Alberto Blanco-Justicia
- Artificial Intelligence top 10%
- Sociology and Political Science
- Information Systems
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Josep Domingo‐FerrerDavid SánchezKrishnamurty MuralidharSergio Mart́ınezDavid Rebollo‐MonederoGuillem CollellCristina Pérez‐SolàThierry Chevallier
- Topics
- Privacy-Preserving Technologies in Data (12 papers)Adversarial Robustness in Machine Learning (8 papers)Cryptography and Data Security (6 papers)
- Partner nations
- SpainUnited StatesSwitzerland
In The Last Decade
Alberto Blanco-Justicia
17 papers receiving 214 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 153
- Sociology and Political Science 44
- Information Systems 34
- Computer Vision and Pattern Recognition 20
- Computer Networks and Communications 19
Countries citing papers authored by Alberto Blanco-Justicia
This map shows the geographic impact of Alberto Blanco-Justicia'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 Alberto Blanco-Justicia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Blanco-Justicia more than expected).
Fields of papers citing papers by Alberto Blanco-Justicia
This network shows the impact of papers produced by Alberto Blanco-Justicia. 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 Alberto Blanco-Justicia. The network helps show where Alberto Blanco-Justicia may publish in the future.
Co-authorship network of co-authors of Alberto Blanco-Justicia
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Blanco-Justicia. A scholar is included among the top collaborators of Alberto Blanco-Justicia 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 Alberto Blanco-Justicia. Alberto Blanco-Justicia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 13 | |
| 4 | 25 | |
| 5 | 1 | |
| 6 | 37 | |
| 7 | 12 | |
| 8 | 29 | |
| 9 | 16 | |
| 10 | 10 | |
| 11 | 42 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 9 |
About Alberto Blanco-Justicia
Alberto Blanco-Justicia is a scholar working on Health Informatics, Artificial Intelligence and Geography, Planning and Development, having authored 18 papers that have together received 220 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (12 papers), Adversarial Robustness in Machine Learning (8 papers) and Cryptography and Data Security (6 papers). The work is most often cited by research in Health Informatics (9 citations), Artificial Intelligence (153 citations) and Computer Science Applications (17 citations). Alberto Blanco-Justicia has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include Josep Domingo‐Ferrer, David Sánchez, Krishnamurty Muralidhar, Sergio Mart́ınez, David Sánchez, David Rebollo‐Monedero, Guillem Collell, Cristina Pérez‐Solà, Thierry Chevallier and Javier Parra‐Arnau. Their work appears in journals such as ACM Computing Surveys, Computer and IEEE Transactions on Neural Networks and Learning 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.