Mariana Raykova

12.5k total citations · 2 hit papers
38 papers, 2.0k citations indexed

About

Mariana Raykova is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Mariana Raykova has authored 38 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 5 papers in Information Systems. Recurrent topics in Mariana Raykova's work include Cryptography and Data Security (28 papers), Privacy-Preserving Technologies in Data (17 papers) and Complexity and Algorithms in Graphs (9 papers). Mariana Raykova is often cited by papers focused on Cryptography and Data Security (28 papers), Privacy-Preserving Technologies in Data (17 papers) and Complexity and Algorithms in Graphs (9 papers). Mariana Raykova collaborates with scholars based in United States, United Kingdom and Germany. Mariana Raykova's co-authors include Mahdi Zamani, Mahnush Movahedi, Craig Gentry, Bryan Parno, Jon Howell, Shai Halevi, Amit Sahai, Sanjam Garg, Brent Waters and Tal Malkin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and SIAM Journal on Computing.

In The Last Decade

Mariana Raykova

34 papers receiving 2.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

RapidChain

2018 592 citations Mariana Raykova et al. profile →
Pinocchio: Nearly Practical Verifiable Computation

2013 418 citations Bryan Parno, Jon Howell et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mariana Raykova United States	15	1.4k	1.1k	649	312	144	38	2.0k
Jianting Ning China	24	1.9k 1.3×	1.3k 1.1×	481 0.7×	211 0.7×	216 1.5×	137	2.3k
Jinguang Han China	22	2.0k 1.4×	1.7k 1.5×	570 0.9×	342 1.1×	182 1.3×	68	2.6k
Chunxiang Xu China	28	2.2k 1.6×	1.9k 1.7×	664 1.0×	181 0.6×	304 2.1×	154	2.8k
Emil Stefanov United States	18	1.9k 1.4×	955 0.8×	404 0.6×	355 1.1×	201 1.4×	26	2.2k
Xavier Boyen Australia	17	908 0.6×	533 0.5×	280 0.4×	271 0.9×	199 1.4×	40	1.3k
Florian Kerschbaum Canada	24	1.5k 1.1×	601 0.5×	346 0.5×	284 0.9×	265 1.8×	125	1.9k
Xingliang Yuan Australia	27	1.6k 1.1×	777 0.7×	415 0.6×	130 0.4×	310 2.2×	102	1.9k
Masahiro Mambo Japan	14	1.4k 1.0×	1.2k 1.0×	1.2k 1.8×	315 1.0×	246 1.7×	71	2.3k
Christian Cachin Switzerland	29	1.2k 0.8×	1.1k 0.9×	1.4k 2.1×	149 0.5×	350 2.4×	79	2.4k
Guomin Yang Australia	32	2.6k 1.8×	2.0k 1.8×	1.1k 1.6×	411 1.3×	326 2.3×	130	3.3k

Countries citing papers authored by Mariana Raykova

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Gascón, Adrià, et al.. (2025). Founding Zero-Knowledge Proof of Training on Optimum Vicinity. 1173–1187.

2.

Agarwal, Amit, et al.. (2024). Communication-Efficient Secure Logistic Regression. 440–467. 2 indexed citations

3.

Manurangsi, Pasin, et al.. (2024). Differentially Private Ad Conversion Measurement. Proceedings on Privacy Enhancing Technologies. 2024(2). 124–140.

4.

Katz, Jonathan, et al.. (2024). Actively Secure Private Set Intersection in the Client-Server Setting. 1478–1492. 3 indexed citations

5.

Ion, Mihaela, Ben Kreuter, Sarvar Patel, et al.. (2020). On Deploying Secure Computing: Private Intersection-Sum-with-Cardinality. 370–389. 50 indexed citations

6.

Schoppmann, Phillipp, et al.. (2019). Distributed Vector-OLE. 1055–1072. 21 indexed citations

7.

Patel, Sarvar, Giuseppe Persiano, Mariana Raykova, & Kevin Yeo. (2018). PanORAMa: Oblivious RAM with Logarithmic Overhead. 871–882. 26 indexed citations

8.

Gascón, Adrià, Phillipp Schoppmann, Borja Balle, et al.. (2017). Privacy-Preserving Distributed Linear Regression on High-Dimensional Data. SHILAP Revista de lepidopterología. 2017(4). 345–364. 105 indexed citations

9.

Raykova, Mariana, et al.. (2017). Language Technologies in Teaching Bulgarian at Primary and Secondary School Level: The NBU Platform for Language Teaching (PLT). 32–38.

10.

Malozemoff, Alex J., et al.. (2017). 5Gen-C. 747–764. 4 indexed citations

11.

Zahur, Samee, Xiao Wang, Mariana Raykova, et al.. (2016). Revisiting Square-Root ORAM: Efficient Random Access in Multi-party Computation. 218–234. 40 indexed citations

12.

Garg, Sanjam, Craig Gentry, Shai Halevi, et al.. (2016). Hiding secrets in software. Communications of the ACM. 59(5). 113–120. 6 indexed citations

13.

Raykova, Mariana, et al.. (2014). Approaches for competencies assessment in open source e-learning environments. 7. 529–532. 1 indexed citations

14.

Lorch, Jacob R., Bryan Parno, James Mickens, Mariana Raykova, & Joshua Schiffman. (2013). Shroud: ensuring private access to large-scale data in the data center. File and Storage Technologies. 199–214. 43 indexed citations

15.

Parno, Bryan, Jon Howell, Craig Gentry, & Mariana Raykova. (2013). Pinocchio: Nearly Practical Verifiable Computation. 238–252. 418 indexed citations breakdown →

16.

Garg, Sanjam, Craig Gentry, Shai Halevi, et al.. (2013). Candidate Indistinguishability Obfuscation and Functional Encryption for all Circuits. 40–49. 262 indexed citations

17.

Malkin, Tal, et al.. (2012). Efficient robust private set intersection. 2(4). 289–289. 26 indexed citations

18.

Pappas, Vasilis, Mariana Raykova, Binh Vo, Steven M. Bellovin, & Tal Malkin. (2011). Private search in the real world. 83–92. 11 indexed citations

19.

Cheng, Yuu-Heng, et al.. (2009). The Zodiac Policy Subsystem: A Policy-Based Management System for a High-Security MANET. Columbia Academic Commons (Columbia University). 174–177. 4 indexed citations

20.

Johnson, Maritza, et al.. (2008). RUST: A Retargetable Usability Testbed for Website Authentication Technologies. Columbia Academic Commons (Columbia University). 11.

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.

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