Tatsuya Suzuki

3.3k citations
295 papers · 2.4k indexed · h-index 23
Topics
Autonomous Vehicle Technology and Safety (57 papers)Robotic Path Planning Algorithms (41 papers)Advanced Control Systems Optimization (37 papers)

In The Last Decade

Tatsuya Suzuki

264 papers receiving 2.3k citations

Peers

Tatsuya Suzuki
Comparison fields: 5 of 118
  • Control and Systems Engineering 1.1k
  • Automotive Engineering 829
  • Electrical and Electronic Engineering 589
  • Computer Vision and Pattern Recognition 357
  • Mechanical Engineering 250
Replace Xiaoxiang Na with:
Xiaoxiang Na United Kingdom
Yi Lu Murphey United States
Alexandros Mouzakitis United Kingdom
Zhongxu Hu Singapore
Yunfeng Ai China
Jianwei Gong China
Saïd Mammar France
J. Marius Zöllner Germany
Hermann Winner Germany
Tatsuya Suzuki relative to Xiaoxiang Na United Kingdom Xiaoxiang Na's profile →
Citations per field
00.5×10.9×
Xiaoxiang Na · 1×
Citations per year

Countries citing papers authored by Tatsuya Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Suzuki. A scholar is included among the top collaborators of Tatsuya Suzuki 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 Suzuki. Tatsuya Suzuki 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 1
2 1
3 30
4 1
5 35
6 6
7 1
8 56
9 11
10 18
11 3
12 1
13 2
14
Modeling and Analysis of Vehicle Following Task based on PWARX model
1
15 0
16
Safety verification of programmable logic controller taking into account the physical dynamics - application to material handling robots
3
17 3
18 5
19 13
20 1

About Tatsuya Suzuki

Tatsuya Suzuki is a scholar working on Automotive Engineering, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 295 papers that have together received 2.4k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (57 papers), Robotic Path Planning Algorithms (41 papers) and Advanced Control Systems Optimization (37 papers). The work is most often cited by research in Automotive Engineering (829 citations), Control and Systems Engineering (1.1k citations) and Industrial and Manufacturing Engineering (181 citations). Tatsuya Suzuki has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Shinkichi Inagaki, Hiroyuki Okuda, S. Okuma, Yuichi Tazaki, Hisahide Nakamura, Koichi Ito, Akihiko Kawashima, Y. Uchikawa, Takeshi Furuhashi and Takeshi Ozaki. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Electronics.

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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