Jun Kogure

410 citations
10 papers · 113 · h-index 4

Impact in

Papers in

Jun Kogure

10 papers receiving 112 citations

Peers

Jun Kogure
Comparison fields: 5 of 18
  • Artificial Intelligence 91
  • Computational Theory and Mathematics 38
  • Signal Processing 17
  • Information Systems 34
  • Computer Vision and Pattern Recognition 22
Replace Khoa Nguyen with:
Khoa Nguyen Singapore
Mohammad Mahmoody United States
Guilhem Castagnos France
Arpita Patra India
Takashi Nishide Japan
Donald Donglong Chen Hong Kong
Mads J. Jurik Denmark
Ondřej Kuželka Czechia
Yevgeniy Vahlis United States
Katsuyuki Takashima Japan
Jun Kogure relative to Khoa Nguyen Singapore Khoa Nguyen's profile →
Citations per field
00.5×11×
Khoa Nguyen · 1×
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 7 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

10 of 10 papers shown
#Work
1 201361
2 201526
3 201611
4 20077
5 20173
6
CAIRN3: An FPGA Implementation of the Sieving Step with the Lattice Sieving
20071
7 20141
8
On random walks of Pollard's rho method for the ECDLP on Koblitz curves
20111
9 20121
10 20141

About Jun Kogure

Jun Kogure is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Numerical Analysis and Electrical and Electronic Engineering, having authored 10 papers that have together received 113 indexed citations. Recurring topics across this work include Cryptography and Data Security (9 papers), Cryptographic Implementations and Security (6 papers), Complexity and Algorithms in Graphs (5 papers), Coding theory and cryptography (4 papers), Cryptography and Residue Arithmetic (3 papers), Privacy-Preserving Technologies in Data (1 paper), graph theory and CDMA systems (1 paper) and Mathematical Approximation and Integration (1 paper). The work is most often cited by research in Artificial Intelligence (91 citations), Computational Theory and Mathematics (38 citations), Signal Processing (17 citations), Information Systems (34 citations) and Computer Vision and Pattern Recognition (22 citations). Jun Kogure has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Takeshi Shimoyama, Masaya Yasuda, Takeshi Koshiba, Kazuhiro Yokoyama, Tetsuya Izu, Noboru Kunihiro and H. Yamamoto. Their work appears in journals such as Journal of Mathematical Cryptology, Designs Codes and Cryptography, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, Security and Communication Networks and Applicable Algebra in Engineering Communication and Computing.

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.

Explore authors with similar magnitude of impact