Riccardo Pecori
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Co-authors
- Luca VeltriMarta CimitileMario Luca BernardiLerina AversanoPietro DucangeMassimo VecchioFrancesco MarcelloniGiovanni Perrone
- Topics
- Network Security and Intrusion Detection (10 papers)Internet Traffic Analysis and Secure E-voting (8 papers)Anomaly Detection Techniques and Applications (7 papers)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Riccardo Pecori
43 papers receiving 690 citations
Peers
Comparison fields: 5 of 96
- Computer Networks and Communications 385
- Artificial Intelligence 326
- Information Systems 169
- Signal Processing 144
- Electrical and Electronic Engineering 63
Countries citing papers authored by Riccardo Pecori
This map shows the geographic impact of Riccardo Pecori'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 Riccardo Pecori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Pecori more than expected).
Fields of papers citing papers by Riccardo Pecori
This network shows the impact of papers produced by Riccardo Pecori. 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 Riccardo Pecori. The network helps show where Riccardo Pecori may publish in the future.
Co-authorship network of co-authors of Riccardo Pecori
This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Pecori. A scholar is included among the top collaborators of Riccardo Pecori 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 Riccardo Pecori. Riccardo Pecori 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 | 0 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 24 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 25 | |
| 9 | 2 | |
| 10 | 14 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 11 | |
| 15 | 73 | |
| 16 | 15 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 11 | |
| 20 | A key agreement protocol for P2P VoIP applications | 9 |
About Riccardo Pecori
Riccardo Pecori is a scholar working on Computer Networks and Communications, Artificial Intelligence and Health Informatics, having authored 47 papers that have together received 727 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Internet Traffic Analysis and Secure E-voting (8 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Computer Networks and Communications (385 citations), Signal Processing (144 citations) and Artificial Intelligence (326 citations). Riccardo Pecori has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Luca Veltri, Marta Cimitile, Mario Luca Bernardi, Lerina Aversano, Pietro Ducange, Massimo Vecchio, Francesco Marcelloni, Giovanni Perrone, Raffaele Giaffreda and Armando Vannucci. Their work appears in journals such as IEEE Access, Sensors and Pattern Recognition.
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.