Koki Hamada

674 total citations
25 papers, 179 citations indexed

About

Koki Hamada is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Sociology and Political Science. According to data from OpenAlex, Koki Hamada has authored 25 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 6 papers in Sociology and Political Science. Recurrent topics in Koki Hamada's work include Privacy-Preserving Technologies in Data (14 papers), Cryptography and Data Security (12 papers) and Complexity and Algorithms in Graphs (7 papers). Koki Hamada is often cited by papers focused on Privacy-Preserving Technologies in Data (14 papers), Cryptography and Data Security (12 papers) and Complexity and Algorithms in Graphs (7 papers). Koki Hamada collaborates with scholars based in Japan, Israel and United States. Koki Hamada's co-authors include Dai Ikarashi, Kazuo Iwama, Shuichi Miyazaki, Kimihiro Mizutani, Takashi Yura, Takeru Inoue, S Hiraga, Koreaki Ito, Osamu Akashi and Koji Chida and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Journal of the American Medical Informatics Association.

In The Last Decade

Koki Hamada

23 papers receiving 172 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koki Hamada Japan 9 68 50 37 29 24 25 179
Mike Stannett United Kingdom 8 53 0.8× 30 0.6× 57 1.5× 43 1.5× 5 0.2× 33 189
Haodi Feng China 8 89 1.3× 51 1.0× 37 1.0× 27 0.9× 12 0.5× 20 200
Shigeru Masuyama Japan 6 84 1.2× 45 0.9× 65 1.8× 4 0.1× 10 0.4× 82 193
Sepp Hartung Germany 8 33 0.5× 19 0.4× 73 2.0× 17 0.6× 14 0.6× 16 121
Yisong Yue United States 3 113 1.7× 20 0.4× 39 1.1× 23 0.8× 81 3.4× 4 230
George Katsirelos France 10 121 1.8× 91 1.8× 91 2.5× 20 0.7× 34 1.4× 18 249
Sivakanth Gopi United States 9 138 2.0× 102 2.0× 47 1.3× 4 0.1× 5 0.2× 26 189
Kshipra Bhawalkar United States 5 30 0.4× 51 1.0× 17 0.5× 30 1.0× 72 3.0× 6 165
Pierre Charbit France 6 23 0.3× 30 0.6× 136 3.7× 17 0.6× 12 0.5× 28 177
Joel Oren Canada 7 46 0.7× 23 0.5× 20 0.5× 56 1.9× 51 2.1× 17 139

Countries citing papers authored by Koki Hamada

Since Specialization
Citations

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

Fields of papers citing papers by Koki Hamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koki Hamada

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

All Works

20 of 20 papers shown
1.
Murakami, Takao, Hiromi Arai, Koki Hamada, et al.. (2023). Designing a Location Trace Anonymization Contest. Proceedings on Privacy Enhancing Technologies. 2023(1). 225–243. 2 indexed citations
2.
Chida, Koji, et al.. (2023). Communication-Efficient Inner Product Private Join and Compute with Cardinality. 678–688. 2 indexed citations
3.
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
4.
Hamada, Koki, Dai Ikarashi, Ryo Kikuchi, & Koji Chida. (2023). Efficient decision tree training with new data structure for secure multi-party computation. Proceedings on Privacy Enhancing Technologies. 2023(1). 343–364. 4 indexed citations
5.
Hamada, Koki, et al.. (2023). Optimal scheduling in probabilistic imaginary-time evolution on a quantum computer. Physical Review Research. 5(4). 9 indexed citations
6.
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
7.
Murakami, Takao, et al.. (2021). Privacy-Preserving Multiple Tensor Factorization for Synthesizing Large-Scale Location Traces with Cluster-Specific Features. SHILAP Revista de lepidopterología. 2021(2). 5–26. 1 indexed citations
8.
Hamada, Koki, Shuichi Miyazaki, & Kazuya Okamoto. (2021). Strongly Stable and Maximum Weakly Stable Noncrossing Matchings. Algorithmica. 83(9). 2678–2696.
9.
Kikuchi, Hiroaki, et al.. (2018). How to Handle Excessively Anonymized Datasets. Journal of Information Processing. 26(0). 477–485. 3 indexed citations
10.
Chida, Koji, Koki Hamada, Dai Ikarashi, Ryo Kikuchi, & Benny Pinkas. (2018). High-Throughput Secure AES Computation. 13–24. 4 indexed citations
11.
Kikuchi, Hiroaki, et al.. (2017). Study on Record Linkage of Anonymizied Data. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E101.A(1). 19–28.
12.
Inoue, Takeru, et al.. (2016). Efficient Virtual Network Optimization Across Multiple Domains Without Revealing Private Information. IEEE Transactions on Network and Service Management. 13(3). 477–488. 30 indexed citations
13.
Kikuchi, Hiroaki, et al.. (2016). Ice and Fire: Quantifying the Risk of Re-identification and Utility in Data Anonymization. 1035–1042. 7 indexed citations
14.
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
15.
Chida, Koji, et al.. (2014). Implementation and evaluation of an efficient secure computation system using 'R' for healthcare statistics. Journal of the American Medical Informatics Association. 21(e2). e326–e331. 15 indexed citations
16.
17.
Hamada, Koki. (2013). A Picturesque Maze Generation Algorithm with Any Given Endpoints. Journal of Information Processing. 21(3). 393–397. 8 indexed citations
18.
Yamaguchi, Rie Shigetomi, Koki Hamada, Katsumi Takahashi, et al.. (2012). Applicability of existing anonymization methods to large location history data in urban travel. 997–1004. 2 indexed citations
19.
Hamada, Koki, Kazuo Iwama, & Shuichi Miyazaki. (2009). An improved approximation lower bound for finding almost stable maximum matchings. Information Processing Letters. 109(18). 1036–1040. 10 indexed citations
20.
Hiraga, S, Koreaki Ito, Koki Hamada, & Takashi Yura. (1967). A new regulatory gene for the tryptophan operon of Escherichiacoli. Biochemical and Biophysical Research Communications. 26(5). 522–527. 24 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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