Koji Terada

23 total papers · 654 total citations
15 papers, 394 citations indexed

About

Koji Terada is a scholar working on Biomedical Engineering, Control and Systems Engineering and Social Psychology. According to data from OpenAlex, Koji Terada has authored 15 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 8 papers in Control and Systems Engineering and 2 papers in Social Psychology. Recurrent topics in Koji Terada's work include Robotic Locomotion and Control (11 papers), Prosthetics and Rehabilitation Robotics (7 papers) and Robot Manipulation and Learning (5 papers). Koji Terada is often cited by papers focused on Robotic Locomotion and Control (11 papers), Prosthetics and Rehabilitation Robotics (7 papers) and Robot Manipulation and Learning (5 papers). Koji Terada collaborates with scholars based in Japan. Koji Terada's co-authors include Yasuo Kuniyoshi, Takashi Yamamoto, Fuminori Saito, Yoshiyuki Ohmura, Akihiko Nagakubo, Tomoyuki Yamamoto, Shinsuke Suzuki, Tomonori Yamada and Takaki Miwa and has published in prestigious journals such as Progress in brain research, Robotics and Autonomous Systems and International Journal of Humanoid Robotics.

In The Last Decade

Koji Terada

15 papers receiving 361 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Koji Terada	221	181	123	60	58	15	394
H. Inoue	320 1.4×	216 1.2×	130 1.1×	46 0.8×	25 0.4×	10	406
Sylvain Miossec	281 1.3×	286 1.6×	166 1.3×	58 1.0×	27 0.5×	21	435
Ryohei Ueda	155 0.7×	197 1.1×	108 0.9×	39 0.7×	43 0.7×	32	336
Mehdi Benallegue	299 1.4×	187 1.0×	80 0.7×	35 0.6×	33 0.6×	38	410
K. Regenstein	226 1.0×	291 1.6×	162 1.3×	51 0.8×	62 1.1×	7	433
Rafael Cisneros	310 1.4×	211 1.2×	58 0.5×	69 1.1×	23 0.4×	45	422
Advait Jain	161 0.7×	304 1.7×	146 1.2×	111 1.9×	64 1.1×	12	431
Matthias Fuchs	246 1.1×	250 1.4×	110 0.9×	99 1.6×	16 0.3×	12	401
R. Dillmann	185 0.8×	292 1.6×	159 1.3×	48 0.8×	100 1.7×	6	436
Iori Kumagai	299 1.4×	180 1.0×	61 0.5×	34 0.6×	17 0.3×	36	363

Countries citing papers authored by Koji Terada

Since Specialization

Citations

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

Fields of papers citing papers by Koji Terada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Terada

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

All Works

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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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