Hitoshi Iba

4.1k total citations · 2 hit papers
81 papers, 2.6k citations indexed

About

Hitoshi Iba is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hitoshi Iba has authored 81 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 27 papers in Molecular Biology and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hitoshi Iba's work include Evolutionary Algorithms and Applications (47 papers), Gene Regulatory Network Analysis (24 papers) and Metaheuristic Optimization Algorithms Research (24 papers). Hitoshi Iba is often cited by papers focused on Evolutionary Algorithms and Applications (47 papers), Gene Regulatory Network Analysis (24 papers) and Metaheuristic Optimization Algorithms Research (24 papers). Hitoshi Iba collaborates with scholars based in Japan, Bangladesh and Australia. Hitoshi Iba's co-authors include Nasimul Noman, Topon Kumar Paul, Leon Palafox, M. Shahjahan Kabir, Hideyuki Takagi, Danushka Bollegala, Bernard Manderick, Claus Aranha, Juan Liu and Max Garzón and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Information Sciences.

In The Last Decade

Hitoshi Iba

72 papers receiving 2.4k citations

Hit Papers

Accelerating Differential Evolution Using an Adaptive Loc... 2008 2026 2014 2020 2008 2008 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Accelerating Differential Evolution Using an Adaptive Local Search
    2008 487 citations Nasimul Noman, Hitoshi Iba profile →
  2. Differential evolution for economic load dispatch problems
    2008 399 citations Nasimul Noman, Hitoshi Iba profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hitoshi Iba Japan 21 1.5k 678 578 533 292 81 2.6k
Nasimul Noman Japan 17 873 0.6× 460 0.7× 445 0.8× 465 0.9× 162 0.6× 63 1.9k
Peter J. Angeline United States 16 1.6k 1.1× 360 0.5× 180 0.3× 219 0.4× 356 1.2× 46 2.2k
Moshe Sipper Israel 26 1.5k 1.0× 952 1.4× 758 1.3× 222 0.4× 72 0.2× 143 2.6k
Heitor Silvério Lopes Brazil 21 1.6k 1.1× 361 0.5× 348 0.6× 183 0.3× 174 0.6× 148 2.5k
Terence C. Fogarty United Kingdom 21 1.3k 0.9× 486 0.7× 148 0.3× 141 0.3× 174 0.6× 89 2.0k
L. Darrell Whitley United States 27 1.9k 1.3× 867 1.3× 160 0.3× 194 0.4× 188 0.6× 71 3.1k
Martin A. Keane United States 16 1.0k 0.7× 231 0.3× 338 0.6× 302 0.6× 143 0.5× 47 1.4k
Jonathan E. Rowe United Kingdom 18 756 0.5× 370 0.5× 235 0.4× 127 0.2× 95 0.3× 81 1.5k
Ingo Rechenberg Germany 8 814 0.6× 455 0.7× 120 0.2× 153 0.3× 117 0.4× 14 1.8k
Borko Boškovič Slovenia 20 3.0k 2.0× 2.1k 3.1× 93 0.2× 410 0.8× 394 1.3× 49 3.9k

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-authorship network of co-authors of Hitoshi Iba

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Iba. A scholar is included among the top collaborators of Hitoshi Iba 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 Iba. Hitoshi Iba 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.
Cabral, Ana I. R., et al.. (2024). Complexity, interpretability and robustness of GP-based feature engineering in remote sensing. Swarm and Evolutionary Computation. 92. 101761–101761.
2.
Iba, Hitoshi, et al.. (2024). Lamarckian Co-design of Soft Robots via Transfer Learning. Proceedings of the Genetic and Evolutionary Computation Conference. 832–840. 2 indexed citations
3.
4.
Iba, Hitoshi, et al.. (2018). Musical Composition by Interactive Evolutionary Computation and Latent Space Modeling. 2792–2797. 4 indexed citations
5.
Iba, Hitoshi & Nasimul Noman. (2016). Evolutionary Computation in Gene Regulatory Network Research. 5 indexed citations
6.
Noman, Nasimul, et al.. (2015). Evolving Robust Gene Regulatory Networks. PLoS ONE. 10(1). e0116258–e0116258. 25 indexed citations
7.
Iba, Hitoshi, et al.. (2014). Constrained Group Counseling Optimization. 631–638.
8.
Iba, Hitoshi, et al.. (2014). Constrained Group Counseling Optimization. 631–638. 1 indexed citations
9.
Iba, Hitoshi & Claus Aranha. (2012). Practical Applications of Evolutionary Computation to Financial Engineering: Robust Techniques for Forecasting, Trading and Hedging. CERN Document Server (European Organization for Nuclear Research). 5 indexed citations
10.
Kabir, M. Shahjahan, Nasimul Noman, & Hitoshi Iba. (2010). Reverse engineering gene regulatory network from microarray data using linear time-variant model. BMC Bioinformatics. 11(S1). S56–S56. 58 indexed citations
11.
Noman, Nasimul & Hitoshi Iba. (2007). Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4(4). 634–647. 95 indexed citations
12.
Dahlstedt, Palle, et al.. (2006). Computer Aided Composition by Means of Interactive GP. The Journal of the Abraham Lincoln Association. 2006. 254–257. 5 indexed citations
13.
Dahlstedt, Palle, et al.. (2005). Computer Aided Composition for Comtemporary Classical Music by means of Interactive GP. 4(2). 77–86. 8 indexed citations
14.
Iba, Hitoshi, et al.. (2003). Researches on ingeniously behaving agents. 208–217. 3 indexed citations
15.
Ando, Shin & Hitoshi Iba. (2002). Ant algorithm for construction of evlutionary tree. Genetic and Evolutionary Computation Conference. 131–131. 7 indexed citations
16.
Iba, Hitoshi, et al.. (2001). Evolutionary Inference of a Biological Network as Differential Equations by Genetic Programming. Proceedings Genome Informatics Workshop/Genome informatics. 12(12). 276–277. 7 indexed citations
17.
Iba, Hitoshi, et al.. (2000). Identifying Gene Regulatory Network as Differential Equation by Genetic Programming. Proceedings Genome Informatics Workshop/Genome informatics. 11. 281–283. 11 indexed citations
18.
Iba, Hitoshi, et al.. (2000). Genetic algorithm for quantum circuit design. 100(89). 9–16. 3 indexed citations
19.
Iba, Hitoshi. (1998). Evolutionary learning of communicating agents. Information Sciences. 108(1-4). 181–205. 22 indexed citations
20.
Iba, Hitoshi, Taisuke Sato, & Hugo de Garis. (1995). Temporal Data Processing Using Genetic Programming. international conference on Genetic algorithms. 279–286. 8 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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