Jun Hasegawa

532 total papers · 6.2k total citations
329 papers, 5.0k citations indexed

About

Jun Hasegawa is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jun Hasegawa has authored 329 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Electrical and Electronic Engineering, 42 papers in Control and Systems Engineering and 39 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jun Hasegawa's work include Optimal Power Flow Distribution (50 papers), Smart Grid Energy Management (34 papers) and Electric Power System Optimization (32 papers). Jun Hasegawa is often cited by papers focused on Optimal Power Flow Distribution (50 papers), Smart Grid Energy Management (34 papers) and Electric Power System Optimization (32 papers). Jun Hasegawa collaborates with scholars based in Japan, United States and Germany. Jun Hasegawa's co-authors include Pathom Attaviriyanupap, Eiichi Tanaka, E. Tanaka, Hajime Kita, Susumu Uchiyama, Yu‐shin Sou, Masaaki Komatsu, Keiji Tanaka, Yoshihiro Sambongi and Satoshi Waguri and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

Jun Hasegawa

301 papers receiving 4.8k citations

Hit Papers

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun Hasegawa 2.0k 1.6k 540 485 337 329 5.0k
Yanwei Wang 993 0.5× 1.5k 0.9× 227 0.4× 122 0.3× 89 0.3× 345 8.2k
Hiroshi Maeda 661 0.3× 1.2k 0.8× 167 0.3× 184 0.4× 66 0.2× 429 10.5k
Yusuke Nakamura 516 0.3× 1.2k 0.7× 120 0.2× 101 0.2× 198 0.6× 197 2.9k
Hiroshi Sasaki 2.9k 1.4× 1.6k 1.0× 1.1k 2.0× 60 0.1× 88 0.3× 477 8.0k
Hiroshi Yamashita 319 0.2× 742 0.5× 201 0.4× 1.2k 2.4× 148 0.4× 144 4.4k
S. Yoshida 391 0.2× 2.5k 1.6× 67 0.1× 571 1.2× 137 0.4× 500 9.0k
Yanyan Zhang 2.4k 1.2× 1.2k 0.8× 91 0.2× 105 0.2× 129 0.4× 323 7.9k
Yasuhiro Miyake 613 0.3× 739 0.5× 46 0.1× 1.4k 2.8× 142 0.4× 396 5.4k
Isao Takahashi 10.8k 5.4× 721 0.5× 3.9k 7.2× 1.1k 2.2× 68 0.2× 409 15.3k
D. Taylor 466 0.2× 1.1k 0.7× 60 0.1× 527 1.1× 156 0.5× 244 5.7k

Countries citing papers authored by Jun Hasegawa

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hasegawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Hasegawa

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

All Works

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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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