Shun Taguchi

409 total citations
24 papers, 290 citations indexed

About

Shun Taguchi is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Shun Taguchi has authored 24 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Automotive Engineering. Recurrent topics in Shun Taguchi's work include Robotics and Sensor-Based Localization (6 papers), Autonomous Vehicle Technology and Safety (5 papers) and Traffic control and management (5 papers). Shun Taguchi is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), Autonomous Vehicle Technology and Safety (5 papers) and Traffic control and management (5 papers). Shun Taguchi collaborates with scholars based in Japan, Switzerland and United States. Shun Taguchi's co-authors include Takayoshi Yoshimura, Md Abdus Samad Kamal, Satoshi Koide, Hiroyuki Kajimoto, Tatsuya Suzuki, Shinkichi Inagaki, Noriaki Hirose, Soichiro Hayakawa, Hiroyuki Okuda and Yuichi Tazaki and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Advanced Robotics.

In The Last Decade

Shun Taguchi

23 papers receiving 278 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shun Taguchi Japan	8	143	139	66	59	43	24	290
Erik Steinmetz Sweden	9	109 0.8×	117 0.8×	40 0.6×	26 0.4×	144 3.3×	11	299
Renran Tian United States	12	42 0.3×	169 1.2×	26 0.4×	46 0.8×	25 0.6×	43	365
Stylianos Papanastasiou United Kingdom	12	176 1.2×	163 1.2×	56 0.8×	36 0.6×	241 5.6×	27	607
Haiwei Wang China	9	83 0.6×	127 0.9×	21 0.3×	28 0.5×	26 0.6×	17	283
Yingshi Guo China	8	98 0.7×	180 1.3×	19 0.3×	72 1.2×	11 0.3×	16	333
Shilpa Gulati United States	5	201 1.4×	205 1.5×	20 0.3×	26 0.4×	23 0.5×	7	421
Ömer Şahin Taş Germany	9	181 1.3×	255 1.8×	36 0.5×	23 0.4×	73 1.7×	16	371
Arief Koesdwiady Canada	6	191 1.3×	68 0.5×	190 2.9×	269 4.6×	49 1.1×	10	455
Andrea Saroldi Italy	8	119 0.8×	217 1.6×	21 0.3×	29 0.5×	35 0.8×	20	343

Countries citing papers authored by Shun Taguchi

Since Specialization

Citations

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

Fields of papers citing papers by Shun Taguchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun Taguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Shun Taguchi. A scholar is included among the top collaborators of Shun Taguchi 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 Shun Taguchi. Shun Taguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Taguchi, Shun, et al.. (2024). CLIP feature-based randomized control using images and text for multiple tasks and robots. Advanced Robotics. 38(15). 1066–1078. 1 indexed citations

Taguchi, Shun, et al.. (2023). Enhancement of Robot Navigation Systems via Human Pointing Instruction. IFAC-PapersOnLine. 56(2). 7058–7064. 1 indexed citations

Taguchi, Shun, et al.. (2023). Collision-free Navigation with Unknown and Heterogeneous Social Preferences. IFAC-PapersOnLine. 56(2). 11429–11435.

Taguchi, Shun, et al.. (2023). Enhanced Robot Navigation with Human Geometric Instruction. 9071–9078. 2 indexed citations

Taguchi, Shun & Noriaki Hirose. (2022). Unsupervised Simultaneous Learning for Camera Re-Localization and Depth Estimation from Video. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6840–6847. 1 indexed citations

Hirose, Noriaki, et al.. (2021). Probabilistic Visual Navigation with Bidirectional Image Prediction. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1539–1546. 4 indexed citations

Hirose, Noriaki, et al.. (2021). Variational Monocular Depth Estimation for Reliability Prediction. 31. 637–647. 3 indexed citations

Taguchi, Shun & Kiyosumi Kidono. (2020). Exclusive Association Sampling to Improve Bayesian Multi-Target Tracking. IEEE Access. 8. 193116–193127. 1 indexed citations

Taguchi, Shun, Satoshi Koide, & Takayoshi Yoshimura. (2018). Online Map Matching With Route Prediction. IEEE Transactions on Intelligent Transportation Systems. 20(1). 338–347. 40 indexed citations

10.

Taguchi, Shun & Takayoshi Yoshimura. (2018). Robust Bayesian filtering for positioning using GPS & INS in multipath environments. 816–821. 3 indexed citations

11.

Taguchi, Shun, et al.. (2017). COMS-VR: Mobile virtual reality entertainment system using electric car and head-mounted display. 130–133. 36 indexed citations

12.

Kamal, Md Abdus Samad, Shun Taguchi, & Takayoshi Yoshimura. (2016). Efficient Driving on Multilane Roads Under a Connected Vehicle Environment. IEEE Transactions on Intelligent Transportation Systems. 17(9). 2541–2551. 64 indexed citations

13.

Kamal, Md Abdus Samad, Shun Taguchi, & Takayoshi Yoshimura. (2015). Efficient vehicle driving on multi-lane roads using model predictive control under a connected vehicle environment. 736–741. 39 indexed citations

14.

Kamal, Md Abdus Samad, Shun Taguchi, & Takayoshi Yoshimura. (2015). Intersection Vehicle Cooperative Eco-Driving in the Context of Partially Connected Vehicle Environment. 1261–1266. 36 indexed citations

15.

Okuda, Hiroyuki, et al.. (2010). Model predictive assisting control of vehicle following task based on driver model. 890–895. 16 indexed citations

16.

Taguchi, Shun, Tatsuya Suzuki, Soichiro Hayakawa, & Shinkichi Inagaki. (2009). Identification of hybrid system based on Probability weighted multiple ARX model. 2009 ICCAS-SICE. 4837–4842. 1 indexed citations

17.

Taguchi, Shun, Tatsuya Suzuki, Soichiro Hayakawa, & Shinkichi Inagaki. (2009). Identification of Probability Weighted Multiple ARX Models and Its Application to Behavior Analysis. Transactions of the Society of Instrument and Control Engineers. 45(8). 414–421. 1 indexed citations

18.

Taguchi, Shun, Tatsuya Suzuki, Soichiro Hayakawa, & Shinkichi Inagaki. (2009). Identification of Probability weighted multiple ARX models and its application to behavior analysis. 40. 3952–3957. 11 indexed citations

19.

Taguchi, Shun, et al.. (2008). Quantified Analysis of the Decision Making in Driving Behavior. Transactions of the Society of Instrument and Control Engineers. 44(3). 269–277. 2 indexed citations

20.

Taguchi, Shun, Shinkichi Inagaki, Tatsuya Suzuki, S. Hayakawa, & Nuio Tsuchida. (2007). Modeling and analysis of driver's decision making based on logistic regression model. 55?02. 2390–2395. 1 indexed citations

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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