Koichi Niijima
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Numerical Analysis top 10%
- Computational Theory and Mathematics top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Shigeru TakanoYoshihiro OkadaY. OkadaMuhammad HussainYoshio TanakaKatsunori MiyaharaNaoto NakamuraNobuhiro Ohta
- Topics
- Image and Signal Denoising Methods (15 papers)Computer Graphics and Visualization Techniques (12 papers)3D Shape Modeling and Analysis (10 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignNumerical AnalysisComputer Vision and Pattern Recognition
- Partner nations
- JapanSaudi ArabiaChina
In The Last Decade
Koichi Niijima
55 papers receiving 287 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 150
- Computational Mechanics 89
- Numerical Analysis 74
- Computational Theory and Mathematics 51
- Computer Graphics and Computer-Aided Design 51
Countries citing papers authored by Koichi Niijima
This map shows the geographic impact of Koichi Niijima'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 Koichi Niijima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Niijima more than expected).
Fields of papers citing papers by Koichi Niijima
This network shows the impact of papers produced by Koichi Niijima. 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 Koichi Niijima. The network helps show where Koichi Niijima may publish in the future.
Co-authorship network of co-authors of Koichi Niijima
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Niijima. A scholar is included among the top collaborators of Koichi Niijima 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 Koichi Niijima. Koichi Niijima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Robust person authentication using dyadic wavelet filters learned by cosine-maximization | 0 |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | Personal identification by multiresolution analysis of lifting dyadic wavelets | 1 |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | Extraction of Subimages by Lifting Wavelet Filters | 2 |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 0 | |
| 20 | 3 |
About Koichi Niijima
Koichi Niijima is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 61 papers that have together received 309 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (15 papers), Computer Graphics and Visualization Techniques (12 papers) and 3D Shape Modeling and Analysis (10 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (51 citations), Numerical Analysis (74 citations) and Computer Vision and Pattern Recognition (150 citations). Koichi Niijima has collaborated with scholars based in Japan, Saudi Arabia and China. Frequent co-authors include Shigeru Takano, Yoshihiro Okada, Y. Okada, Muhammad Hussain, Yoshio Tanaka, Katsunori Miyahara, Naoto Nakamura and Nobuhiro Ohta. Their work appears in journals such as IEEE Transactions on Signal Processing, Mathematics of Computation and Neural Networks.
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.