Isao Hayashi

113 papers receiving 1.8k citations

Peers

Isao Hayashi
Comparison fields: 5 of 155
  • Artificial Intelligence 682
  • Statistics and Probability 317
  • Management Science and Operations Research 310
  • Control and Systems Engineering 278
  • Molecular Biology 221
Replace K. R. K. Murthy with:
K. R. K. Murthy Singapore
Michèl Schummer United States
J. T. Gene Hwang United States
Hon Keung Tony Ng United States
Sara Álvarez de Andrés Spain
José M. Jerez Spain
Marija Bačauskienė Lithuania
Faisal Shafait Germany
Jasper Snoek United States
Adas Gelžinis Lithuania
Isao Hayashi relative to K. R. K. Murthy Singapore K. R. K. Murthy's profile →
Citations per field
00.5×6.6×
K. R. K. Murthy · 1×
Citations per year

Countries citing papers authored by Isao Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Isao Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isao Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Isao Hayashi. A scholar is included among the top collaborators of Isao Hayashi 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 Isao Hayashi. Isao Hayashi 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
#WorkIndexed citations
1 0
2 2
3
Fuzzy bio-interface: Can fuzzy sets be an interface with brain?
1
4 1
5
Knowledge Acquisition from Motion of Evacuation Instruction Using Singular Value Decomposition
2
6
A Proposal of Boosting Algorithm for Brain-Computer Interface Using Probabilistic Data Interpolation
3
7
Learning and Memory in Living Neuronal Networks Connected to Moving Robot
7
8 2
9
Pattern Analysis of Dishonor Enterprise Using TAM Network
2
10
A Formulation of Fuzzy TAM Network with Gabor Type Receptive Fields
5
11
Species diversity and phytomass of the grasslands in Inner Mongolia, China
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12 26
13 1
14 1
15 9
16 3
17 12
18 6
19 14
20 5

About Isao Hayashi

Isao Hayashi is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Aquatic Science, having authored 137 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (21 papers), Fuzzy Logic and Control Systems (17 papers) and Neural dynamics and brain function (16 papers). The work is most often cited by research in Statistics and Probability (317 citations), Management Science and Operations Research (310 citations) and Artificial Intelligence (682 citations). Isao Hayashi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hideyuki Takagi, Hideo Tanaka, Junzo Watada, Hiroyoshi Nomura, Masatomi Hosoi, Haruhiko Toyohara, Yoshiteru Kitahori, Noboru Wakami, N. Wakami and Y Hiasa. Their work appears in journals such as FEBS Letters, European Journal of Operational Research and Marine Ecology Progress Series.

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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