Gabriel Maciá‐Fernández
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 0.5%
- Signal Processing top 0.5%
- Information Systems top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Pedro García‐TeodoroJesús E. Dı́az-VerdejoEnrique VázquezJosé CamachoRafael A. Rodríguez‐GómezRoberto Magán‐CarriónRoberto TherónEdoardo Saccenti
- Topics
- Network Security and Intrusion Detection (25 papers)Internet Traffic Analysis and Secure E-voting (13 papers)Anomaly Detection Techniques and Applications (12 papers)
- Partner nations
- SpainChinaUnited States
In The Last Decade
Gabriel Maciá‐Fernández
39 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Computer Networks and Communications 1.9k
- Artificial Intelligence 1.4k
- Signal Processing 896
- Information Systems 336
- Control and Systems Engineering 268
Countries citing papers authored by Gabriel Maciá‐Fernández
This map shows the geographic impact of Gabriel Maciá‐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 Gabriel Maciá‐Fernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Maciá‐Fernández more than expected).
Fields of papers citing papers by Gabriel Maciá‐Fernández
This network shows the impact of papers produced by Gabriel Maciá‐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 Gabriel Maciá‐Fernández. The network helps show where Gabriel Maciá‐Fernández may publish in the future.
Co-authorship network of co-authors of Gabriel Maciá‐Fernández
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Maciá‐Fernández. A scholar is included among the top collaborators of Gabriel Maciá‐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 Gabriel Maciá‐Fernández. Gabriel Maciá‐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 | 8 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 24 | |
| 6 | 37 | |
| 7 | 17 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 131 | |
| 11 | 7 | |
| 12 | 88 | |
| 13 | 26 | |
| 14 | 72 | |
| 15 | 41 | |
| 16 | 6 | |
| 17 | 15 | |
| 18 | 61 | |
| 19 | 26 | |
| 20 | 42 |
About Gabriel Maciá‐Fernández
Gabriel Maciá‐Fernández is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 41 papers that have together received 2.2k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (25 papers), Internet Traffic Analysis and Secure E-voting (13 papers) and Anomaly Detection Techniques and Applications (12 papers). The work is most often cited by research in Computer Networks and Communications (1.9k citations), Signal Processing (896 citations) and Artificial Intelligence (1.4k citations). Gabriel Maciá‐Fernández has collaborated with scholars based in Spain, China and United States. Frequent co-authors include Pedro García‐Teodoro, Jesús E. Dı́az-Verdejo, Enrique Vázquez, José Camacho, Rafael A. Rodríguez‐Gómez, Roberto Magán‐Carrión, Roberto Therón, Edoardo Saccenti, Nestor Michael C. Tiglao and António Grilo. Their work appears in journals such as IEEE Access, IEEE Communications Magazine and ACM Computing Surveys.
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.