Juan A. Garay

82 papers receiving 3.4k citations

Hit Papers

Searchable symmetric encryption200620262012201920062011250500750

Peers

Juan A. Garay
Comparison fields: 5 of 75
  • Artificial Intelligence 2.6k
  • Computer Networks and Communications 1.7k
  • Information Systems 1.2k
  • Computational Theory and Mathematics 625
  • Computer Vision and Pattern Recognition 502
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Countries citing papers authored by Juan A. Garay

Since Specialization
Citations

This map shows the geographic impact of Juan A. Garay'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 Juan A. Garay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan A. Garay more than expected).

Fields of papers citing papers by Juan A. Garay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan A. Garay. 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 Juan A. Garay. The network helps show where Juan A. Garay may publish in the future.

Co-authorship network of co-authors of Juan A. Garay

This figure shows the co-authorship network connecting the top 25 collaborators of Juan A. Garay. A scholar is included among the top collaborators of Juan A. Garay 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 Juan A. Garay. Juan A. Garay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Security and cryptography for networks : 7th international conference : SCN 2010 : Amalfi, Italy, September 13 - 15, 2010 : proceedings
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Proceedings of the 8th International Conference on Cryptology and Network Security
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Searchable symmetric encryptionbreakdown →
965
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Timed Fair Exchange of Standard Signatures: [Extended Abstract].
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Abuse-free optimistic contract signing
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Design, Implementation and Deployment of a Secure Account-Based Electronic Payment System
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Design and implementation of modular key management protocol and IP secure tunnel on AIX
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A Sub-Linear Time Distributed Algorithm for Minimum-Weight Spanning Trees (Extended Abstract)
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Efficient Distributed Consensus with n = (3 + epsilon) t Processors (Extended Abstract)
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Fast consensus in networks of bounded degree (extended abstract)
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Towards Optimal Distributed Consensus (Extended Abstract)
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About Juan A. Garay

Juan A. Garay is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics, having authored 87 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cryptography and Data Security (39 papers), Distributed systems and fault tolerance (21 papers) and Complexity and Algorithms in Graphs (17 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Computer Networks and Communications (1.7k citations) and Information Systems (1.2k citations). Juan A. Garay has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Rafail Ostrovsky, Reza Curtmola, Seny Kamara, Ran Canetti, Amir Herzberg, Hugo Krawczyk, Gene Itkis, Daniele Micciancio, Benny Pinkas and Rosario Gennaro. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and Journal of the ACM.

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.

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