Tomohiro Sonobe

2.3k total citations · 2 hit papers
6 papers, 919 citations indexed

About

Tomohiro Sonobe is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Tomohiro Sonobe has authored 6 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 1 paper in Computer Networks and Communications. Recurrent topics in Tomohiro Sonobe's work include Complex Network Analysis Techniques (4 papers), Quantum Computing Algorithms and Architecture (3 papers) and Quantum Information and Cryptography (2 papers). Tomohiro Sonobe is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Quantum Computing Algorithms and Architecture (3 papers) and Quantum Information and Cryptography (2 papers). Tomohiro Sonobe collaborates with scholars based in Japan and United States. Tomohiro Sonobe's co-authors include Ken‐ichi Kawarabayashi, Takeshi Umeki, Takahiro Inagaki, Toshimori Honjo, Koji Enbutsu, Hiroki Takesue, Hirokazu Takenouchi, Shuhei Tamate, Kyo Inoue and Yoshitaka Haribara and has published in prestigious journals such as Science, Science Advances and Physical review. E.

In The Last Decade

Tomohiro Sonobe

6 papers receiving 883 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A coherent Ising machine for 2000-node optimization problems

2016 495 citations Takahiro Inagaki, Yoshitaka Haribara et al. Science profile →
100,000-spin coherent Ising machine

2021 194 citations Toshimori Honjo, Tomohiro Sonobe et al. Science Advances profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tomohiro Sonobe Japan	6	756	294	133	119	96	6	919
Yoshitaka Haribara Japan	4	832 1.1×	423 1.4×	241 1.8×	123 1.0×	104 1.1×	6	1.0k
Shuhei Tamate Japan	12	1.0k 1.4×	446 1.5×	433 3.3×	121 1.0×	103 1.1×	27	1.3k
Koji Enbutsu Japan	15	719 1.0×	740 2.5×	371 2.8×	89 0.7×	81 0.8×	74	1.3k
Shoko Utsunomiya Japan	15	1.2k 1.6×	579 2.0×	930 7.0×	144 1.2×	138 1.4×	26	2.0k
Lev B. Levitin United States	13	444 0.6×	247 0.8×	296 2.2×	177 1.5×	330 3.4×	58	883
Rudy Raymond Japan	15	671 0.9×	78 0.3×	238 1.8×	140 1.2×	60 0.6×	64	849
Rahul Jain Singapore	18	662 0.9×	95 0.3×	273 2.1×	266 2.2×	72 0.8×	104	840
Takuya Okuyama Japan	10	497 0.7×	247 0.8×	41 0.3×	132 1.1×	102 1.1×	16	590
Masanao Yamaoka Japan	24	859 1.1×	1.3k 4.3×	79 0.6×	238 2.0×	204 2.1×	61	1.9k
Toshiyuki Miyazawa Japan	12	509 0.7×	491 1.7×	508 3.8×	112 0.9×	66 0.7×	28	960

Countries citing papers authored by Tomohiro Sonobe

Since Specialization

Citations

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

Fields of papers citing papers by Tomohiro Sonobe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohiro Sonobe

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

All Works

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6 of 6 papers shown

1.

Honjo, Toshimori, Tomohiro Sonobe, Kensuke Inaba, et al.. (2021). 100,000-spin coherent Ising machine. Science Advances. 7(40). eabh0952–eabh0952. 194 indexed citations breakdown →

2.

Okuyama, Takuya, Tomohiro Sonobe, Ken‐ichi Kawarabayashi, & Masanao Yamaoka. (2019). Binary optimization by momentum annealing. Physical review. E. 100(1). 12111–12111. 66 indexed citations

3.

Xu, Keyulu, Chengtao Li, Yonglong Tian, et al.. (2018). Representation Learning on Graphs with Jumping Knowledge Networks. International Conference on Machine Learning. 5453–5462. 131 indexed citations

4.

Miyauchi, Atsushi, et al.. (2018). Exact Clustering via Integer Programming and Maximum Satisfiability. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 7 indexed citations

5.

Ohsaka, Naoto, Tomohiro Sonobe, Sumio Fujita, & Ken‐ichi Kawarabayashi. (2017). Coarsening Massive Influence Networks for Scalable Diffusion Analysis. 635–650. 26 indexed citations

6.

Inagaki, Takahiro, Yoshitaka Haribara, Koji Igarashi, et al.. (2016). A coherent Ising machine for 2000-node optimization problems. Science. 354(6312). 603–606. 495 indexed citations breakdown →

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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