Akihide Hanaki

458 total citations
49 papers, 277 citations indexed

About

Akihide Hanaki is a scholar working on Discrete Mathematics and Combinatorics, Artificial Intelligence and Geometry and Topology. According to data from OpenAlex, Akihide Hanaki has authored 49 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Discrete Mathematics and Combinatorics, 25 papers in Artificial Intelligence and 17 papers in Geometry and Topology. Recurrent topics in Akihide Hanaki's work include Finite Group Theory Research (39 papers), Coding theory and cryptography (25 papers) and graph theory and CDMA systems (15 papers). Akihide Hanaki is often cited by papers focused on Finite Group Theory Research (39 papers), Coding theory and cryptography (25 papers) and graph theory and CDMA systems (15 papers). Akihide Hanaki collaborates with scholars based in Japan, South Korea and Iran. Akihide Hanaki's co-authors include Katsuhiro Uno, Daisuke Tambara, Masahiko Miyamoto, Paul-Hermann Zieschang, B. Tayfeh‐Rezaie, Hadi Kharaghani, Ali Mohammadian, Ilia Ponomarenko and Shigeo Koshitani and has published in prestigious journals such as Proceedings of the American Mathematical Society, Linear Algebra and its Applications and Duke Mathematical Journal.

In The Last Decade

Akihide Hanaki

36 papers receiving 252 citations

Peers

Akihide Hanaki
Comparison fields: 5 of 23
  • Discrete Mathematics and Combinatorics 224
  • Artificial Intelligence 141
  • Electrical and Electronic Engineering 110
  • Geometry and Topology 106
  • Algebra and Number Theory 71
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Citations per field, relative to Akihide Hanaki
Akihide Hanaki · 1×
Citations per year, relative to Akihide Hanaki
Akihide Hanaki · 1×

Countries citing papers authored by Akihide Hanaki

Since Specialization
Citations

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

Fields of papers citing papers by Akihide Hanaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihide Hanaki

This figure shows the co-authorship network connecting the top 25 collaborators of Akihide Hanaki. A scholar is included among the top collaborators of Akihide Hanaki 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 Akihide Hanaki. Akihide Hanaki 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
# Work Indexed citations
1 0
2 0
3 0
4 2
5 0
6 0
7 7
8 9
9 4
10 9
11 3
12 22
13 10
14
Classification of primitive association schemes with small vertices (Algebraic Combinatorics)
2
15 12
16 1
17 6
18 12
19
A characterization of Mp-Groups
0
20 1

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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