Jun Kogure

421 citations
22 papers · 337 · h-index 9

Impact in

Papers in

Jun Kogure

20 papers receiving 323 citations

Peers

Jun Kogure
Comparison fields: 5 of 20
  • Artificial Intelligence 273
  • Computational Theory and Mathematics 106
  • Signal Processing 64
  • Information Systems 129
  • Computer Vision and Pattern Recognition 75
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Wilko Henecka Australia
Daniel Apon United States
Amitabh Saxena Australia
Abishek Kumarasubramanian United States
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Igors Stepanovs United States
Alex J. Malozemoff United States
Dhinakaran Vinayagamurthy India
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Citations per field
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Citations per year

Countries citing papers authored by Jun Kogure

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kogure

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Jun Kogure, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Kogure Line = papers co-authored together Jun Kogure links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201379
2 201359
3 201442
4 201533
5 201425
6 199820
7 201520
8 201614
9 20129
10 20079
11 20077
12 20175
13 20134
14
CAIRN3: An FPGA Implementation of the Sieving Step with the Lattice Sieving
20073
15 20122
16
On random walks of Pollard's rho method for the ECDLP on Koblitz curves
20112
17 20081
18 20141
19 20141
20 20121

About Jun Kogure

Jun Kogure is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Vision and Pattern Recognition and Numerical Analysis, having authored 22 papers that have together received 337 indexed citations. Recurring topics across this work include Cryptography and Data Security (18 papers), Cryptography and Residue Arithmetic (10 papers), Coding theory and cryptography (8 papers), Cryptographic Implementations and Security (8 papers), Complexity and Algorithms in Graphs (7 papers), graph theory and CDMA systems (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Chaos-based Image/Signal Encryption (2 papers). The work is most often cited by research in Artificial Intelligence (273 citations), Computational Theory and Mathematics (106 citations), Signal Processing (64 citations), Information Systems (129 citations) and Computer Vision and Pattern Recognition (75 citations). Jun Kogure has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Takeshi Shimoyama, Masaya Yasuda, Kazuhiro Yokoyama, Takeshi Koshiba, Tetsuya Izu, Masayuki Noro, Noboru Kunihiro and H. Yamamoto. Their work appears in journals such as Journal of Mathematical Cryptology, Lecture notes in computer science, Designs Codes and Cryptography, Applicable Algebra in Engineering Communication and 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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