Ken-ichi Funahashi
- Artificial Intelligence top 0.5%
- Control and Systems Engineering top 0.5%
- Electrical and Electronic Engineering top 10%
- Statistical and Nonlinear Physics top 2%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Yuichi NakamuraNaohiro TodaS. Usui
- Topics
- Neural Networks and Applications (7 papers)Model Reduction and Neural Networks (4 papers)Control Systems and Identification (2 papers)
- Journals
- Neural NetworksNagoya Mathematical JournalProceedings of the Japan Academy Series A Mathematical Sciences
- Partner nations
- JapanUnited States
In The Last Decade
Ken-ichi Funahashi
10 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Artificial Intelligence 2.1k
- Control and Systems Engineering 1.2k
- Electrical and Electronic Engineering 426
- Statistical and Nonlinear Physics 393
- Computer Vision and Pattern Recognition 358
Countries citing papers authored by Ken-ichi Funahashi
This map shows the geographic impact of Ken-ichi Funahashi'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 Ken-ichi Funahashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken-ichi Funahashi more than expected).
Fields of papers citing papers by Ken-ichi Funahashi
This network shows the impact of papers produced by Ken-ichi Funahashi. 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 Ken-ichi Funahashi. The network helps show where Ken-ichi Funahashi may publish in the future.
Co-authorship network of co-authors of Ken-ichi Funahashi
This figure shows the co-authorship network connecting the top 25 collaborators of Ken-ichi Funahashi. A scholar is included among the top collaborators of Ken-ichi Funahashi 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 Ken-ichi Funahashi. Ken-ichi Funahashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 2 | |
| 3 | Approximation of dynamical systems by continuous time recurrent neural networksbreakdown → | 631 |
| 4 | Neural Networks, Approximation Theory, and Dynamical Systems(Structure and Bifurcation of Dynamical Systems) | 1 |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 24 | |
| 8 | On the approximate realization of continuous mappings by neural networksbreakdown → | 2940 |
| 9 | 7 | |
| 10 | 3 |
About Ken-ichi Funahashi
Ken-ichi Funahashi is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Geometry and Topology, having authored 10 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Model Reduction and Neural Networks (4 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Control and Systems Engineering (1.2k citations) and Statistical and Nonlinear Physics (393 citations). Ken-ichi Funahashi has collaborated with scholars based in Japan and United States. Frequent co-authors include Yuichi Nakamura, Naohiro Toda and S. Usui. Their work appears in journals such as Neural Networks, Nagoya Mathematical Journal and Proceedings of the Japan Academy Series A Mathematical 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.