Toshimori Honjo

4.7k citations
76 papers · 2.4k indexed · 3 hit papers · h-index 23
Topics
Quantum Information and Cryptography (62 papers)Quantum optics and atomic interactions (38 papers)Quantum Computing Algorithms and Architecture (27 papers)

In The Last Decade

Toshimori Honjo

72 papers receiving 2.3k citations

Hit Papers

Quantum key distribution over a 40-dB channel loss using ...2007202620132019200720162021100200300400500

Peers

Toshimori Honjo
Comparison fields: 5 of 62
  • Artificial Intelligence 1.9k
  • Atomic and Molecular Physics, and Optics 1.3k
  • Electrical and Electronic Engineering 789
  • Instrumentation 194
  • Computational Theory and Mathematics 131
Replace Mikio Fujiwara with:
Mikio Fujiwara Japan
Jungsang Kim United States
Kiyoshi Tamaki Japan
Kyo Inoue Japan
Hiroki Takesue Japan
Eleni Diamanti France
Cheng-Zhi Peng China
Carsten Langrock United States
Momtchil Peev Austria
Johannes Skaar Norway
Toshimori Honjo relative to Mikio Fujiwara Japan Mikio Fujiwara's profile →
Citations per field
00.5×2.7×
Mikio Fujiwara · 1×
Citations per year

Countries citing papers authored by Toshimori Honjo

Since Specialization
Citations

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

Fields of papers citing papers by Toshimori Honjo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshimori Honjo

This figure shows the co-authorship network connecting the top 25 collaborators of Toshimori Honjo. A scholar is included among the top collaborators of Toshimori Honjo 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 Toshimori Honjo. Toshimori Honjo 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 2
2 2
3 7
4 2
5 7
6 13
7 4
8 24
9 2
10 2
11 5
12
A coherent Ising machine for 2000-node optimization problemsbreakdown →
495
13 5
14 49
15 1
16
Entanglement-based BBM92 QKD experiment using superconducting single photon detectors
2
17 22
18 3
19 6
20 3

About Toshimori Honjo

Toshimori Honjo is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Instrumentation, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (62 papers), Quantum optics and atomic interactions (38 papers) and Quantum Computing Algorithms and Architecture (27 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Instrumentation (194 citations) and Atomic and Molecular Physics, and Optics (1.3k citations). Toshimori Honjo has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroki Takesue, Kyo Inoue, Y. Yamamoto, Kiyoshi Tamaki, Robert H. Hadfield, Sae Woo Nam, Qiang Zhang, Takahiro Inagaki, Takeshi Umeki and Koji Enbutsu. Their work appears in journals such as Science, Nature Communications and Applied Physics Letters.

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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