Jake Loftus
Impact in
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Cryptographic Implementations and Security
- Coding theory and cryptography
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- Complexity and Algorithms in Graphs
Papers in
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- Cryptography and Data Security 5
- Privacy-Preserving Technologies in Data 3
- Cryptographic Implementations and Security 2
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- Complexity and Algorithms in Graphs 4
- Co-authors
- Kristin Lauter (1 shared paper)Michael Naehrig (1 shared paper)Joppe W. Bos (1 shared paper)Nigel P. Smart (3 shared papers)Fréderik Vercauteren (2 shared papers)Alexander May (1 shared paper)Ashish Choudhury (1 shared paper)Arpita Patra (1 shared paper)
- Journals
- Lecture notes in computer science (4 papers)Bristol Research (University of Bristol) (1 paper)
- Partner nations
- United KingdomGermanyBelgium
In The Last Decade
Jake Loftus
5 papers receiving 361 citations
Jake Loftus's Hit Papers
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 354
- Computational Theory and Mathematics 120
- Information Systems 108
- Computer Vision and Pattern Recognition 51
- Health Informatics 1
Countries citing papers authored by Jake Loftus
This map shows the geographic impact of Jake Loftus'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 Jake Loftus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake Loftus more than expected).
Fields of papers citing papers by Jake Loftus
This network shows the impact of papers produced by Jake Loftus. 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 Jake Loftus. The network helps show where Jake Loftus may publish in the future.
Co-authors
The 9 scholars most cited alongside Jake Loftus, 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 | Improved Security for a Ring-Based Fully Homomorphic Encryption Scheme Hit paper breakdown → | 2013 | 286 |
| 2 | 2012 | 46 | |
| 3 | 2011 | 18 | |
| 4 | 2013 | 17 | |
| 5 | On CCA-Secure Somewhat Homomorphic Encryption | 2011 | 4 |
About Jake Loftus
Jake Loftus is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 371 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Complexity and Algorithms in Graphs (4 papers), Privacy-Preserving Technologies in Data (3 papers), Cryptographic Implementations and Security (2 papers) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Artificial Intelligence (354 citations), Computational Theory and Mathematics (120 citations), Information Systems (108 citations), Computer Vision and Pattern Recognition (51 citations) and Health Informatics (1 citation). Jake Loftus has collaborated with scholars based in United Kingdom, Germany and Belgium. Frequent co-authors include Kristin Lauter, Michael Naehrig, Joppe W. Bos, Nigel P. Smart, Fréderik Vercauteren, Alexander May, Ashish Choudhury, Arpita Patra and Emmanuela Orsini. Their work appears in journals such as Lecture notes in computer science and Bristol Research (University of Bristol).
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.