Atsushi Shimbo

504 citations
9 papers · 65 indexed · h-index 4

Atsushi Shimbo

7 papers receiving 56 citations

Peers

Atsushi Shimbo
Comparison fields: 5 of 12
  • Information Systems 46
  • Artificial Intelligence 61
  • Computational Theory and Mathematics 11
  • Computer Networks and Communications 12
  • Computer Vision and Pattern Recognition 8
Replace Shi Bai with:
Shi Bai United States
Abishek Kumarasubramanian United States
Atsushi Takayasu Japan
Björn Tackmann Switzerland
Duong Hieu Phan France
Nathan Chenette United States
Georg Fuchsbauer Austria
Oliver Schirokauer United States
Joost Renes Netherlands
Isamu Teranishi Japan
Atsushi Shimbo relative to Shi Bai United States Shi Bai's profile →
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Citations per year

Countries citing papers authored by Atsushi Shimbo

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Shimbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 4 scholars most cited alongside Atsushi Shimbo, 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 Atsushi Shimbo Line = papers co-authored together Atsushi Shimbo links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20083
2 20072
3
Development of DPA evaluation platform for 8 bit processor
20041
4
RNS Montgomery multiplication algorithm for duplicate processing of base transformations
20033
5
File-based network collaboration system
19950
6 199330
7
A fast modular exponentiation algorithm
199114
8
Performance Analysis of Server-Aided Secret Computation Protocols for the RSA Cryptosystem
19907
9 19905

About Atsushi Shimbo

Atsushi Shimbo is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 9 papers that have together received 65 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Coding theory and cryptography (3 papers), Cryptography and Residue Arithmetic (3 papers), Complexity and Algorithms in Graphs (1 paper), Peer-to-Peer Network Technologies (1 paper), Distributed systems and fault tolerance (1 paper), Chaos-based Image/Signal Encryption (1 paper) and Polynomial and algebraic computation (1 paper). The work is most often cited by research in Information Systems (46 citations), Artificial Intelligence (61 citations) and Computational Theory and Mathematics (11 citations). Atsushi Shimbo has collaborated with scholars based in Japan. Frequent co-authors include S. Kawamura, H. Nozaki, Kazuo Ohta and Shinichi Kawamura. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Electronics Letters 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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