Hitoshi Iima

597 total citations
77 papers, 349 citations indexed

About

Hitoshi Iima is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hitoshi Iima has authored 77 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Industrial and Manufacturing Engineering, 31 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Hitoshi Iima's work include Scheduling and Optimization Algorithms (36 papers), Advanced Manufacturing and Logistics Optimization (31 papers) and Metaheuristic Optimization Algorithms Research (18 papers). Hitoshi Iima is often cited by papers focused on Scheduling and Optimization Algorithms (36 papers), Advanced Manufacturing and Logistics Optimization (31 papers) and Metaheuristic Optimization Algorithms Research (18 papers). Hitoshi Iima collaborates with scholars based in Japan, United States and United Kingdom. Hitoshi Iima's co-authors include Yasuaki Kuroe, Nobuo Sannomiya, Guoyong Shi, Yoshiyuki Karuno, Katsuki Ito, Yasunori Kobayashi, Takahiro Watanabe, Atsushi Aoki, Hiroki Nakajima and Eiji Kakō and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and Finance research letters.

In The Last Decade

Hitoshi Iima

67 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hitoshi Iima Japan 11 150 133 71 46 33 77 349
Arit Thammano Thailand 11 157 1.0× 155 1.2× 55 0.8× 81 1.8× 51 1.5× 59 392
Zhixing Huang China 10 129 0.9× 40 0.3× 58 0.8× 27 0.6× 26 0.8× 44 274
Shuo Qin China 10 114 0.8× 130 1.0× 98 1.4× 24 0.5× 27 0.8× 16 328
Guangzhou Zeng China 7 110 0.7× 72 0.5× 42 0.6× 32 0.7× 25 0.8× 42 254
Kuihua Huang China 9 120 0.8× 61 0.5× 25 0.4× 51 1.1× 23 0.7× 41 258
Kazi Shah Nawaz Ripon Norway 11 143 1.0× 149 1.1× 15 0.2× 38 0.8× 47 1.4× 28 383
Dorabela Gamboa Portugal 7 108 0.7× 157 1.2× 30 0.4× 36 0.8× 11 0.3× 10 253
Chiranjit Changdar India 9 115 0.8× 111 0.8× 30 0.4× 39 0.8× 43 1.3× 23 272
María-Cristina Riff Chile 9 132 0.9× 123 0.9× 26 0.4× 21 0.5× 15 0.5× 36 289
Elizabeth Montero Chile 9 174 1.2× 99 0.7× 26 0.4× 21 0.5× 20 0.6× 48 331

Countries citing papers authored by Hitoshi Iima

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Iima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Iima

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Iima. A scholar is included among the top collaborators of Hitoshi Iima 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 Hitoshi Iima. Hitoshi Iima 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.
2.
Kuroe, Yasuaki, et al.. (2013). Swarm Reinforcement Learning Method for Multi-agent Tasks. Transactions of the Society of Instrument and Control Engineers. 49(3). 370–377. 1 indexed citations
3.
Iima, Hitoshi, et al.. (2012). A Method for Determining Classroom Seating Arrangements by Using a Genetic Algorithm. International Conference on Computers in Education. 1 indexed citations
4.
Kuroe, Yasuaki, et al.. (2011). Swarm reinforcement learning method for multi-agent tasks — Solution of dilemma problems. Society of Instrument and Control Engineers of Japan. 905–910. 3 indexed citations
5.
Iima, Hitoshi & Yasuaki Kuroe. (2008). Particle Swarm Optimization with Enhanced Autonomous Search Ability of Each Particle. Transactions of the Society of Instrument and Control Engineers. 44(1). 61–70. 2 indexed citations
6.
Iima, Hitoshi & Yasuaki Kuroe. (2006). Swarm Reinforcement Learning Algorithm Based on Exchanging Information among Agents. Transactions of the Society of Instrument and Control Engineers. 42(11). 1244–1251. 6 indexed citations
7.
Iima, Hitoshi, et al.. (2005). Proposition of Genetic Algorithm for Bin Packing Problems. Transactions of the Society of Instrument and Control Engineers. 41(3). 274–282. 4 indexed citations
8.
Iima, Hitoshi & Nobuo Sannomiya. (2003). Proposition of a New Neighborhood in Local Search Method for Job Shop Scheduling Problems. Transactions of the Society of Instrument and Control Engineers. 39(2). 185–191. 1 indexed citations
9.
Iima, Hitoshi, et al.. (2000). Practicability of Autonomous Decentralized Scheduling Method for a Metal Mold Assembly Process. IEICE Transactions on Communications. 83(5). 1060–1066.
10.
Iima, Hitoshi, et al.. (1999). Genetic Algorithm Approach to a Scheduling Problem for a Metal Mold Assembly Process. Transactions of the Institute of Systems Control and Information Engineers. 12(1). 27–35. 1 indexed citations
11.
Iima, Hitoshi & Nobuo Sannomiya. (1999). Genetic algorithm for a scheduling problem in an electric wire production system with three subprocesses. IFAC Proceedings Volumes. 32(2). 279–284. 1 indexed citations
12.
Iima, Hitoshi, et al.. (1998). Genetic Algorithm Approach to a Scheduling Problem in an Electric Wire Processing Process. Transactions of the Institute of Systems Control and Information Engineers. 11(8). 441–448. 1 indexed citations
13.
Iima, Hitoshi, et al.. (1997). Autonomous Decentralized Scheduling System for an Operation Assignment Problem. Transactions of the Institute of Systems Control and Information Engineers. 10(3). 107–115. 5 indexed citations
14.
Iima, Hitoshi, et al.. (1997). Encoding Methods of Genetic Algorithm for an Optimal Production Ordering Problem in an Acid Rinsing Process of Steelmaking Plant. Transactions of the Institute of Systems Control and Information Engineers. 10(4). 173–181. 1 indexed citations
15.
Shi, Guoyong, Hitoshi Iima, & Nobuo Sannomiya. (1996). A Method for Constructing Genetic Algorithm in Job Shop Problems. 8. 175–178. 2 indexed citations
16.
Iima, Hitoshi, et al.. (1996). A Method for Constructing Genetic Algorithm in an Operation Assignment Problem. Transactions of the Institute of Systems Control and Information Engineers. 9(1). 24–33. 2 indexed citations
17.
Iima, Hitoshi, et al.. (1996). A Method for Constructing an Autonomous Decentralized Scheduling System in a Parallel Machine Problem. Transactions of the Institute of Systems Control and Information Engineers. 9(2). 97–99. 2 indexed citations
18.
Iima, Hitoshi & Nobuo Sannomiya. (1995). The Influence of Lethal Gene on the Behavior of Genetic Algorithm. Transactions of the Society of Instrument and Control Engineers. 31(5). 569–576. 4 indexed citations
19.
Iima, Hitoshi, et al.. (1995). A Method of Constructing Genetic Algorithm for a Parallel Oil Supply Problem. Transactions of the Institute of Systems Control and Information Engineers. 8(9). 449–457. 1 indexed citations
20.
Iima, Hitoshi & Nobuo Sannomiya. (1992). Genetic Algorithm Approach to a Production Ordering Problem. Transactions of the Society of Instrument and Control Engineers. 28(11). 1337–1344. 4 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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