Pietro Ducange
- Artificial Intelligence top 1%
- Fuzzy Logic and Control Systems 25
- Metaheuristic Optimization Algorithms Research 21
- Evolutionary Algorithms and Applications 20
- Explainable Artificial Intelligence (XAI) 11
- Privacy-Preserving Technologies in Data 11
- Data Stream Mining Techniques 8
- Transportation top 5%
- Health Informatics top 5%
- Information Systems top 2%
- Data Mining Algorithms and Applications 9
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- Network Security and Intrusion Detection 9
- Co-authors
- Francesco MarcelloniBeatrice LazzeriniMichela AntonelliEleonora D’AndreaAlessandro RendaAlessio BechiniMichela FazzolariRiccardo Pecori
- Journals
- Expert Systems with Applications (2 papers)IEEE Access (5 papers)Information Sciences (3 papers)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Pietro Ducange
83 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 1.4k
- Transportation 140
- Health Informatics 26
- Management Science and Operations Research 184
- Information Systems 287
Countries citing papers authored by Pietro Ducange
This map shows the geographic impact of Pietro Ducange'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 Pietro Ducange with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pietro Ducange more than expected).
Fields of papers citing papers by Pietro Ducange
This network shows the impact of papers produced by Pietro Ducange. 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 Pietro Ducange. The network helps show where Pietro Ducange may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pietro Ducange, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 52 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 18 | |
| 14 | 2020 | 86 | |
| 15 | 2020 | 12 | |
| 16 | 2019 | 15 | |
| 17 | 2018 | 111 | |
| 18 | 2015 | 85 | |
| 19 | 2015 | 32 | |
| 20 | Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems | 2009 | 4 |
About Pietro Ducange
Pietro Ducange is a scholar working on Health Informatics, Artificial Intelligence and Information Systems, having authored 97 papers that have together received 2.1k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (25 papers), Metaheuristic Optimization Algorithms Research (21 papers), Evolutionary Algorithms and Applications (20 papers), Explainable Artificial Intelligence (XAI) (11 papers), Privacy-Preserving Technologies in Data (11 papers), Network Security and Intrusion Detection (9 papers), Data Mining Algorithms and Applications (9 papers) and Data Stream Mining Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Transportation (140 citations) and Health Informatics (26 citations). Pietro Ducange has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Francesco Marcelloni, Beatrice Lazzerini, Michela Antonelli, Eleonora D’Andrea, Alessandro Renda, Alessio Bechini, Michela Fazzolari, Riccardo Pecori, Armando Segatori and Massimo Vecchio. Their work appears in journals such as Expert Systems with Applications, IEEE Access 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.