Kazue Sako

35 papers receiving 392 citations

Peers

Kazue Sako
Comparison fields: 5 of 51
  • Artificial Intelligence 389
  • Information Systems 141
  • Computer Networks and Communications 98
  • Computer Vision and Pattern Recognition 68
  • Sociology and Political Science 49
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Countries citing papers authored by Kazue Sako

Since Specialization
Citations

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

Fields of papers citing papers by Kazue Sako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazue Sako

This figure shows the co-authorship network connecting the top 25 collaborators of Kazue Sako. A scholar is included among the top collaborators of Kazue Sako 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 Kazue Sako. Kazue Sako 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
#WorkIndexed citations
1 1
2 10
3 4
4 5
5
Proceedings of the RSA Conference on Topics in Cryptology - CT-RSA 2016 - Volume 9610
1
6 16
7 8
8
Proceedings of the 18th international conference on The Theory and Application of Cryptology and Information Security
9
9 2
10
Proceedings of the 15th international conference on Financial Cryptography and Data Security
27
11 6
12
Proceedings of the 14th international conference on Financial cryptograpy and data security
1
13 1
14 11
15 16
16
An efficient scheme for proving a shuffle
29
17
An Ecient Scheme for Proving a Shue
23
18
Generating Statistical Information in Anonymous Surveys (Special Section on Discrete Mathematics and Its Applications)
1
19
Receipt-free mix-type voting scheme - A practical solution to the implementation of a voting booth-
130
20
Electronic Voting Scheme Allowing Open Objection to the Tally
30

About Kazue Sako

Kazue Sako is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 36 papers that have together received 459 indexed citations. Recurring topics across this work include Cryptography and Data Security (10 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Privacy-Preserving Technologies in Data (5 papers). The work is most often cited by research in Artificial Intelligence (389 citations), Information Systems (141 citations) and Computer Networks and Communications (98 citations). Kazue Sako has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Joe Kilian, Palash Sarkar, Yoshihiro Furukawa, Sarah Meiklejohn, Jun Furukawa, George Danezis, Sven Dietrich, Xiaoyun Wang, Isamu Teranishi and Toshiyuki Isshiki. Their work appears in journals such as Lecture notes in computer science, Wireless Communications and Mobile Computing and IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.

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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