Koji Igarashi

92 papers receiving 1.7k citations

Hit Papers

A coherent Ising machine for 2000-node optimization problems20162026201920222016100200300400

Peers

Koji Igarashi
Comparison fields: 5 of 46
  • Electrical and Electronic Engineering 1.5k
  • Artificial Intelligence 441
  • Atomic and Molecular Physics, and Optics 387
  • Computer Networks and Communications 75
  • Computational Theory and Mathematics 63
Replace Takeshi Umeki with:
Takeshi Umeki Japan
Koji Enbutsu Japan
Hirokazu Takenouchi Japan
Tobias A. Eriksson Sweden
June‐Koo Kevin Rhee South Korea
Ryoichi Kasahara Japan
Shuhei Tamate Japan
Yoshitaka Haribara Japan
Armando N. Pinto Portugal
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Koji Igarashi relative to Takeshi Umeki Japan Takeshi Umeki's profile →
Citations per field
00.5×1.5×2.1×
Takeshi Umeki · 1×
Citations per year

Countries citing papers authored by Koji Igarashi

Since Specialization
Citations

This map shows the geographic impact of Koji Igarashi'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 Koji Igarashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Igarashi more than expected).

Fields of papers citing papers by Koji Igarashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koji Igarashi. 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 Koji Igarashi. The network helps show where Koji Igarashi may publish in the future.

Co-authorship network of co-authors of Koji Igarashi

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Igarashi. A scholar is included among the top collaborators of Koji Igarashi 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 Koji Igarashi. Koji Igarashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 3
4 0
5 13
6 33
7 12
8 1
9 22
10 95
11 89
12
Ultra-high-capacity transmission over few-mode multi-core fibers
1
13
A coherent Ising machine for 2000-node optimization problemsbreakdown →
495
14 39
15 44
16 2
17 26
18
5 - 500 MHz repetition-programmable low pedestal femtosecond pulse source using comb-like profiled fiber
0
19
Wavelength conversion characteristics of highly efficient fiber optic four-wave mixer for 160 GHz picosecond pulse train
2
20 1

About Koji Igarashi

Koji Igarashi is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 112 papers that have together received 1.9k indexed citations. Recurring topics across this work include Optical Network Technologies (92 papers), Advanced Photonic Communication Systems (62 papers) and Photonic and Optical Devices (27 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.5k citations), Artificial Intelligence (441 citations) and Atomic and Molecular Physics, and Optics (387 citations). Koji Igarashi has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Takehiro Tsuritani, Itsuro Morita, Daiki Soma, Yuta Wakayama, Masatoshi Suzuki, Koki Takeshima, Shohei Beppu, Kyo Inoue, Hidenori Takahashi and Takeshi Umeki. Their work appears in journals such as Science, Proceedings of the IEEE and Optics Express.

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.

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