Takeshi Nishida

870 total citations
61 papers, 562 citations indexed

About

Takeshi Nishida is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Takeshi Nishida has authored 61 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Control and Systems Engineering, 21 papers in Computer Vision and Pattern Recognition and 20 papers in Aerospace Engineering. Recurrent topics in Takeshi Nishida's work include Robotics and Sensor-Based Localization (19 papers), Robotic Path Planning Algorithms (11 papers) and Robotics and Automated Systems (8 papers). Takeshi Nishida is often cited by papers focused on Robotics and Sensor-Based Localization (19 papers), Robotic Path Planning Algorithms (11 papers) and Robotics and Automated Systems (8 papers). Takeshi Nishida collaborates with scholars based in Japan, Italy and Mexico. Takeshi Nishida's co-authors include Sozo Inoue, Kenjiro Tadakuma, Shuichi Kurogi, Nicola Ivan Giannoccaro, Yen‐Wei Chen, Naoki Matsushiro, Yoshinori Kawamura, Guifang Duan, Yasuhiro Watanabe and Kunihiro Chihara and has published in prestigious journals such as Veterinary Microbiology, International Journal of Advanced Robotic Systems and IEEJ Transactions on Industry Applications.

In The Last Decade

Takeshi Nishida

56 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takeshi Nishida Japan 11 236 212 183 116 87 61 562
Alberto Rodríguez Spain 14 127 0.5× 266 1.3× 375 2.0× 92 0.8× 122 1.4× 60 697
Yinghao Cai China 14 347 1.5× 84 0.4× 117 0.6× 163 1.4× 50 0.6× 60 656
Pengfei Wang China 13 328 1.4× 301 1.4× 258 1.4× 83 0.7× 110 1.3× 67 796
Hsien-I Lin Taiwan 13 243 1.0× 118 0.6× 300 1.6× 81 0.7× 97 1.1× 86 633
Boubaker Daâchi France 16 150 0.6× 331 1.6× 464 2.5× 81 0.7× 108 1.2× 63 948
Tirthankar Bandyopadhyay Australia 15 325 1.4× 176 0.8× 130 0.7× 65 0.6× 84 1.0× 41 686
Augie Widyotriatmo Indonesia 13 196 0.8× 89 0.4× 283 1.5× 52 0.4× 56 0.6× 104 616
Víctor Ayala-Ramírez Mexico 11 426 1.8× 75 0.4× 126 0.7× 93 0.8× 130 1.5× 50 683
Maani Ghaffari United States 11 233 1.0× 136 0.6× 144 0.8× 124 1.1× 32 0.4× 55 566
Peng Yang China 14 61 0.3× 333 1.6× 366 2.0× 151 1.3× 95 1.1× 100 901

Countries citing papers authored by Takeshi Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Nishida

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Nishida. A scholar is included among the top collaborators of Takeshi Nishida 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 Takeshi Nishida. Takeshi Nishida 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
1.
Giannoccaro, Nicola Ivan, Takeshi Nishida, A. Lay-Ekuakille, Ramiro Velázquez, & Paolo Visconti. (2023). Processing of Lidar and IMU Data for Target Detection and Odometry of a Mobile Robot. Journal of Automation Mobile Robotics & Intelligent Systems. 3–13. 1 indexed citations
2.
Noguchi, Akira, Takeshi Nishida, Hideki Hatta, et al.. (2021). Efficacy of Cetuximab and 4-PBA Combination Therapy in Human Oral Squamous Cell Carcinoma Cells. 5(4). 2 indexed citations
3.
Nishida, Takeshi, et al.. (2020). Application of 5th Generation Mobile Communication System to Industrial Robot Control. IEEJ Transactions on Industry Applications. 140(4). 314–326. 1 indexed citations
4.
Yamashita, Takahiro, et al.. (2018). Recurrent Neural Network and Rapidly-exploring Random Tree Path Planning Adaptable to Environmental Change. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2018(0). 2A2–D16. 1 indexed citations
5.
Yamashita, Takahiro, et al.. (2017). Robot Path Training and Planning Usign LSTM Network. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2017(0). 2P1–G03.
6.
Morimoto, Shinichi, et al.. (2016). A case of intentional massive table salt ingestion. 27(8). 255.
7.
Nishida, Takeshi & Shuichi Kurogi. (2013). Rotation Matrix Estimation Between Non-Corresponding 3-D Point Sets. Journal of the Robotics Society of Japan. 31(6). 624–627. 5 indexed citations
8.
Nishida, Takeshi. (2013). State Feedback Control using Particle Filter. IEEJ Transactions on Electronics Information and Systems. 133(7). 1376–1383. 3 indexed citations
9.
Duan, Guifang, et al.. (2012). A dynamic facial expression database for quantitative analysis of facial paralysis. 949–952. 12 indexed citations
10.
Nishida, Takeshi, et al.. (2011). Self-Tuning PI Control Using Adaptive PSO of a Web Transport System with Overlapping Decentralized Control. IEEJ Transactions on Industry Applications. 131(12). 1442–1450. 3 indexed citations
11.
Nishida, Takeshi, et al.. (2011). A self-tuning PI decentralized control of web transport system. 456–461. 1 indexed citations
12.
Nishida, Takeshi, Norikazu Ikoma, & Shuichi Kurogi. (2010). Tracking and shape estimation of deformable object using particle filter and adaptive vector quantizer. World Automation Congress.
13.
Nishida, Takeshi, Yen‐Wei Chen, Naoki Matsushiro, & Kunihiro Chihara. (2010). An image based quantitative evaluation method for Facial Paralysis. International Conference on Software Engineering. 706–709. 7 indexed citations
14.
Nishida, Takeshi, et al.. (2007). Target Tracking and Posture Estimation of 3D Objects by Using Particle Filter and Parametric Eigenspace Method.. IPCV. 67–74. 2 indexed citations
15.
Kurogi, Shuichi, et al.. (2006). Mobile Robot Navigation Using Guideposts and a Single Camera. Transactions of the Society of Instrument and Control Engineers. 42(1). 62–69. 2 indexed citations
16.
Kurogi, Shuichi, et al.. (2006). Batch Learning Competitive Associative Net and Its Properties. Transactions of the Society of Instrument and Control Engineers. 42(8). 916–925. 2 indexed citations
17.
Nishida, Takeshi, et al.. (2005). Development of a vision system for an outdoor service robot to collect trash on streets. Veterinary Microbiology. 86(3). 100–105. 5 indexed citations
18.
Kurogi, Shuichi, et al.. (2001). A Thermal Model of the RCA Cleaning System and Adaptive Predictive Temperature Control of Cleaning Solutions. Transactions of the Society of Instrument and Control Engineers. 37(8). 754–762. 1 indexed citations
19.
Kurogi, Shuichi & Takeshi Nishida. (2001). Adaptive and Predictive Control Using Competitive Associative Net for Learning and Switching of Multiple Models. Transactions of the Society of Instrument and Control Engineers. 37(3). 203–212. 4 indexed citations
20.
Nishida, Takeshi & Shuichi Kurogi. (2000). A Multi-Layered Competitive Net for Pattern Recognition Invariant to Coordinate Transformations. 7(4). 106–114. 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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