T. Mita

1.5k citations
74 papers · 1.0k indexed · h-index 18

T. Mita

67 papers receiving 983 citations

Peers

T. Mita
Comparison fields: 5 of 66
  • Control and Systems Engineering 703
  • Biomedical Engineering 428
  • Numerical Analysis 31
  • Mechanical Engineering 213
  • Aerospace Engineering 109
Replace Tsutomu Mita with:
Tsutomu Mita Japan
Morikazu Takegaki Japan
Mahmoud Tarokh United States
Marcel Heertjes Netherlands
A. Balluchi Italy
D. Dawson United States
Arun D. Mahindrakar India
K. C. Gupta United States
Zachary Manchester United States
Claudio Bonivento Italy
T. Mita relative to Tsutomu Mita Japan Tsutomu Mita's profile →
Citations per field
00.5×2.8×
Tsutomu Mita · 1×
Citations per year

Countries citing papers authored by T. Mita

Since Specialization
Citations

This map shows the geographic impact of T. Mita'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 T. Mita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Mita more than expected).

Fields of papers citing papers by T. Mita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside T. Mita, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Mita Line = papers co-authored together T. Mita links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20031
2
Switching control for formation of UAVS - collision avoidance cases
20031
3 20038
4
Realization of dynamic walking and running of a cat type quadruped robot using variable constraint control
20033
5 200330
6 20035
7 20030
8 20034
9 20030
10 20031
11 20023
12 200137
13
H∞ Control of a Plant With Redundant Degree of Freedom
19911
14
Fuzzy adaptive control with an associative memory system
19918
15 19914
16 19908
17 198568
18 197735
19 19763
20 197523

About T. Mita

T. Mita is a scholar working on Control and Systems Engineering, Numerical Analysis, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 74 papers that have together received 1.0k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (22 papers), Control and Dynamics of Mobile Robots (21 papers), Stability and Control of Uncertain Systems (19 papers), Robotic Locomotion and Control (14 papers), Robotic Path Planning Algorithms (13 papers), Iterative Learning Control Systems (10 papers), Advanced Control Systems Optimization (9 papers) and Model Reduction and Neural Networks (8 papers). The work is most often cited by research in Control and Systems Engineering (703 citations), Biomedical Engineering (428 citations), Numerical Analysis (31 citations), Mechanical Engineering (213 citations) and Aerospace Engineering (109 citations). T. Mita has collaborated with scholars based in Japan, Australia and Italy. Frequent co-authors include Sang-Ho Hyon, Mitsuo Hirata, T. Emura, Hiroshi Yoshida, Keisuke Arikawa, H. Numasato, Takayuki Ikeda, T. Takagi, Toru Yamaguchi and Masahiro Kaneda. Their work appears in journals such as IEEE Transactions on Automatic Control, International Journal of Control, IEEE Transactions on Robotics and Automation, IEEE Transactions on Industrial Electronics and IEEE Transactions on Biomedical Engineering.

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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