Takumi Ichimura
- Artificial Intelligence top 10%
- Civil and Structural Engineering top 10%
- Geophysics top 10%
- Computer Vision and Pattern Recognition
- Ocean Engineering top 10%
- Co-authors
- Muneo HoriKeiichi TamuraAkira HaraJacobo BielakTetsuyuki TakahamaKatsumi YoshidaS. TanakaToshiyuki Yamashita
- Topics
- Neural Networks and Applications (21 papers)Metaheuristic Optimization Algorithms Research (12 papers)Fuzzy Logic and Control Systems (10 papers)
- Journals
- International Journal of Hydrogen EnergyJournal of the Mechanics and Physics of SolidsGeophysical Journal International
- Partner nations
- JapanUnited States
In The Last Decade
Takumi Ichimura
94 papers receiving 462 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 172
- Civil and Structural Engineering 91
- Geophysics 78
- Computer Vision and Pattern Recognition 56
- Ocean Engineering 49
Countries citing papers authored by Takumi Ichimura
This map shows the geographic impact of Takumi Ichimura'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 Takumi Ichimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takumi Ichimura more than expected).
Fields of papers citing papers by Takumi Ichimura
This network shows the impact of papers produced by Takumi Ichimura. 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 Takumi Ichimura. The network helps show where Takumi Ichimura may publish in the future.
Co-authorship network of co-authors of Takumi Ichimura
This figure shows the co-authorship network connecting the top 25 collaborators of Takumi Ichimura. A scholar is included among the top collaborators of Takumi Ichimura 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 Takumi Ichimura. Takumi Ichimura 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 | 7 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | Construction of Consistent Mass Spring Model Based on Meta-Modeling Theory for Seismic Response Analysis of Large Scale Bridge Structures | 1 |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | Advantages and Disadvantages of Neural Networks for Predicting Clinical Outcomes. | 2 |
| 18 | 5 | |
| 19 | 1 | |
| 20 | Hybrid Parallel Genetic Algorithm and Learning of Neural Networks | 1 |
About Takumi Ichimura
Takumi Ichimura is a scholar working on Artificial Intelligence, Health Information Management and Energy Engineering and Power Technology, having authored 101 papers that have together received 496 indexed citations. Recurring topics across this work include Neural Networks and Applications (21 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Fuzzy Logic and Control Systems (10 papers). The work is most often cited by research in Geophysics (78 citations), Artificial Intelligence (172 citations) and Transportation (32 citations). Takumi Ichimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Muneo Hori, Keiichi Tamura, Akira Hara, Jacobo Bielak, Tetsuyuki Takahama, Katsumi Yoshida, S. Tanaka, Toshiyuki Yamashita, Takashi Yamaguchi and Toshihide Harada. Their work appears in journals such as International Journal of Hydrogen Energy, Journal of the Mechanics and Physics of Solids and Geophysical Journal International.
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.