Naoki Uchiyama

382 total papers · 2.7k total citations
230 papers, 2.1k citations indexed

About

Naoki Uchiyama is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Naoki Uchiyama has authored 230 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Control and Systems Engineering, 109 papers in Mechanical Engineering and 45 papers in Computational Mechanics. Recurrent topics in Naoki Uchiyama's work include Iterative Learning Control Systems (69 papers), Dynamics and Control of Mechanical Systems (41 papers) and Hydraulic and Pneumatic Systems (38 papers). Naoki Uchiyama is often cited by papers focused on Iterative Learning Control Systems (69 papers), Dynamics and Control of Mechanical Systems (41 papers) and Hydraulic and Pneumatic Systems (38 papers). Naoki Uchiyama collaborates with scholars based in Japan, Egypt and Tanzania. Naoki Uchiyama's co-authors include Shigenori Sano, Huimin Ouyang, Abdelkhalick Mohammad, Bambang Sumantri, Kenshi Fukumitsu, Masayoshi Kumagai, Takafumi Kanazawa, Takao Umegaki, Masashi Mikami and Oliver Sawodny and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Naoki Uchiyama

211 papers receiving 2.0k citations

Author Peers

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

Author						Papers	Cites
Naoki Uchiyama	1.2k	750	339	324	279	230	2.1k
Yu Zhu	1.6k 1.4×	1.0k 1.4×	329 1.0×	170 0.5×	149 0.5×	169	2.4k
Dawei Zhang	925 0.8×	1.4k 1.8×	757 2.2×	379 1.2×	110 0.4×	144	2.7k
Chuxiong Hu	2.2k 1.8×	1.6k 2.1×	575 1.7×	296 0.9×	246 0.9×	157	3.0k
Tao Zhao	1.1k 0.9×	614 0.8×	327 1.0×	56 0.2×	230 0.8×	172	2.4k
Christian Hühne	377 0.3×	1.1k 1.5×	209 0.6×	186 0.6×	87 0.3×	188	3.0k
Liping Wang	1.4k 1.2×	1.5k 2.0×	856 2.5×	265 0.8×	146 0.5×	173	2.8k
Haitao Liu	1.7k 1.4×	947 1.3×	1.0k 3.0×	163 0.5×	167 0.6×	219	3.2k
Tonghai Wu	501 0.4×	1.5k 2.0×	262 0.8×	143 0.4×	389 1.4×	150	2.5k
Guang Li	788 0.7×	581 0.8×	326 1.0×	179 0.6×	94 0.3×	142	2.3k
Xu Yang	457 0.4×	684 0.9×	498 1.5×	112 0.3×	82 0.3×	155	2.4k

Countries citing papers authored by Naoki Uchiyama

Since Specialization

Citations

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

Fields of papers citing papers by Naoki Uchiyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Uchiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Uchiyama. A scholar is included among the top collaborators of Naoki Uchiyama 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 Naoki Uchiyama. Naoki Uchiyama 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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