Hajime Kimura

1.9k citations
89 papers · 1.4k · h-index 21

Impact in

Papers in

Hajime Kimura

79 papers receiving 1.3k citations

Peers

Hajime Kimura
Comparison fields: 5 of 86
  • Polymers and Plastics 635
  • Mechanical Engineering 661
  • Condensed Matter Physics 88
  • Electronic, Optical and Magnetic Materials 133
  • Artificial Intelligence 228
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Weiping Xie China
Hyungchul Kim South Korea
Yubo Zhang China
Bing Chen China
Hongjia Li China
An Chen China
Seunghyun Lee South Korea
Ming Yang China
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Sunwoo Lee South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Hajime Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Hajime Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hajime Kimura, 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 Hajime Kimura Line = papers co-authored together Hajime Kimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998135
2 199992
3 200087
4
An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function
199869
5 200166
6 200864
7 200764
8 200360
9 199956
10
Reinforcement Learning in POMDPs with Function Approximation
199745
11 201143
12 200937
13 197832
14 200132
15 200129
16
An Analysis of Actor-Critic Algorithms Using Eligibility Traces : Reinforcement Learning with Imperfect Value Functions
200025
17 197025
18 197924
19 201224
20 201124

About Hajime Kimura

Hajime Kimura is a scholar working on Mechanical Engineering, Polymers and Plastics, Artificial Intelligence, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Synthesis and properties of polymers (28 papers), Epoxy Resin Curing Processes (28 papers), Reinforcement Learning in Robotics (17 papers), Injection Molding Process and Properties (8 papers), Adaptive Dynamic Programming Control (6 papers), Robotic Path Planning Algorithms (6 papers), Evolutionary Algorithms and Applications (6 papers) and Manufacturing Process and Optimization (5 papers). The work is most often cited by research in Polymers and Plastics (635 citations), Mechanical Engineering (661 citations), Condensed Matter Physics (88 citations), Electronic, Optical and Magnetic Materials (133 citations) and Artificial Intelligence (228 citations). Hajime Kimura has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Akihiro Matsumoto, Keiko Ohtsuka, Shigenobu Kobayashi, Kiichi Hasegawa, Akinori Fukuda, T. Yamashita, S. Kobayashi, Junichi Tani, Akikazu Matsumoto and Hiroyasu Kido. Their work appears in journals such as Journal of Applied Polymer Science, Polymers for Advanced Technologies, IEEE Transactions on Applied Superconductivity, Nuclear Fusion and Progress of Theoretical Physics.

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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