Iwaki Toshima

27 papers receiving 447 citations

Peers

Iwaki Toshima
Comparison fields: 5 of 45
  • Control and Systems Engineering 250
  • Computer Vision and Pattern Recognition 196
  • Cognitive Neuroscience 147
  • Biomedical Engineering 118
  • Artificial Intelligence 100
Replace Luis Molina-Tanco with:
Luis Molina-Tanco Spain
Tsutomu Miyasato Japan
Anna Gruebler Japan
Irene Albrecht Germany
Hitoshi Konosu Japan
Samer Al Moubayed Sweden
Masayoshi Kanoh Japan
Nadine E. Miner United States
Hiroaki Arie Japan
Lijin Aryananda United States
Iwaki Toshima relative to Luis Molina-Tanco Spain Luis Molina-Tanco's profile →
Citations per field
00.5×4.4×
Luis Molina-Tanco · 1×
Citations per year

Countries citing papers authored by Iwaki Toshima

Since Specialization
Citations

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

Fields of papers citing papers by Iwaki Toshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iwaki Toshima

This figure shows the co-authorship network connecting the top 25 collaborators of Iwaki Toshima. A scholar is included among the top collaborators of Iwaki Toshima 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 Iwaki Toshima. Iwaki Toshima 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 2
2 1
3 0
4 10
5 3
6 2
7 18
8 0
9 4
10 2
11 2
12 5
13
Sound localization using an auditory telepresence robot : TeleHead II
3
14 20
15 1
16
Advanced version of a steerable dummy head that tracks human head movement in real time : TeleHead II
4
17 1
18 260
19 26
20 20

About Iwaki Toshima

Iwaki Toshima is a scholar working on Signal Processing, Cognitive Neuroscience and Sensory Systems, having authored 29 papers that have together received 483 indexed citations. Recurring topics across this work include Speech and Audio Processing (11 papers), Hearing Loss and Rehabilitation (11 papers) and Action Observation and Synchronization (8 papers). The work is most often cited by research in Control and Systems Engineering (250 citations), Human-Computer Interaction (57 citations) and Computer Vision and Pattern Recognition (196 citations). Iwaki Toshima has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Tetsunari Inamura, Yoshihiko Nakamura, H. Tanie, Tatsuya Hirahara, Shigeaki Aoki, Daniel Pressnitzer, Hisashi Uematsu, Hirohito M. Kondo, Makio Kashino and Makoto Otani. Their work appears in journals such as Proceedings of the National Academy of Sciences, The International Journal of Robotics Research and Frontiers in Neuroscience.

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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