Germán Sáez
Impact in
- Artificial Intelligence top 10%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
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- Security in Wireless Sensor Networks
- Advanced Authentication Protocols Security
Papers in
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- Cryptography and Data Security 12
- Privacy-Preserving Technologies in Data 3
- Cryptographic Implementations and Security 2
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- Chaos-based Image/Signal Encryption 7
- Co-authors
- Carles Padró (3 shared papers)Javier Herranz (8 shared papers)Sergio Cabello (1 shared paper)Vanesa Daza (3 shared papers)Jorge L. Villar (1 shared paper)Giovanni Di Crescenzo (1 shared paper)
- Journals
- Designs Codes and Cryptography (5 papers)IEEE Transactions on Computers (1 paper)International Journal of Information Security (1 paper)Electronic Commerce Research (1 paper)Discrete Applied Mathematics (1 paper)
- Partner nations
- SpainNetherlands
In The Last Decade
Germán Sáez
13 papers receiving 130 citations
Peers
Comparison fields: 5 of 15
- Artificial Intelligence 121
- Computer Networks and Communications 58
- Computational Theory and Mathematics 36
- Computer Vision and Pattern Recognition 41
- Information Systems 42
Countries citing papers authored by Germán Sáez
This map shows the geographic impact of Germán Sáez'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 Germán Sáez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germán Sáez more than expected).
Fields of papers citing papers by Germán Sáez
This network shows the impact of papers produced by Germán Sáez. 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 Germán Sáez. The network helps show where Germán Sáez may publish in the future.
Co-authors
The 6 scholars most cited alongside Germán Sáez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 35 | |
| 2 | 2003 | 28 | |
| 3 | 2013 | 19 | |
| 4 | 2002 | 13 | |
| 5 | 1999 | 9 | |
| 6 | 2012 | 7 | |
| 7 | 2013 | 7 | |
| 8 | 2006 | 6 | |
| 9 | 2008 | 5 | |
| 10 | 2009 | 4 | |
| 11 | 2004 | 2 | |
| 12 | 2010 | 1 | |
| 13 | 2001 | 1 |
About Germán Sáez
Germán Sáez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Computer Networks and Communications and Information Systems, having authored 13 papers that have together received 137 indexed citations. Recurring topics across this work include Cryptography and Data Security (12 papers), Chaos-based Image/Signal Encryption (7 papers), Complexity and Algorithms in Graphs (6 papers), Security in Wireless Sensor Networks (5 papers), Privacy-Preserving Technologies in Data (3 papers), Cryptographic Implementations and Security (2 papers), Wireless Communication Security Techniques (1 paper) and Cryptography and Residue Arithmetic (1 paper). The work is most often cited by research in Artificial Intelligence (121 citations), Computer Networks and Communications (58 citations), Computational Theory and Mathematics (36 citations), Computer Vision and Pattern Recognition (41 citations) and Information Systems (42 citations). Germán Sáez has collaborated with scholars based in Spain and Netherlands. Frequent co-authors include Carles Padró, Javier Herranz, Sergio Cabello, Vanesa Daza, Jorge L. Villar and Giovanni Di Crescenzo. Their work appears in journals such as Designs Codes and Cryptography, IEEE Transactions on Computers, International Journal of Information Security, Electronic Commerce Research and Discrete Applied Mathematics.
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.