Hitoshi Iba
- Artificial Intelligence top 0.5%
- Computational Theory and Mathematics top 0.5%
- Molecular Biology
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Co-authors
- Nasimul NomanTopon Kumar PaulLeon PalafoxM. Shahjahan KabirHideyuki TakagiDanushka BollegalaBernard ManderickClaus Aranha
- Topics
- Evolutionary Algorithms and Applications (47 papers)Gene Regulatory Network Analysis (24 papers)Metaheuristic Optimization Algorithms Research (24 papers)
- Partner nations
- JapanBangladeshAustralia
In The Last Decade
Hitoshi Iba
72 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 1.5k
- Computational Theory and Mathematics 678
- Molecular Biology 578
- Electrical and Electronic Engineering 533
- Control and Systems Engineering 292
Countries citing papers authored by Hitoshi Iba
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | Evolutionary Computation in Gene Regulatory Network Research | 5 |
| 6 | 25 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 58 | |
| 11 | 95 | |
| 12 | Computer Aided Composition by Means of Interactive GP | 5 |
| 13 | 8 | |
| 14 | 3 | |
| 15 | Ant algorithm for construction of evlutionary tree | 7 |
| 16 | 7 | |
| 17 | 11 | |
| 18 | Genetic algorithm for quantum circuit design | 3 |
| 19 | 22 | |
| 20 | Temporal Data Processing Using Genetic Programming | 8 |
About Hitoshi Iba
Hitoshi Iba is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing, having authored 81 papers that have together received 2.6k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (47 papers), Gene Regulatory Network Analysis (24 papers) and Metaheuristic Optimization Algorithms Research (24 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computational Theory and Mathematics (678 citations) and Control and Systems Engineering (292 citations). Hitoshi Iba has collaborated with scholars based in Japan, Bangladesh and Australia. Frequent 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. Their work appears in journals such as PLoS ONE, BMC Bioinformatics and Information Sciences.
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.