Mariana Raykova
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Computer Networks and Communications top 2%
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Mahnush MovahediMahdi ZamaniCraig GentryBryan ParnoJon HowellShai HaleviAmit SahaiSanjam Garg
- Topics
- Cryptography and Data Security (28 papers)Privacy-Preserving Technologies in Data (17 papers)Complexity and Algorithms in Graphs (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications of the ACMSIAM Journal on Computing
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Mariana Raykova
34 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 1.4k
- Information Systems 1.1k
- Computer Networks and Communications 649
- Computational Theory and Mathematics 312
- Computer Vision and Pattern Recognition 144
Countries citing papers authored by Mariana Raykova
This map shows the geographic impact of Mariana Raykova'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 Mariana Raykova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariana Raykova more than expected).
Fields of papers citing papers by Mariana Raykova
This network shows the impact of papers produced by Mariana Raykova. 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 Mariana Raykova. The network helps show where Mariana Raykova may publish in the future.
Co-authorship network of co-authors of Mariana Raykova
This figure shows the co-authorship network connecting the top 25 collaborators of Mariana Raykova. A scholar is included among the top collaborators of Mariana Raykova 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 Mariana Raykova. Mariana Raykova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 50 | |
| 6 | 21 | |
| 7 | 26 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 105 | |
| 11 | 40 | |
| 12 | 6 | |
| 13 | 12 | |
| 14 | 1 | |
| 15 | 43 | |
| 16 | 262 | |
| 17 | Pinocchio: Nearly Practical Verifiable Computationbreakdown → | 418 |
| 18 | 26 | |
| 19 | 11 | |
| 20 | 0 |
About Mariana Raykova
Mariana Raykova is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Science Applications, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cryptography and Data Security (28 papers), Privacy-Preserving Technologies in Data (17 papers) and Complexity and Algorithms in Graphs (9 papers). The work is most often cited by research in Information Systems (1.1k citations), Artificial Intelligence (1.4k citations) and Computer Networks and Communications (649 citations). Mariana Raykova has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mahnush Movahedi, Mahdi Zamani, Craig Gentry, Bryan Parno, Jon Howell, Shai Halevi, Amit Sahai, Sanjam Garg, Brent Waters and Tal Malkin. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and SIAM Journal on Computing.
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.