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
-
- Cryptography and Data Security 5
- Coding theory and cryptography 3
- Privacy-Preserving Technologies in Data 1
- Cryptographic Implementations and Security 1
- Co-authors
- M. Albrecht (1 shared paper)Seán Murphy (1 shared paper)Jean-Philippe Bossuat (1 shared paper)Rosario Cammarota (1 shared paper)Carsten Maple (1 shared paper)Yuriy Polyakov (1 shared paper)Yongsoo Song (1 shared paper)Ilaria Chillotti (1 shared paper)
- Journals
- Journal of Mathematical Cryptology (1 paper)The Journal of the Acoustical Society of America (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Rachel Player
6 papers receiving 321 citations
Rachel Player's Hit Papers
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 294
- Computational Theory and Mathematics 81
- Information Systems 74
- Hardware and Architecture 18
- Computer Vision and Pattern Recognition 50
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 | 312 |
| 2 | 2025 | 14 | |
| 3 | 2024 | 4 | |
| 4 | 2020 | 3 | |
| 5 | 1994 | 1 | |
| 6 | 2025 | 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 335 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), Cloud Data Security Solutions (1 paper), Underwater Acoustics Research (1 paper), Cryptographic Implementations and Security (1 paper), Fusion materials and technologies (1 paper) and Marine and fisheries research (1 paper). The work is most often cited by research in Artificial Intelligence (294 citations), Computational Theory and Mathematics (81 citations), Information Systems (74 citations), Hardware and Architecture (18 citations) and Computer Vision and Pattern Recognition (50 citations). Rachel Player has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include M. Albrecht, Seán Murphy, Jean-Philippe Bossuat, Rosario Cammarota, Carsten Maple, Yuriy Polyakov, Yongsoo Song, Ilaria Chillotti, Wei Dai and Duhyeong Kim. Their work appears in journals such as Journal of Mathematical Cryptology, The Journal of the Acoustical Society of America and DOAJ (DOAJ: Directory of Open Access Journals).
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.