Satoshi Hasegawa

5.8k citations
129 papers · 4.4k indexed · 1 hit paper · h-index 30

Satoshi Hasegawa

124 papers receiving 4.2k citations

Hit Papers

Ultrafast laser processing of materials: from science to ...9632016202620192022250500750

Peers

Satoshi Hasegawa
Comparison fields: 5 of 163
  • Computational Mechanics 916
  • Biotechnology 372
  • Media Technology 291
  • Biomedical Engineering 1.4k
  • Biophysics 162
Replace Mark G. Allen with:
Mark G. Allen United States
Philippe Renaud Switzerland
Qing Yang China
Shoji Takeuchi Japan
Daniel Sage Switzerland
Takashi Inoue Japan
Daniel Palanker United States
Jochen Guck Germany
G.T.A. Kovacs United States
David H. Sliney United States
Satoshi Hasegawa relative to Mark G. Allen United States Mark G. Allen's profile →
Citations per field
00.5×4.9×
Mark G. Allen · 1×
Citations per year

Countries citing papers authored by Satoshi Hasegawa

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Hasegawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Satoshi Hasegawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Satoshi Hasegawa Line = papers co-authored together Satoshi Hasegawa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2017130
2 20176
3 201610
4 201315
5 201117
6 20101
7 20106
8 20081
9 20081
10
Anidanthus, Gypospirifer and Alispiriferella (Brachiopoda) from the Upper Permian Mizukoshi Formation, central Kyushu, SW Japan
20076
11 200740
12
Middle Permian ammonoids from the Takakurayama area, Abukuma Mountains, northeast Japan, and their stratigraphical significance
20053
13 20054
14 20042
15 20027
16
QoS Restoration that Maintains Minimum QoS Requirements -A New Approach for Failure Restoration-
20001
17 200081
18 1993234
19 1993169
20
19842

About Satoshi Hasegawa

Satoshi Hasegawa is a scholar working on Media Technology, Computational Mechanics and Atomic and Molecular Physics, and Optics, having authored 129 papers that have together received 4.4k indexed citations. Recurring topics across this work include Laser Material Processing Techniques (35 papers), Advanced Optical Imaging Technologies (23 papers), Photorefractive and Nonlinear Optics (20 papers), Nonlinear Optical Materials Studies (17 papers), Laser-Matter Interactions and Applications (9 papers), Optical Coherence Tomography Applications (9 papers), Orbital Angular Momentum in Optics (8 papers) and Digital Holography and Microscopy (7 papers). The work is most often cited by research in Computational Mechanics (916 citations), Biotechnology (372 citations) and Media Technology (291 citations). Satoshi Hasegawa has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yoshio Hayasaki, Saulius Juodkazis, Ričardas Buividas, Mangirdas Malinauskas, Albertas Žukauskas, Vygantas Mizeikis, Takashi Chishima, Meng Yang, Noriaki Takeda and Toru Matsunaga.

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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