Ikuko Nishikawa
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Cognitive Neuroscience top 10%
- Condensed Matter Physics top 10%
- Molecular Biology
- Co-authors
- Yoshiki KuramotoHideki TakayasuHal TasakiToshio AoyagiKoji OkudaMasahiro ItoSatoshi FukuchiKen Nishikawa
- Topics
- Nonlinear Dynamics and Pattern Formation (8 papers)Machine Learning in Bioinformatics (7 papers)Transportation and Mobility Innovations (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Ikuko Nishikawa
45 papers receiving 733 citations
Peers
Comparison fields: 5 of 100
- Computer Networks and Communications 304
- Statistical and Nonlinear Physics 214
- Cognitive Neuroscience 180
- Condensed Matter Physics 105
- Molecular Biology 102
Countries citing papers authored by Ikuko Nishikawa
This map shows the geographic impact of Ikuko Nishikawa'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 Ikuko Nishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikuko Nishikawa more than expected).
Fields of papers citing papers by Ikuko Nishikawa
This network shows the impact of papers produced by Ikuko Nishikawa. 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 Ikuko Nishikawa. The network helps show where Ikuko Nishikawa may publish in the future.
Co-authorship network of co-authors of Ikuko Nishikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Ikuko Nishikawa. A scholar is included among the top collaborators of Ikuko Nishikawa 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 Ikuko Nishikawa. Ikuko Nishikawa 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 | A comparison of the brain activity between experts and non-experts in a basic drumming using NIRS | 1 |
| 4 | Prediction of the protein O-glycosylation by machine learning and statistical characters around the glycosylation sites | 1 |
| 5 | Simulated annealing method based on recursive problem decomposition for vehicle routing problems | 0 |
| 6 | Multi-agent simulation on relationship between individuals' travel behavior and residential choice behavior | 1 |
| 7 | Decomposition model of vehicle routing problem and hybrid approach mixing branch-and-bound techniques and meta-heuristics | 0 |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 2B2 HIERARCHICAL APPROACH WITH INFORMATIONAL FEEDBACK FOR PICKUP AND DELIVERY PROBLEMS(Technical session 2B: Vehicle scheduling and communication) | 2 |
| 11 | 11 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | Line Balancing Using a Hopfield Network | 2 |
| 17 | 43 | |
| 18 | 9 | |
| 19 | 16 | |
| 20 | 289 |
About Ikuko Nishikawa
Ikuko Nishikawa is a scholar working on Industrial and Manufacturing Engineering, Architecture and Automotive Engineering, having authored 51 papers that have together received 779 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (8 papers), Machine Learning in Bioinformatics (7 papers) and Transportation and Mobility Innovations (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (214 citations), Computer Networks and Communications (304 citations) and Cognitive Neuroscience (180 citations). Ikuko Nishikawa has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshiki Kuramoto, Hideki Takayasu, Hal Tasaki, Toshio Aoyagi, Koji Okuda, Masahiro Ito, Satoshi Fukuchi, Ken Nishikawa, Yukiko Nakajima and Keiichi Homma. Their work appears in journals such as Brain Research, International Journal of Molecular Sciences and Journal of Statistical Physics.
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.