Akira Notsu

1.1k total citations
150 papers, 637 citations indexed

About

Akira Notsu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Akira Notsu has authored 150 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Artificial Intelligence, 42 papers in Computer Vision and Pattern Recognition and 41 papers in Information Systems. Recurrent topics in Akira Notsu's work include Advanced Clustering Algorithms Research (65 papers), Face and Expression Recognition (31 papers) and Data Management and Algorithms (28 papers). Akira Notsu is often cited by papers focused on Advanced Clustering Algorithms Research (65 papers), Face and Expression Recognition (31 papers) and Data Management and Algorithms (28 papers). Akira Notsu collaborates with scholars based in Japan. Akira Notsu's co-authors include Katsuhiro Honda, Hidetomo Ichihashi, H. Ichihashi, Koji Yasuda, Hiroki Kato, Takao Hattori, Takeshi Yamamoto, Masakazu Shibahara, Osamu Katai and Hiroshi Kawakami and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Akira Notsu

115 papers receiving 523 citations

Peers

Akira Notsu
Comparison fields: 5 of 76
  • Artificial Intelligence 374
  • Computer Vision and Pattern Recognition 217
  • Information Systems 120
  • Signal Processing 104
  • Building and Construction 94
Replace Alessandra Mileo with:
Alessandra Mileo Ireland
Olivier Verscheure United States
Jieren Cheng China
Avinash Chandra Pandey India
Marcin Korytkowski Poland
Atsuhiro Takasu Japan
Keqin Li United States
Zongtao Duan China
Abbas Acar United States
Alessandra Mileo Ireland View profile →
Citations per field, relative to Akira Notsu
Akira Notsu · 1×
Citations per year, relative to Akira Notsu
Akira Notsu · 1×

Countries citing papers authored by Akira Notsu

Since Specialization
Citations

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

Fields of papers citing papers by Akira Notsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Notsu

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Notsu. A scholar is included among the top collaborators of Akira Notsu 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 Akira Notsu. Akira Notsu 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 15
3 6
4 5
5 3
6 6
7
Linear fuzzy cluster extraction from non-euclidean relational data
1
8 0
9 3
10
Sequential user-item weighted-cluster extraction for Collaborative filtering
1
11
Social simulation based on perceptual balance on the influence of communication styles
1
12 0
13 1
14
Particle Swarm in State and Action Space for Q-learning
1
15
A Study on Cluster Validation in Fuzzy Clustering Based on PCA-guided Procedure
3
16
Contraction Algorithm in State and Action Space for Q-learning
3
17 1
18 3
19
Item-based Collaborative Filtering by Linear Fuzzy Clustering
5
20
An Intuitive Text Mining Method Based on Variable Selection in Principal Component Analysis
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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026