17 201616
18 201316
19 201414
20 200714

About Barbara Vantaggi

Barbara Vantaggi is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, General Decision Sciences and Economics and Econometrics, having authored 83 papers that have together received 799 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (43 papers), Logic, Reasoning, and Knowledge (29 papers), Multi-Criteria Decision Making (28 papers), Decision-Making and Behavioral Economics (15 papers), Rough Sets and Fuzzy Logic (13 papers), Advanced Algebra and Logic (10 papers), Risk and Portfolio Optimization (8 papers) and Data Management and Algorithms (6 papers). The work is most often cited by research in General Decision Sciences (101 citations), Management Science and Operations Research (309 citations), Artificial Intelligence (518 citations), Computational Theory and Mathematics (238 citations) and Statistics and Probability (114 citations). Barbara Vantaggi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Giulianella Coletti, Davide Petturiti, Andrea Capotorti, Romano Scozzafava, Francesca Pitolli, Erkki Somersalo, Daniela Calvetti, Marco Baioletti, Annalisa Pascarella and Marco Di Zio. Their work appears in journals such as International Journal of Approximate Reasoning, Fuzzy Sets and Systems, Soft Computing, Kybernetika and Information Sciences.

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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