Tetsuya Fujie
- Computational Theory and Mathematics top 5%
- Numerical Analysis top 5%
- Industrial and Manufacturing Engineering top 10%
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Co-authors
- Masakazu KojimaYasutoshi YajimaMakoto YoshimotoYuji ShinanoTomomi MatsuiAkihisa TamuraTobias Achterberg
- Topics
- Optimization and Search Problems (5 papers)Advanced Optimization Algorithms Research (5 papers)Scheduling and Optimization Algorithms (4 papers)
In The Last Decade
Tetsuya Fujie
17 papers receiving 237 citations
Peers
Comparison fields: 5 of 55
- Computational Theory and Mathematics 133
- Numerical Analysis 93
- Industrial and Manufacturing Engineering 58
- Computer Networks and Communications 51
- Electrical and Electronic Engineering 48
Countries citing papers authored by Tetsuya Fujie
This map shows the geographic impact of Tetsuya Fujie'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 Tetsuya Fujie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Fujie more than expected).
Fields of papers citing papers by Tetsuya Fujie
This network shows the impact of papers produced by Tetsuya Fujie. 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 Tetsuya Fujie. The network helps show where Tetsuya Fujie may publish in the future.
Co-authorship network of co-authors of Tetsuya Fujie
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Fujie. A scholar is included among the top collaborators of Tetsuya Fujie 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 Tetsuya Fujie. Tetsuya Fujie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 7 | |
| 3 | 15 | |
| 4 | DESIGN METHODS OF FIR FILTERS WITH SIGNED POWER OF TWO COEFFICIENTS USING A NEW LINEAR PROGRAMMING RELAXATION WITH TRIANGLE INEQUALITIES | 4 |
| 5 | An Improved Branch-and-Bound Algorithm for a Two-machine Flowshop Problem with Minimum Makespan | 1 |
| 6 | 3 | |
| 7 | 24 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | Branch-and Cut Algorithm for Mixed Integer Programming | 1 |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 49 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 31 | |
| 17 | 83 |
About Tetsuya Fujie
Tetsuya Fujie is a scholar working on Numerical Analysis, Industrial and Manufacturing Engineering and Computational Theory and Mathematics, having authored 17 papers that have together received 257 indexed citations. Recurring topics across this work include Optimization and Search Problems (5 papers), Advanced Optimization Algorithms Research (5 papers) and Scheduling and Optimization Algorithms (4 papers). The work is most often cited by research in Numerical Analysis (93 citations), Computational Theory and Mathematics (133 citations) and Industrial and Manufacturing Engineering (58 citations). Tetsuya Fujie has collaborated with scholars based in Japan and Germany. Frequent co-authors include Masakazu Kojima, Yasutoshi Yajima, Makoto Yoshimoto, Yuji Shinano, Tomomi Matsui, Akihisa Tamura and Tobias Achterberg. Their work appears in journals such as Journal of the Operational Research Society, Soft Matter and Computers & Operations Research.
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.