Ryo Kikuchi

414 total citations
10 papers, 38 citations indexed

About

Ryo Kikuchi is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Ryo Kikuchi has authored 10 papers receiving a total of 38 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Computational Theory and Mathematics. Recurrent topics in Ryo Kikuchi's work include Cryptography and Data Security (9 papers), Privacy-Preserving Technologies in Data (5 papers) and Complexity and Algorithms in Graphs (3 papers). Ryo Kikuchi is often cited by papers focused on Cryptography and Data Security (9 papers), Privacy-Preserving Technologies in Data (5 papers) and Complexity and Algorithms in Graphs (3 papers). Ryo Kikuchi collaborates with scholars based in Japan, Israel and United States. Ryo Kikuchi's co-authors include Dai Ikarashi, Koki Hamada, Koji Chida, Keita Xagawa, Benny Pinkas, Ariel Nof, Gilad Asharov, Takahiro Matsuda, Katsumi Takahashi and Daniel Genkin and has published in prestigious journals such as Journal of Cryptology, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences and Studies in health technology and informatics.

In The Last Decade

Ryo Kikuchi

9 papers receiving 38 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryo Kikuchi Japan	5	31	7	5	5	4	10	38
Pierre‐Luc Bacon Canada	5	31 1.0×	10 1.4×	3 0.6×	7 1.4×	2 0.5×	11	45
Caterina Urban France	3	29 0.9×	7 1.0×	5 1.0×	3 0.6×	4 1.0×	6	36
W. A. T. Wan Abdullah Malaysia	2	22 0.7×	4 0.6×	2 0.4×	5 1.0×	3 0.8×	3	35
Eliav Buchnik United States	3	19 0.6×	4 0.6×	4 0.8×	3 0.6×	3 0.8×	8	27
Silas Richelson United States	3	27 0.9×	4 0.6×	10 2.0×	3 0.6×	4 1.0×	8	29
Elena Kirshanova Russia	4	33 1.1×	6 0.9×	8 1.6×	3 0.6×	3 0.8×	7	34
Simon Bartels Denmark	2	24 0.8×	7 1.0×	2 0.4×	6 1.2×	2 0.5×	4	48
Marshall Ball United States	3	40 1.3×	7 1.0×	4 0.8×	16 3.2×	3 0.8×	9	43
Yan-Cheng Chang Taiwan	3	24 0.8×	5 0.7×	6 1.2×	4 0.8×	11 2.8×	5	31
Dragos Rotaru United Kingdom	4	29 0.9×	4 0.6×	8 1.6×	11 2.2×	2 0.5×	4	37

Countries citing papers authored by Ryo Kikuchi

Since Specialization

Citations

This map shows the geographic impact of Ryo Kikuchi'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 Ryo Kikuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryo Kikuchi more than expected).

Fields of papers citing papers by Ryo Kikuchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryo Kikuchi. 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 Ryo Kikuchi. The network helps show where Ryo Kikuchi may publish in the future.

Co-authorship network of co-authors of Ryo Kikuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Kikuchi. A scholar is included among the top collaborators of Ryo Kikuchi 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 Ryo Kikuchi. Ryo Kikuchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Chida, Koji, Koki Hamada, Dai Ikarashi, et al.. (2023). Fast Large-Scale Honest-Majority MPC for Malicious Adversaries. Journal of Cryptology. 36(3). 4 indexed citations

Asharov, Gilad, Koki Hamada, Dai Ikarashi, et al.. (2022). Efficient Secure Three-Party Sorting with Applications to Data Analysis and Heavy Hitters. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 125–138. 10 indexed citations

Attrapadung, Nuttapong, Koki Hamada, Dai Ikarashi, et al.. (2022). Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation. Proceedings on Privacy Enhancing Technologies. 2022(4). 746–767. 10 indexed citations

Miyazawa, Toshiyuki, et al.. (2020). The Future of Data Distribution and Its Security Technology. NTT technical review. 18(4). 11–15.

Chida, Koji, Koki Hamada, Dai Ikarashi, Ryo Kikuchi, & Benny Pinkas. (2018). High-Throughput Secure AES Computation. 13–24. 4 indexed citations

Kikuchi, Ryo & Dai Ikarashi. (2018). Progress of Secure Computation: Basic Constructions and Dedicated Algorithms. IEICE ESS FUNDAMENTALS REVIEW. 12(1). 12–20. 2 indexed citations

Kikuchi, Ryo, et al.. (2017). Cryptanalysis of Comparable Encryption in SIGMOD'16. 2013. 1069–1084. 5 indexed citations

Kimura, Eizen, Koki Hamada, Ryo Kikuchi, et al.. (2016). Evaluation of Secure Computation in a Distributed Healthcare Setting. Studies in health technology and informatics. 228. 152–6. 1 indexed citations

Kikuchi, Ryo, Koji Chida, Dai Ikarashi, et al.. (2015). Secret Sharing with Share-Conversion: Achieving Small Share-Size and Extendibility to Multiparty Computation. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E98.A(1). 213–222. 1 indexed citations

10.

Kikuchi, Ryo, Dai Ikarashi, Koki Hamada, & Koji Chida. (2015). Adaptively and Unconditionally Secure Conversion Protocols between Ramp and Linear Secret Sharing. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E98.A(1). 223–231. 1 indexed citations

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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