Kazushi Ikeda

3.1k total citations
199 papers, 2.1k citations indexed

About

Kazushi Ikeda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Kazushi Ikeda has authored 199 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 38 papers in Computer Vision and Pattern Recognition and 21 papers in Signal Processing. Recurrent topics in Kazushi Ikeda's work include Neural Networks and Applications (19 papers), Face and Expression Recognition (17 papers) and Machine Learning and Algorithms (13 papers). Kazushi Ikeda is often cited by papers focused on Neural Networks and Applications (19 papers), Face and Expression Recognition (17 papers) and Machine Learning and Algorithms (13 papers). Kazushi Ikeda collaborates with scholars based in Japan, United States and Philippines. Kazushi Ikeda's co-authors include Hajime Kita, S. Kobayashi, Takatomi Kubo, Mitsunobu Doi, Tomohiro Shibata, Masamichi Kamihira, Akira Itô, Yoshinori Kawabe, Gen Hattori and Keiichiro Hoashi and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and Scientific Reports.

In The Last Decade

Kazushi Ikeda

185 papers receiving 2.1k citations

Peers

Kazushi Ikeda
Comparison fields: 5 of 176
  • Artificial Intelligence 637
  • Computational Theory and Mathematics 283
  • Molecular Biology 238
  • Biomedical Engineering 229
  • Electrical and Electronic Engineering 227
Replace Jean-Baptiste Mouret with:
Jean-Baptiste Mouret France
Andy M. Tyrrell United Kingdom
Dongqing Wang China
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Josh Bongard United States
Ralf Mikut Germany
Huiqi Li China
Owen Holland United Kingdom
Jens Ziegler Germany
Jianxin Zhang China
Jean-Baptiste Mouret France View profile →
Citations per field, relative to Kazushi Ikeda
Kazushi Ikeda · 1×
Citations per year, relative to Kazushi Ikeda
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Countries citing papers authored by Kazushi Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Kazushi Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazushi Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Kazushi Ikeda. A scholar is included among the top collaborators of Kazushi Ikeda 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 Kazushi Ikeda. Kazushi Ikeda 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 4
3 1
4 2
5 13
6
ResNet and Batch-normalization Improve Data Separability.
6
7 24
8
Better generalization with less data using robust gradient descent
6
9 10
10 2
11
A study on investigating the difference between expert and non-expert drivers using an easy-to-use driving simulator
1
12
Packet loss rate estimation with active and passive measurements
4
13 1
14
A comparison of the brain activity between experts and non-experts in a basic drumming using NIRS
1
15
A collision risk criterion based on imaginary brakes
1
16
Estimation of Driving State by Modeling Brake Pressure Signals
1
17
On the Effect of Conditions among Agents in Multi-Agent Reinforcement Learning
1
18
Boundedness of Input Space and Effective Dimension of Feature Space in Kernel Methods
2
19 1
20
A Stability Analysis of Predictor-Based Least Squares Algorithm
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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