José M. Moya
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Co-authors
- Patricia ArrobaZorana BankovićPedro MalagónJuan Carlos VallejoJosé L. Risco‐MartínÁlvaro AraújoRoberto BlancoDaniel Villanueva
- Topics
- Network Security and Intrusion Detection (13 papers)Security in Wireless Sensor Networks (10 papers)IoT and Edge/Fog Computing (8 papers)
In The Last Decade
José M. Moya
32 papers receiving 285 citations
Peers
Comparison fields: 5 of 64
- Computer Networks and Communications 159
- Artificial Intelligence 109
- Information Systems 66
- Electrical and Electronic Engineering 49
- Signal Processing 45
Countries citing papers authored by José M. Moya
This map shows the geographic impact of José M. Moya'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 José M. Moya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José M. Moya more than expected).
Fields of papers citing papers by José M. Moya
This network shows the impact of papers produced by José M. Moya. 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 José M. Moya. The network helps show where José M. Moya may publish in the future.
Co-authorship network of co-authors of José M. Moya
This figure shows the co-authorship network connecting the top 25 collaborators of José M. Moya. A scholar is included among the top collaborators of José M. Moya 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 José M. Moya. José M. Moya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 14 | |
| 3 | 9 | |
| 4 | 13 | |
| 5 | 28 | |
| 6 | RELOAD+REFRESH: Abusing Cache Replacement Policies to Perform Stealthy Cache Attacks. | 6 |
| 7 | 9 | |
| 8 | 12 | |
| 9 | 14 | |
| 10 | 19 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | Detecting Bad-Mouthing Attacks on Reputation Systems Using Self-Organizing Maps | 9 |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 25 | |
| 17 | 2 | |
| 18 | 13 | |
| 19 | 17 | |
| 20 | 8 |
About José M. Moya
José M. Moya is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 33 papers that have together received 298 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), Security in Wireless Sensor Networks (10 papers) and IoT and Edge/Fog Computing (8 papers). The work is most often cited by research in Computer Networks and Communications (159 citations), Signal Processing (45 citations) and Artificial Intelligence (109 citations). José M. Moya has collaborated with scholars based in Spain, Australia and Germany. Frequent co-authors include Patricia Arroba, Zorana Banković, Pedro Malagón, Juan Carlos Vallejo, José L. Risco‐Martín, Álvaro Araújo, Roberto Blanco, Daniel Villanueva, Elena Romero and José L. Ayala. Their work appears in journals such as Sensors, Information Sciences and Future Generation Computer Systems.
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.