Francesco Palmieri
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 0.5%
- Information Systems top 0.2%
- Electrical and Electronic Engineering top 5%
- Signal Processing top 0.5%
- Co-authors
- Aniello CastiglioneUgo FioreGianni D’AngeloMassimo FiccoAlfredo De SantisChristian EspositoArcangelo CastiglioneP Zanetti
- Topics
- Network Security and Intrusion Detection (38 papers)Internet Traffic Analysis and Secure E-voting (24 papers)Advanced Malware Detection Techniques (24 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsIEEE Access
In The Last Decade
Francesco Palmieri
223 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Computer Networks and Communications 2.6k
- Artificial Intelligence 2.1k
- Information Systems 1.5k
- Electrical and Electronic Engineering 1.0k
- Signal Processing 946
Countries citing papers authored by Francesco Palmieri
This map shows the geographic impact of Francesco Palmieri'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 Francesco Palmieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Palmieri more than expected).
Fields of papers citing papers by Francesco Palmieri
This network shows the impact of papers produced by Francesco Palmieri. 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 Francesco Palmieri. The network helps show where Francesco Palmieri may publish in the future.
Co-authorship network of co-authors of Francesco Palmieri
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Palmieri. A scholar is included among the top collaborators of Francesco Palmieri 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 Francesco Palmieri. Francesco Palmieri 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 | 0 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 9 | |
| 10 | 18 | |
| 11 | 10 | |
| 12 | 8 | |
| 13 | 44 | |
| 14 | 2 | |
| 15 | 16 | |
| 16 | 6 | |
| 17 | 14 | |
| 18 | 25 | |
| 19 | Genetic-based traffic engineering in GMPLS networks | 1 |
| 20 | The Diversification Role of Crossover in the Genetic Algorithms | 7 |
About Francesco Palmieri
Francesco Palmieri is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 234 papers that have together received 5.5k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (38 papers), Internet Traffic Analysis and Secure E-voting (24 papers) and Advanced Malware Detection Techniques (24 papers). The work is most often cited by research in Computer Networks and Communications (2.6k citations), Signal Processing (946 citations) and Information Systems (1.5k citations). Francesco Palmieri has collaborated with scholars based in Italy, Spain and China. Frequent co-authors include Aniello Castiglione, Ugo Fiore, Gianni D’Angelo, Massimo Ficco, Alfredo De Santis, Christian Esposito, Arcangelo Castiglione, P Zanetti, Sergio Ricciardi and Francesca Perla. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Access.
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.