Francesco Bergadano

2.2k total citations
74 papers, 1.1k citations indexed

About

Francesco Bergadano is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Francesco Bergadano has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 19 papers in Computer Networks and Communications and 16 papers in Computational Theory and Mathematics. Recurrent topics in Francesco Bergadano's work include Machine Learning and Algorithms (15 papers), Advanced Malware Detection Techniques (13 papers) and Semantic Web and Ontologies (9 papers). Francesco Bergadano is often cited by papers focused on Machine Learning and Algorithms (15 papers), Advanced Malware Detection Techniques (13 papers) and Semantic Web and Ontologies (9 papers). Francesco Bergadano collaborates with scholars based in Italy, United States and Belgium. Francesco Bergadano's co-authors include Daniele Gunetti, Claudia Picardi, Bruno Crispo, Lorenza Saitta, Stefano Varricchio, Attilio Giordana, Ryszard S. Michalski, Stan Matwin, Jiaxing Zhang and Davide Cavagnino and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Francesco Bergadano

68 papers receiving 945 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francesco Bergadano Italy 17 531 500 367 196 169 74 1.1k
Claudia Picardi Italy 11 711 1.3× 149 0.3× 534 1.5× 89 0.5× 59 0.3× 24 887
James G. Schmolze United States 11 288 0.5× 1.7k 3.3× 174 0.5× 484 2.5× 151 0.9× 20 1.9k
Phyllis Reisner United States 8 218 0.4× 493 1.0× 300 0.8× 523 2.7× 26 0.2× 9 897
Susanne Wetzel United States 16 789 1.5× 316 0.6× 630 1.7× 459 2.3× 42 0.2× 57 1.3k
Alain Mayer United States 17 617 1.2× 492 1.0× 481 1.3× 689 3.5× 101 0.6× 32 1.4k
Donald E. Porter United States 22 649 1.2× 862 1.7× 447 1.2× 1.0k 5.1× 29 0.2× 95 1.7k
Setsuo Ohsuga Japan 13 304 0.6× 422 0.8× 107 0.3× 112 0.6× 322 1.9× 61 703
Ting‐Yi Chang Taiwan 17 520 1.0× 457 0.9× 225 0.6× 308 1.6× 72 0.4× 47 867
Moshé M. Zloof United States 10 294 0.6× 741 1.5× 547 1.5× 908 4.6× 33 0.2× 21 1.3k
Nicolas Gold United Kingdom 18 734 1.4× 249 0.5× 150 0.4× 196 1.0× 30 0.2× 84 1.1k

Countries citing papers authored by Francesco Bergadano

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Bergadano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Bergadano

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Bergadano. A scholar is included among the top collaborators of Francesco Bergadano 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 Francesco Bergadano. Francesco Bergadano 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
1.
Bergadano, Francesco, et al.. (2023). AI for Cybersecurity: Robust models for Authentication, Threat and Anomaly Detection. Directory of Open access Books (OAPEN Foundation). 1 indexed citations
2.
Bergadano, Francesco & Giorgio Giacinto. (2023). Special Issue “AI for Cybersecurity: Robust Models for Authentication, Threat and Anomaly Detection”. Algorithms. 16(7). 327–327. 1 indexed citations
3.
4.
Bergadano, Francesco, et al.. (2020). A modular framework for mobile security analysis. Information Security Journal A Global Perspective. 29(5). 220–243. 10 indexed citations
5.
Bergadano, Francesco, et al.. (2019). Defacement Detection with Passive Adversaries. Algorithms. 12(8). 150–150. 3 indexed citations
6.
Bergadano, Francesco. (2019). Keyed learning: An adversarial learning framework—formalization, challenges, and anomaly detection applications. ETRI Journal. 41(5). 608–618. 3 indexed citations
7.
Bergadano, Francesco, Alessandro Mantelero, Giancarlo Ruffo, & Giovanni Sartor. (2005). Digital privacy: tecnologie "conformate" e regole giuridiche. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations
8.
Bergadano, Francesco, Davide Cavagnino, & Bruno Crispo. (2002). Individual single source authentication on the MBONE. 1. 541–544. 25 indexed citations
9.
Bergadano, Francesco, Nader H. Bshouty, Christino Tamon, & Stefano Varricchio. (1997). On Learning Programs and Small Depth Circuits. 150–161. 1 indexed citations
10.
Bergadano, Francesco, Bruno Crispo, & Giancarlo Ruffo. (1997). Proactive password checking with decision trees. 67–77. 13 indexed citations
11.
Bergadano, Francesco, Nader H. Bshouty, & Stefano Varricchio. (1996). Learning Multivariate Polynomials from Substitution and Equivalence Queries. Electronic colloquium on computational complexity. 3. 4 indexed citations
12.
Bergadano, Francesco, et al.. (1996). Intelligent Agents: a Tool for Managing and Retrieving Information in Distributed Systems. 271–272. 1 indexed citations
13.
Bergadano, Francesco & Daniele Gunetti. (1995). A Unifying Framework. 91–105. 20 indexed citations
14.
Bergadano, Francesco & Daniele Gunetti. (1993). An Interactive System to Learn Functional Logic Programs.. Institutional Research Information System University of Turin (University of Turin). 1044–1049. 23 indexed citations
15.
Bergadano, Francesco. (1991). The problem of induction and machine learning. International Joint Conference on Artificial Intelligence. 1073–1078. 5 indexed citations
16.
Bergadano, Francesco, Attilio Giordana, & Lorenza Saitta. (1991). Machine learning: an integrated framework and its applications. Ellis Horwood eBooks. 15 indexed citations
17.
Bergadano, Francesco, Attilio Giordana, & Lorenza Saitta. (1990). Biasing induction by using a domain theory: an experimental evaluation. European Conference on Artificial Intelligence. 110(3). 84–89. 2 indexed citations
18.
Bergadano, Francesco, Attilio Giordana, & Lorenza Saitta. (1988). Concept Acquisition in an Integrated EBL and SBL Environment.. European Conference on Artificial Intelligence. 363–368. 1 indexed citations
19.
Bergadano, Francesco, Attilio Giordana, & Lorenza Saitta. (1987). Integrating EBL and SBL approaches to knowledge base refinement. 309–316. 1 indexed citations
20.
Bergadano, Francesco & Attilio Giordana. (1986). A framework for knowledge representation and use in pattern analysis. 423–431. 2 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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