Rachel Player
Impact in
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Cryptographic Implementations and Security
- Privacy-Preserving Technologies in Data
- Coding theory and cryptography
- Internet Traffic Analysis and Secure E-voting
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- Complexity and Algorithms in Graphs
Papers in
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- Cryptography and Data Security 5
- Coding theory and cryptography 3
- Privacy-Preserving Technologies in Data 1
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- Fish Ecology and Management Studies 1
- Co-authors
- M. Albrecht (1 shared paper)Seán Murphy (2 shared papers)Carsten Maple (1 shared paper)Yuriy Polyakov (1 shared paper)Wei Dai (1 shared paper)Yongsoo Song (1 shared paper)Jean-Philippe Bossuat (1 shared paper)Ilaria Chillotti (1 shared paper)
- Journals
- The Journal of the Acoustical Society of America (1 paper)Journal of Mathematical Cryptology (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Korea
In The Last Decade
Rachel Player
6 papers receiving 301 citations
Hit Papers
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 280
- Computational Theory and Mathematics 83
- Information Systems 70
- Hardware and Architecture 18
- Computer Vision and Pattern Recognition 45
Countries citing papers authored by Rachel Player
This map shows the geographic impact of Rachel Player'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 Rachel Player with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Player more than expected).
Fields of papers citing papers by Rachel Player
This network shows the impact of papers produced by Rachel Player. 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 Rachel Player. The network helps show where Rachel Player may publish in the future.
Co-authors
The 12 scholars most cited alongside Rachel Player, 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 | On the concrete hardness of Learning with Errors Hit paper breakdown → | 2015 | 297 |
| 2 | 2025 | 11 | |
| 3 | 2020 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2025 | 1 | |
| 6 | 1994 | 1 |
About Rachel Player
Rachel Player is a scholar working on Artificial Intelligence, Nature and Landscape Conservation, Information Systems, Oceanography and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 314 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Coding theory and cryptography (3 papers), Privacy-Preserving Technologies in Data (1 paper), Fusion materials and technologies (1 paper), Fish Ecology and Management Studies (1 paper), Cloud Data Security Solutions (1 paper), Nuclear Materials and Properties (1 paper) and Underwater Acoustics Research (1 paper). The work is most often cited by research in Artificial Intelligence (280 citations), Computational Theory and Mathematics (83 citations), Information Systems (70 citations), Hardware and Architecture (18 citations) and Computer Vision and Pattern Recognition (45 citations). Rachel Player has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include M. Albrecht, Seán Murphy, Carsten Maple, Yuriy Polyakov, Wei Dai, Yongsoo Song, Jean-Philippe Bossuat, Ilaria Chillotti, Rosario Cammarota and Duhyeong Kim. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Mathematical Cryptology and SHILAP Revista de lepidopterología.
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.