Agostino Forestiero
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- Peer-to-Peer Network Technologies 16
- Distributed and Parallel Computing Systems 16
- IoT and Edge/Fog Computing 15
- Distributed systems and fault tolerance 9
- Network Security and Intrusion Detection 8
- Health Informatics top 5%
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications 10
- Data Stream Mining Techniques 9
- Metaheuristic Optimization Algorithms Research 9
- Signal Processing top 5%
- Co-authors
- Giandomenico SpezzanoCarlo MastroianniGiuseppe PapuzzoClara PizzutiCarmela ComitoLaith AbualigahFaiza GulImran Mir
- Journals
- SHILAP Revista de lepidopterología (1 paper)ACS Applied Materials & Interfaces (2 papers)Expert Systems with Applications (1 paper)
In The Last Decade
Agostino Forestiero
85 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 124
- Computer Networks and Communications 545
- Health Informatics 31
- Artificial Intelligence 516
- Signal Processing 144
- Health Information Management 53
Countries citing papers authored by Agostino Forestiero
This map shows the geographic impact of Agostino Forestiero'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 Agostino Forestiero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agostino Forestiero more than expected).
Fields of papers citing papers by Agostino Forestiero
This network shows the impact of papers produced by Agostino Forestiero. 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 Agostino Forestiero. The network helps show where Agostino Forestiero may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Agostino Forestiero, 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 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 9 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 21 | |
| 13 | 2022 | 43 | |
| 14 | 2021 | 33 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 1 | |
| 17 | 2020 | 1 | |
| 18 | Description of the Self-Chord P2P Application. | 2011 | 1 |
| 19 | A multidimensional flocking algorithm for clustering spatial data. | 2006 | 0 |
| 20 | 2005 | 2 |
About Agostino Forestiero
Agostino Forestiero is a scholar working on Computer Networks and Communications, Health Information Management and Health Informatics, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (16 papers), Distributed and Parallel Computing Systems (16 papers), IoT and Edge/Fog Computing (15 papers), Anomaly Detection Techniques and Applications (10 papers), Distributed systems and fault tolerance (9 papers), Data Stream Mining Techniques (9 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Network Security and Intrusion Detection (8 papers). The work is most often cited by research in Computer Networks and Communications (545 citations), Health Informatics (31 citations) and Artificial Intelligence (516 citations). Agostino Forestiero has collaborated with scholars based in Italy, India and Jordan. Frequent co-authors include Giandomenico Spezzano, Carlo Mastroianni, Giuseppe Papuzzo, Clara Pizzuti, Carmela Comito, Laith Abualigah, Faiza Gul, Imran Mir, Michela Meo and Gianluigi Folino. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and Expert Systems with Applications.
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.