Sei Suzuki

37 papers receiving 684 citations

Peers

Sei Suzuki
Comparison fields: 5 of 78
  • Statistical and Nonlinear Physics 164
  • Atomic and Molecular Physics, and Optics 407
  • Condensed Matter Physics 140
  • Computational Mathematics 4
  • Artificial Intelligence 190
Replace Zhi-Cheng Yang with:
Zhi-Cheng Yang China
Fengping Jin Germany
C. Degli Esposti Boschi Italy
Yuxin Wang China
Kazue Kudo Japan
Luis Quiroga Colombia
Di Luo United States
Yan-Cheng Wang China
Giuseppe Florio Italy
Sei Suzuki relative to Zhi-Cheng Yang China Zhi-Cheng Yang's profile →
Citations per field
00.5×3.2×
Zhi-Cheng Yang · 1×
Citations per year

Countries citing papers authored by Sei Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Sei Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sei Suzuki, 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 Sei Suzuki Line = papers co-authored together Sei Suzuki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010102
2 201590
3 201289
4 202281
5 199543
6 199433
7 201425
8 200724
9 201623
10 201718
11 201015
12 200915
13 199614
14 200714
15 199411
16 20229
17 20159
18 19859
19
[Minimum intensity projection image and curved reformation image of the main pancreatic duct obtained by helical CT in patients with main pancreatic duct dilation].
19999
20 20117

About Sei Suzuki

Sei Suzuki is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Artificial Intelligence, Materials Chemistry and Statistical and Nonlinear Physics, having authored 38 papers that have together received 692 indexed citations. Recurring topics across this work include Quantum many-body systems (13 papers), Quantum Computing Algorithms and Architecture (9 papers), Theoretical and Computational Physics (8 papers), Quantum Information and Cryptography (7 papers), Quantum and electron transport phenomena (6 papers), Physics of Superconductivity and Magnetism (5 papers), Opinion Dynamics and Social Influence (5 papers) and Semiconductor materials and devices (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (164 citations), Atomic and Molecular Physics, and Optics (407 citations), Condensed Matter Physics (140 citations), Computational Mathematics (4 citations) and Artificial Intelligence (190 citations). Sei Suzuki has collaborated with scholars based in Japan, India and Italy. Frequent co-authors include Amit Dutta, Bikas K. Chakrabarti, Jun‐ichi Inoue, Shraddha Sharma, Giuseppe E. Santoro, Giuseppe Mussardo, Alessandro Silva, Davide Rossini, Tetsuro Maki and Takeshi Kobayashi. Their work appears in journals such as Physical Review B, Japanese Journal of Applied Physics, The European Physical Journal Special Topics, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Journal of Low Temperature Physics.

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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