Tatsuya Ishihara

837 total citations
41 papers, 567 citations indexed

About

Tatsuya Ishihara is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Tatsuya Ishihara has authored 41 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Electrical and Electronic Engineering and 7 papers in Biomedical Engineering. Recurrent topics in Tatsuya Ishihara's work include Tactile and Sensory Interactions (9 papers), Balance, Gait, and Falls Prevention (4 papers) and Robotics and Sensor-Based Localization (4 papers). Tatsuya Ishihara is often cited by papers focused on Tactile and Sensory Interactions (9 papers), Balance, Gait, and Falls Prevention (4 papers) and Robotics and Sensor-Based Localization (4 papers). Tatsuya Ishihara collaborates with scholars based in Japan, United States and Italy. Tatsuya Ishihara's co-authors include Chieko Asakawa, Hironobu Takagi, Tomoki Aoyama, Shu Nishiguchi, Hiromu Ito, Shuhei Mori, Kris Kitani, Kazuya Okamoto, Minoru Yamada and Hiroyuki Yoshitomi and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and IEEE Journal of Solid-State Circuits.

In The Last Decade

Tatsuya Ishihara

38 papers receiving 544 citations

Peers

Tatsuya Ishihara
Comparison fields: 5 of 97
  • Cognitive Neuroscience 146
  • Biomedical Engineering 135
  • Computer Vision and Pattern Recognition 135
  • Human-Computer Interaction 102
  • Physical Therapy, Sports Therapy and Rehabilitation 99
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Citations per field, relative to Tatsuya Ishihara
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Citations per year, relative to Tatsuya Ishihara
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Countries citing papers authored by Tatsuya Ishihara

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Ishihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Ishihara

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Ishihara. A scholar is included among the top collaborators of Tatsuya Ishihara 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 Tatsuya Ishihara. Tatsuya Ishihara 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 17
2 12
3 17
4 45
5 3
6
Prediction of the decision-making that a pedestrian talks with a receptionist robot and Quantification of mental effects on the pedestrian.
1
7 1
8 6
9 16
10 13
11 157
12 1
13 5
14 69
15 0
16 0
17 11
18 3
19 5
20 5

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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