Matteo Campanelli
- Artificial Intelligence top 10%
- Information Systems top 5%
- Inorganic Chemistry
- Materials Chemistry
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Dario FioreRosario GennaroSteven GoldfederFilippo De AngelisMarco TaddeiFabio MarmottiniEdoardo MosconiFerdinando Costantino
- Topics
- Cryptography and Data Security (5 papers)Blockchain Technology Applications and Security (4 papers)Cloud Data Security Solutions (3 papers)
- Journals
- ACS Applied Materials & InterfacesDesigns Codes and CryptographyInternational Journal of Foundations of Computer Science
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Matteo Campanelli
11 papers receiving 241 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 140
- Information Systems 111
- Inorganic Chemistry 64
- Materials Chemistry 61
- Renewable Energy, Sustainability and the Environment 24
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 of co-authors of Matteo Campanelli
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Campanelli. A scholar is included among the top collaborators of Matteo Campanelli 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 Matteo Campanelli. Matteo Campanelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 78 | |
| 7 | 62 | |
| 8 | 63 | |
| 9 | 23 | |
| 10 | 2 | |
| 11 | An Efficient Algorithm for Approximate Pattern Matching with Swaps. | 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) and Cloud Data Security Solutions (3 papers). 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 ACS Applied Materials & Interfaces, Designs Codes and Cryptography and International Journal of Foundations of Computer Science.
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.