Rafael Torres Moreno
- Information Systems top 2%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Co-authors
- Antonio SkármetaJorge Bernal BernabéJosé L. Hernández-RamosMartin DavidEvangelos SakkopoulosTore Kasper FrederiksenEda MarchettiSaid Daoudagh
- Topics
- Cryptography and Data Security (6 papers)Access Control and Trust (4 papers)Privacy-Preserving Technologies in Data (4 papers)
- Partner nations
- SpainItalySwitzerland
In The Last Decade
Rafael Torres Moreno
9 papers receiving 320 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Information Systems 276
- Artificial Intelligence 152
- Computer Networks and Communications 88
- Sociology and Political Science 60
- Computer Vision and Pattern Recognition 25
Countries citing papers authored by Rafael Torres Moreno
This map shows the geographic impact of Rafael Torres Moreno'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 Rafael Torres Moreno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Torres Moreno more than expected).
Fields of papers citing papers by Rafael Torres Moreno
This network shows the impact of papers produced by Rafael Torres Moreno. 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 Rafael Torres Moreno. The network helps show where Rafael Torres Moreno may publish in the future.
Co-authorship network of co-authors of Rafael Torres Moreno
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Torres Moreno. A scholar is included among the top collaborators of Rafael Torres Moreno 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 Rafael Torres Moreno. Rafael Torres Moreno 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 | 5 | |
| 3 | 16 | |
| 4 | 10 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | Privacy-Preserving Solutions for Blockchain: Review and Challengesbreakdown → | 255 |
| 8 | 7 | |
| 9 | 19 |
About Rafael Torres Moreno
Rafael Torres Moreno is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 9 papers that have together received 335 indexed citations. Recurring topics across this work include Cryptography and Data Security (6 papers), Access Control and Trust (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Information Systems (276 citations), Artificial Intelligence (152 citations) and Computer Networks and Communications (88 citations). Rafael Torres Moreno has collaborated with scholars based in Spain, Italy and Switzerland. Frequent co-authors include Antonio Skármeta, Jorge Bernal Bernabé, José L. Hernández-Ramos, Martin David, Evangelos Sakkopoulos, Tore Kasper Frederiksen, Eda Marchetti, Said Daoudagh, Anja Lehmann and Juan A. Martínez. Their work appears in journals such as IEEE Access, Sensors 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.