Jorge Maestre Vidal
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Luis Javier García VillalbaMarco Antonio Sotelo MongeAna Lucila Sandoval OrozcoPantaleone NespoliFélix Gómez MármolGregorio Martínez PérezBorja Fernandez‐GaunaÁngel Leonardo Valdivieso Caraguay
- Topics
- Network Security and Intrusion Detection (29 papers)Advanced Malware Detection Techniques (18 papers)Information and Cyber Security (11 papers)
In The Last Decade
Jorge Maestre Vidal
35 papers receiving 421 citations
Peers
Comparison fields: 5 of 37
- Computer Networks and Communications 368
- Signal Processing 195
- Artificial Intelligence 190
- Information Systems 143
- Control and Systems Engineering 73
Countries citing papers authored by Jorge Maestre Vidal
This map shows the geographic impact of Jorge Maestre Vidal'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 Jorge Maestre Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Maestre Vidal more than expected).
Fields of papers citing papers by Jorge Maestre Vidal
This network shows the impact of papers produced by Jorge Maestre Vidal. 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 Jorge Maestre Vidal. The network helps show where Jorge Maestre Vidal may publish in the future.
Co-authorship network of co-authors of Jorge Maestre Vidal
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Maestre Vidal. A scholar is included among the top collaborators of Jorge Maestre Vidal 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 Jorge Maestre Vidal. Jorge Maestre Vidal 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 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 8 | |
| 9 | 33 | |
| 10 | 27 | |
| 11 | 18 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 16 | |
| 15 | 6 | |
| 16 | 62 | |
| 17 | 22 | |
| 18 | 10 | |
| 19 | 18 | |
| 20 | 15 |
About Jorge Maestre Vidal
Jorge Maestre Vidal is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 36 papers that have together received 436 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (29 papers), Advanced Malware Detection Techniques (18 papers) and Information and Cyber Security (11 papers). The work is most often cited by research in Signal Processing (195 citations), Computer Networks and Communications (368 citations) and Information Systems (143 citations). Jorge Maestre Vidal has collaborated with scholars based in Spain, Italy and Peru. Frequent co-authors include Luis Javier García Villalba, Marco Antonio Sotelo Monge, Ana Lucila Sandoval Orozco, Pantaleone Nespoli, Félix Gómez Mármol, Gregorio Martínez Pérez, Borja Fernandez‐Gauna, Ángel Leonardo Valdivieso Caraguay, Lorena Isabel Barona López and Francesco Torelli. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.
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.