Hajime Kimura

1.9k total citations
89 papers, 1.4k citations indexed

About

Hajime Kimura is a scholar working on Mechanical Engineering, Polymers and Plastics and Artificial Intelligence. According to data from OpenAlex, Hajime Kimura has authored 89 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Mechanical Engineering, 29 papers in Polymers and Plastics and 20 papers in Artificial Intelligence. Recurrent topics in Hajime Kimura's work include Synthesis and properties of polymers (28 papers), Epoxy Resin Curing Processes (28 papers) and Reinforcement Learning in Robotics (17 papers). Hajime Kimura is often cited by papers focused on Synthesis and properties of polymers (28 papers), Epoxy Resin Curing Processes (28 papers) and Reinforcement Learning in Robotics (17 papers). Hajime Kimura collaborates with scholars based in Japan, United States and Germany. Hajime Kimura's co-authors include Akihiro Matsumoto, Keiko Ohtsuka, Shigenobu Kobayashi, Kiichi Hasegawa, Akinori Fukuda, T. Yamashita, S. Kobayashi, Akikazu Matsumoto, Ken Hirota and Hiroyasu Kido and has published in prestigious journals such as Physics Letters A, Journal of Applied Polymer Science and Journal of Physics and Chemistry of Solids.

In The Last Decade

Hajime Kimura

78 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hajime Kimura Japan 21 658 631 230 226 187 89 1.4k
S. Hackwood United States 18 300 0.5× 140 0.2× 136 0.6× 31 0.1× 325 1.7× 51 1.2k
Weiping Xie China 18 115 0.2× 132 0.2× 299 1.3× 290 1.3× 174 0.9× 98 1.4k
Ming Yang China 22 186 0.3× 173 0.3× 444 1.9× 29 0.1× 156 0.8× 122 1.6k
An Chen China 22 142 0.2× 184 0.3× 758 3.3× 104 0.5× 317 1.7× 80 2.4k
Seung‐Joon Lee South Korea 19 314 0.5× 324 0.5× 437 1.9× 26 0.1× 296 1.6× 72 1.6k
Hung‐Yi Lin Taiwan 20 64 0.1× 484 0.8× 482 2.1× 44 0.2× 298 1.6× 88 1.7k
Hongjia Li China 17 166 0.3× 54 0.1× 312 1.4× 134 0.6× 30 0.2× 116 1.2k
M. Hiller Germany 20 159 0.2× 149 0.2× 228 1.0× 28 0.1× 348 1.9× 73 1.3k
Yubo Zhang China 18 88 0.1× 234 0.4× 1.4k 5.9× 116 0.5× 250 1.3× 86 2.3k

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-authorship network of co-authors of Hajime Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Kimura. A scholar is included among the top collaborators of Hajime Kimura 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 Hajime Kimura. Hajime Kimura 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.
Kimura, Hajime, et al.. (2024). Performance enhancement of phenolic resin by glycol‐modified lignin. Polymers for Advanced Technologies. 35(6). 3 indexed citations
2.
Ohtsuka, Keiko, et al.. (2015). Novel bismaleimide/diallylbisphenol A resin modified with multifunctional thiol containing isocyanuric ring and long-chain aliphatic unit. High Performance Polymers. 28(5). 591–599. 12 indexed citations
3.
Kimura, Hajime, et al.. (2012). An Automatic Piping Algorithm including Elbows and Bends. Journal of the Japan Society of Naval Architects and Ocean Engineers. 15(0). 219–226. 10 indexed citations
4.
Kimura, Hajime. (2011). Automatic Designing System for Piping and Instruments Arrangement including Branches of Pipes : Multi-objective Optimization of Piping Material Costs and Valve Operability. Journal of the Society of Naval Architects of Japan. 165–173. 2 indexed citations
5.
Kimura, Hajime, et al.. (2011). Planning for Delivering Steel Plates in a Stockyard Using Hierarchical Reinforcement Learning. Journal of the Japan Society of Naval Architects and Ocean Engineers. 13. 165–173. 2 indexed citations
6.
Kimura, Hajime. (2011). Automatic Designing System for Piping and Instruments Arrangement including Branches of Pipes: Multi-objective Optimization of Piping. Journal of the Japan Society of Naval Architects and Ocean Engineers. 14. 165–173. 2 indexed citations
7.
Kimura, Hajime, et al.. (2009). Unified motion planning method using random network and gradient method for multifunctional underwater robots. 2009 ICCAS-SICE. 3880–3885. 5 indexed citations
8.
Kimura, Hajime, et al.. (2009). Automatic Design Algorithm for Pipe Arrangement considering valve operationality. Journal of the Japan Society of Naval Architects and Ocean Engineers. 9(0). 231–236. 2 indexed citations
9.
Kimura, Hajime, et al.. (2009). Automatic Design Algorithm for Pipe Arrangement based on Equipment Arrangement Figure and Pipe Diagram. Journal of the Japan Society of Naval Architects and Ocean Engineers. 9(0). 223–229. 1 indexed citations
10.
Kimura, Hajime. (2006). Reinforcement Learning in Multi-dimensional State-action Space Using Random Tiling and Gibbs Sampling. Transactions of the Society of Instrument and Control Engineers. 42(12). 1336–1343. 4 indexed citations
11.
Kimura, Hajime, et al.. (2005). Automatic Design for Pipe Arrangement using Multi-objective Genetic Algorithms. Journal of the Japan Society of Naval Architects and Ocean Engineers. 2(0). 155–160. 9 indexed citations
12.
Aoki, K. Roger, et al.. (2003). Adaptive Control of Sewerage Systems using Distributed Reinforcement Learning. IEEJ Transactions on Industry Applications. 123(4). 462–469. 1 indexed citations
13.
Kimura, Hajime & Shigenobu Kobayashi. (2001). An Actor-Critic Algorithm Using a Binary Tree Action Selector. Transactions of the Society of Instrument and Control Engineers. 37(12). 1147–1155. 1 indexed citations
14.
Kimura, Hajime & Shigenobu Kobayashi. (2000). An Analysis of Actor-Critic Algorithms Using Eligibility Traces : Reinforcement Learning with Imperfect Value Functions. 15(2). 267–275. 25 indexed citations
15.
Ohtsuka, Keiko, Kiichi Hasegawa, Akihiro Matsumoto, et al.. (2000). Polymer Materials. Photopolymerization of Vinylester Resin Having Hydroxymethyl Group.. Journal of the Society of Materials Science Japan. 49(12). 1282–1285. 3 indexed citations
16.
Kimura, Hajime & Shigenobu Kobayashi. (1999). Efficient Non-Linear Control by Combining Q-learning with Local Linear Controllers. Tokyo Tech Research Repository (Tokyo Institute of Technology). 210–219. 17 indexed citations
17.
Kimura, Hajime & Shigenobu Kobayashi. (1999). Reinforcement Learning for Crawling Robot Motion Using Stochastic Gradient Ascent. 14(1). 122–130.
18.
Kimura, Hajime & Shigenobu Kobayashi. (1998). An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function. Tokyo Tech Research Repository (Tokyo Institute of Technology). 278–286. 69 indexed citations
19.
Kimura, Hajime, Kazuteru Miyazaki, & Shigenobu Kobayashi. (1997). Reinforcement Learning for Crawling on a Robot Arm. 9. 97–102. 1 indexed citations
20.
Kimura, Hajime, Kazuteru Miyazaki, & Shigenobu Kobayashi. (1997). Reinforcement Learning in POMDPs with Function Approximation. International Conference on Machine Learning. 152–160. 45 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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