Luca De Cicco
- Computer Networks and Communications top 1%
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 1%
- Electrical and Electronic Engineering top 10%
- Sociology and Political Science top 10%
- Co-authors
- Saverio MascoloVittorio PalmisanoGaetano CarlucciStefan HolmerAnh Vu Nguyen‐NgocPhuoc Tran‐GiaThomas ZinnerEnrico Bocchi
- Topics
- Network Traffic and Congestion Control (36 papers)Image and Video Quality Assessment (26 papers)Video Coding and Compression Technologies (21 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlAutomatica
In The Last Decade
Luca De Cicco
59 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 919
- Computer Vision and Pattern Recognition 858
- Signal Processing 508
- Electrical and Electronic Engineering 353
- Sociology and Political Science 202
Countries citing papers authored by Luca De Cicco
This map shows the geographic impact of Luca De Cicco'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 Luca De Cicco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca De Cicco more than expected).
Fields of papers citing papers by Luca De Cicco
This network shows the impact of papers produced by Luca De Cicco. 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 Luca De Cicco. The network helps show where Luca De Cicco may publish in the future.
Co-authorship network of co-authors of Luca De Cicco
This figure shows the co-authorship network connecting the top 25 collaborators of Luca De Cicco. A scholar is included among the top collaborators of Luca De Cicco 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 Luca De Cicco. Luca De Cicco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 75 | |
| 14 | 26 | |
| 15 | 27 | |
| 16 | 11 | |
| 17 | 2 | |
| 18 | 12 | |
| 19 | 18 | |
| 20 | Observations of Bufferbloat in Swedish Cellular Networks | 1 |
About Luca De Cicco
Luca De Cicco is a scholar working on Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (36 papers), Image and Video Quality Assessment (26 papers) and Video Coding and Compression Technologies (21 papers). The work is most often cited by research in Signal Processing (508 citations), Computer Vision and Pattern Recognition (858 citations) and Computer Networks and Communications (919 citations). Luca De Cicco has collaborated with scholars based in Italy, Mexico and France. Frequent co-authors include Saverio Mascolo, Vittorio Palmisano, Gaetano Carlucci, Stefan Holmer, Anh Vu Nguyen‐Ngoc, Phuoc Tran‐Gia, Thomas Zinner, Enrico Bocchi, Joaquín García-Alfaro and Dario Rossi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.
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.