Matteo Campanelli
- Information Systems top 5%
- Blockchain Technology Applications and Security 4
- Cloud Data Security Solutions 3
- Information and Cyber Security 1
- Artificial Intelligence top 10%
- Cryptography and Data Security 5
- Algorithms and Data Compression 2
- Neural Networks and Applications 1
- Multi-Agent Systems and Negotiation 1
-
- DNA and Biological Computing 2
- Co-authors
- Dario FioreRosario GennaroSteven GoldfederFilippo De AngelisMarco TaddeiFabio MarmottiniEdoardo MosconiFerdinando Costantino
- Journals
- Designs Codes and Cryptography (1 paper)International Journal of Foundations of Computer Science (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Matteo Campanelli
11 papers receiving 241 citations
Peers
Comparison fields: 5 of 41
- Information Systems 111
- Inorganic Chemistry 64
- Artificial Intelligence 140
- Renewable Energy, Sustainability and the Environment 24
- Signal Processing 15
Countries citing papers authored by Matteo Campanelli
This map shows the geographic impact of Matteo Campanelli'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 Matteo Campanelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Campanelli more than expected).
Fields of papers citing papers by Matteo Campanelli
This network shows the impact of papers produced by Matteo Campanelli. 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 Matteo Campanelli. The network helps show where Matteo Campanelli may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Matteo Campanelli, 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 8 | |
| 6 | 2019 | 78 | |
| 7 | 2019 | 62 | |
| 8 | 2017 | 63 | |
| 9 | 2017 | 23 | |
| 10 | 2012 | 2 | |
| 11 | An Efficient Algorithm for Approximate Pattern Matching with Swaps. | 2009 | 1 |
About Matteo Campanelli
Matteo Campanelli is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 11 papers that have together received 243 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Blockchain Technology Applications and Security (4 papers), Cloud Data Security Solutions (3 papers), DNA and Biological Computing (2 papers), Algorithms and Data Compression (2 papers), Information and Cyber Security (1 paper), Neural Networks and Applications (1 paper) and Multi-Agent Systems and Negotiation (1 paper). The work is most often cited by research in Information Systems (111 citations), Inorganic Chemistry (64 citations) and Artificial Intelligence (140 citations). Matteo Campanelli has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Dario Fiore, Rosario Gennaro, Steven Goldfeder, Filippo De Angelis, Marco Taddei, Fabio Marmottini, Edoardo Mosconi, Ferdinando Costantino, Roberto D’Amato and Tiziana Del Giacco. Their work appears in journals such as Designs Codes and Cryptography, International Journal of Foundations of Computer Science, ACS Applied Materials & Interfaces, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security and Scopus (Elsevier).
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.