Vanesa Daza
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Josep Domingo‐FerrerFrancesc SebéAlexandre ViejoMatteo SignoriniJavier HerranzRoberto Di PietroPaz MorilloCarla Ràfols
- Topics
- Cryptography and Data Security (13 papers)Blockchain Technology Applications and Security (10 papers)Cryptographic Implementations and Security (5 papers)
In The Last Decade
Vanesa Daza
34 papers receiving 362 citations
Peers
Comparison fields: 5 of 48
- Computer Networks and Communications 196
- Artificial Intelligence 173
- Information Systems 153
- Electrical and Electronic Engineering 114
- Computer Vision and Pattern Recognition 26
Countries citing papers authored by Vanesa Daza
This map shows the geographic impact of Vanesa Daza'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 Vanesa Daza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanesa Daza more than expected).
Fields of papers citing papers by Vanesa Daza
This network shows the impact of papers produced by Vanesa Daza. 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 Vanesa Daza. The network helps show where Vanesa Daza may publish in the future.
Co-authorship network of co-authors of Vanesa Daza
This figure shows the co-authorship network connecting the top 25 collaborators of Vanesa Daza. A scholar is included among the top collaborators of Vanesa Daza 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 Vanesa Daza. Vanesa Daza 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 | 32 | |
| 4 | 8 | |
| 5 | 10 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | Queueing Analysis in Multiuser Multi-Packet Transmission Systems Using Spatial Multiplexing | 0 |
| 14 | A Security Framework for Routing over Low Power and Lossy Networks | 12 |
| 15 | 8 | |
| 16 | 5 | |
| 17 | 36 | |
| 18 | 32 | |
| 19 | 1 | |
| 20 | 4 |
About Vanesa Daza
Vanesa Daza is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 37 papers that have together received 385 indexed citations. Recurring topics across this work include Cryptography and Data Security (13 papers), Blockchain Technology Applications and Security (10 papers) and Cryptographic Implementations and Security (5 papers). The work is most often cited by research in Computer Networks and Communications (196 citations), Information Systems (153 citations) and Artificial Intelligence (173 citations). Vanesa Daza has collaborated with scholars based in Spain, Italy and France. Frequent co-authors include Josep Domingo‐Ferrer, Francesc Sebé, Alexandre Viejo, Matteo Signorini, Javier Herranz, Roberto Di Pietro, Paz Morillo, Carla Ràfols, Agustí Solanas and Antoni Martínez-Ballesté. Their work appears in journals such as IEEE Transactions on Information Theory, 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.