Ben Riva
Impact in
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
- Security and Verification in Computing
- Cryptographic Implementations and Security
- Information Systems top 10%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
Papers in
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- Cryptography and Data Security 9
- Internet Traffic Analysis and Secure E-voting 2
- Security and Verification in Computing 2
- Stochastic Gradient Optimization Techniques 1
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- Complexity and Algorithms in Graphs 4
- Co-authors
- Guy N. RothblumRan CanettiPayman MohasselSeny KamaraYehuda LindellAmnon Ta‐ShmaDouglas WikströmAlon Rosen
- Journals
- Information and Computation (1 paper)SHILAP Revista de lepidopterología (1 paper)Lirias (KU Leuven) (1 paper)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Ben Riva
8 papers receiving 216 citations
Peers
Comparison fields: 5 of 24
- Artificial Intelligence 203
- Information Systems 99
- Computational Theory and Mathematics 56
- Computer Networks and Communications 41
- Signal Processing 11
Countries citing papers authored by Ben Riva
This map shows the geographic impact of Ben Riva'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 Ben Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Riva more than expected).
Fields of papers citing papers by Ben Riva
This network shows the impact of papers produced by Ben Riva. 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 Ben Riva. The network helps show where Ben Riva may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Ben Riva, 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 | 2024 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2015 | 19 | |
| 4 | 2015 | 30 | |
| 5 | 2013 | 12 | |
| 6 | A New Implementation of a Dual (Paper and Cryptographic) Voting System. | 2012 | 17 |
| 7 | 2012 | 60 | |
| 8 | 2011 | 73 | |
| 9 | Bare-handed electronic voting with pre-processing | 2007 | 8 |
About Ben Riva
Ben Riva is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 9 papers that have together received 223 indexed citations. Recurring topics across this work include Cryptography and Data Security (9 papers), Complexity and Algorithms in Graphs (4 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Blockchain Technology Applications and Security (2 papers), User Authentication and Security Systems (2 papers), Security and Verification in Computing (2 papers), Distributed systems and fault tolerance (1 paper) and Stochastic Gradient Optimization Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (203 citations), Information Systems (99 citations), Computational Theory and Mathematics (56 citations), Computer Networks and Communications (41 citations) and Signal Processing (11 citations). Ben Riva has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Guy N. Rothblum, Ran Canetti, Payman Mohassel, Seny Kamara, Yehuda Lindell, Amnon Ta‐Shma, Douglas Wikström, Alon Rosen, Deepak Maram and Alberto Sonnino. Their work appears in journals such as Information and Computation, SHILAP Revista de lepidopterología and Lirias (KU Leuven).
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.