Hitoshi Iba

3.1k citations
121 papers · 1.4k · h-index 24

Impact in

Papers in

    • Evolutionary Algorithms and Applications 71
    • Metaheuristic Optimization Algorithms Research 48
    • Reinforcement Learning in Robotics 16
    • Neural Networks and Applications 9
    • Gene expression and cancer classification 18
    • Gene Regulatory Network Analysis 18

Hitoshi Iba

112 papers receiving 1.3k citations

Peers

Hitoshi Iba
Comparison fields: 5 of 119
  • Artificial Intelligence 885
  • Management Science and Operations Research 134
  • Computational Theory and Mathematics 170
  • Molecular Biology 418
  • Computer Vision and Pattern Recognition 116
Replace Hitoshi Iba with:
Hitoshi Iba Japan
Junkai Ji China
Nicholas Freitag McPhee United States
Jialei Wang United States
Thomas B�ck Netherlands
Anne Auger France
Peter J. Angeline United States
Cédric Archambeau United Kingdom
Andrea G. B. Tettamanzi Italy
Hitoshi Iba relative to Hitoshi Iba Japan Hitoshi Iba's profile →
Citations per field
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Hitoshi Iba · 1×
Citations per year

Countries citing papers authored by Hitoshi Iba

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Iba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genetic Programming 1997: Proceedings of the Second Annual Conference
199764
2 199563
3
Bagging, Boosting, and bloating in Genetic Programming
199955
4 200254
5 200152
6 200348
7 200447
8 200345
9 200944
10 200244
11 200943
12
Selecting informative genes with parallel genetic algorithms in tissue classification.
200142
13 200236
14 200935
15 200535
16 200834
17 200232
18
Construction of genetic network using evolutionary algorithm and combined fitness function.
200328
19 200928
20 200526

About Hitoshi Iba

Hitoshi Iba is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Control and Systems Engineering and Computational Theory and Mathematics, having authored 121 papers that have together received 1.4k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (71 papers), Metaheuristic Optimization Algorithms Research (48 papers), Gene expression and cancer classification (18 papers), Gene Regulatory Network Analysis (18 papers), Reinforcement Learning in Robotics (16 papers), Neural Networks and Applications (9 papers), Robotic Path Planning Algorithms (9 papers) and Modular Robots and Swarm Intelligence (7 papers). The work is most often cited by research in Artificial Intelligence (885 citations), Management Science and Operations Research (134 citations), Computational Theory and Mathematics (170 citations), Molecular Biology (418 citations) and Computer Vision and Pattern Recognition (116 citations). Hitoshi Iba has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Topon Kumar Paul, Shin Ando, Yoshihiko Hasegawa, Nikolay Nikolaev, Claus Aranha, Taisuke Sato, Kazuhiko Yanai, Juan Liu, Mitsuru Ishizuka and Yutaka Inoue. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Information Sciences, Biosystems, Proceedings Genome Informatics Workshop/Genome informatics and Genetic Programming and Evolvable Machines.

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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