Kazue Sako

99 total papers · 3.7k total citations
37 papers, 466 citations indexed

About

Kazue Sako is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Kazue Sako has authored 37 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Kazue Sako's 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). Kazue Sako is often cited by papers focused on Cryptography and Data Security (10 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Privacy-Preserving Technologies in Data (5 papers). Kazue Sako collaborates with scholars based in Japan, United States and United Kingdom. Kazue Sako's co-authors include Joe Kilian, Palash Sarkar, Yoshihiro Furukawa, Xiaoyun Wang, Sarah Meiklejohn, Jun Furukawa, George Danezis, Sven Dietrich, Isamu Teranishi and Toshiyuki Isshiki and has published in prestigious journals such as Lecture notes in computer science, Wireless Communications and Mobile Computing and IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.

In The Last Decade

Kazue Sako

35 papers receiving 398 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kazue Sako	394	142	102	70	49	37	466
Eric Jui‐Lin Lu	289 0.7×	264 1.9×	125 1.2×	51 0.7×	36 0.7×	49	455
Xuyun Nie	350 0.9×	251 1.8×	133 1.3×	38 0.5×	43 0.9×	26	456
Peeter Laud	367 0.9×	138 1.0×	155 1.5×	30 0.4×	40 0.8×	48	415
Cheng‐Kang Chu	380 1.0×	269 1.9×	159 1.6×	38 0.5×	26 0.5×	22	508
Jeremy Jacob	321 0.8×	218 1.5×	170 1.7×	45 0.6×	123 2.5×	25	484
Huayi Duan	389 1.0×	233 1.6×	117 1.1×	43 0.6×	55 1.1×	24	527
J. R. Rao	193 0.5×	119 0.8×	273 2.7×	46 0.7×	52 1.1×	19	412
Saïd El Hajji	209 0.5×	182 1.3×	137 1.3×	103 1.5×	20 0.4×	55	406
Songlei Jian	361 0.9×	164 1.2×	130 1.3×	107 1.5×	44 0.9×	34	476
Marc Fischlin	374 0.9×	231 1.6×	235 2.3×	60 0.9×	16 0.3×	48	501

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

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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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