David Fernández
- Computer Networks and Communications top 2%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Co-authors
- Antonio J. JaraAntonio SkármetaWenjun FanLuis BellidoMiguel A. ZamoraZhihui DuVíctor A. VillagráAlícia Fornés
- Topics
- Software-Defined Networks and 5G (22 papers)Network Security and Intrusion Detection (12 papers)IoT and Edge/Fog Computing (12 papers)
- Cited by
- Computer Networks and CommunicationsSignal ProcessingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Communications Magazine
In The Last Decade
David Fernández
63 papers receiving 652 citations
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 489
- Artificial Intelligence 139
- Computer Vision and Pattern Recognition 136
- Information Systems 134
- Electrical and Electronic Engineering 115
Countries citing papers authored by David Fernández
This map shows the geographic impact of David Fernández'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 David Fernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Fernández more than expected).
Fields of papers citing papers by David Fernández
This network shows the impact of papers produced by David Fernández. 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 David Fernández. The network helps show where David Fernández may publish in the future.
Co-authorship network of co-authors of David Fernández
This figure shows the co-authorship network connecting the top 25 collaborators of David Fernández. A scholar is included among the top collaborators of David Fernández 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 David Fernández. David Fernández 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 59 | |
| 10 | Dynamic Hybrid Honeypot System Based Transparent Traffic Redirection Mechanism | 1 |
| 11 | Enhancing learning experience in computer networking through a virtualization-based laboratory model | 10 |
| 12 | 9 | |
| 13 | 5 | |
| 14 | 13 | |
| 15 | 6 | |
| 16 | 53 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 2 |
About David Fernández
David Fernández is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 65 papers that have together received 689 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (22 papers), Network Security and Intrusion Detection (12 papers) and IoT and Edge/Fog Computing (12 papers). The work is most often cited by research in Computer Networks and Communications (489 citations), Signal Processing (108 citations) and Computer Vision and Pattern Recognition (136 citations). David Fernández has collaborated with scholars based in Spain, Ecuador and China. Frequent co-authors include Antonio J. Jara, Antonio Skármeta, Wenjun Fan, Luis Bellido, Miguel A. Zamora, Zhihui Du, Víctor A. Villagrá, Alícia Fornés, Josep Lladós and Fermín Galán. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Communications Magazine.
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.