Yoko Sasaki

719 citations
66 papers · 485 indexed · h-index 13
Topics
Speech and Audio Processing (28 papers)Robotics and Sensor-Based Localization (20 papers)Robotic Path Planning Algorithms (16 papers)

In The Last Decade

Yoko Sasaki

59 papers receiving 461 citations

Peers

Yoko Sasaki
Comparison fields: 5 of 55
  • Signal Processing 233
  • Computer Vision and Pattern Recognition 168
  • Aerospace Engineering 129
  • Electrical and Electronic Engineering 110
  • Computational Mechanics 77
Replace Jongmoo Choi with:
Jongmoo Choi United States
Yubin Kuang Sweden
Federico Pedersini Italy
Hengchin Yeh United States
Jianwen Chen China
J.M. Villadangos Spain
Anton Konushin Russia
Artūras Serackis Lithuania
Yoko Sasaki relative to Jongmoo Choi United States Jongmoo Choi's profile →
Citations per field
00.5×4.8×
Jongmoo Choi · 1×
Citations per year

Countries citing papers authored by Yoko Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Sasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Sasaki. A scholar is included among the top collaborators of Yoko Sasaki 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 Yoko Sasaki. Yoko Sasaki 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 3
3
Deep Reactive Planning in Dynamic Environments
1
4 4
5 5
6 13
7 3
8 12
9 3
10 13
11 0
12 11
13 10
14 16
15 3
16 1
17 58
18 2
19
Visual Pattern Memory of Chromatic and Achromatic Stimuli
1
20 2

About Yoko Sasaki

Yoko Sasaki is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Geology, having authored 66 papers that have together received 485 indexed citations. Recurring topics across this work include Speech and Audio Processing (28 papers), Robotics and Sensor-Based Localization (20 papers) and Robotic Path Planning Algorithms (16 papers). The work is most often cited by research in Signal Processing (233 citations), Computer Vision and Pattern Recognition (168 citations) and Aerospace Engineering (129 citations). Yoko Sasaki has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Hiroshi Mizoguchi, Satoshi Kagami, Asako Kanezaki, S. Kagami, Simon Thompson, Hiroshi Takemura, Yusuke Yoshiyasu, Kazuyoshi Yoshii, Masatoshi Okutomi and Ryo Tanabe. Their work appears in journals such as IEEE Access, IEEE Sensors Journal and IEEE Robotics and Automation Letters.

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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