Ikko Hamamura

1.5k citations
6 papers · 21 · h-index 3

Impact in

Papers in

    • Quantum Computing Algorithms and Architecture 5
    • Quantum Information and Cryptography 4
    • Neural Networks and Reservoir Computing 1
    • Quantum Mechanics and Applications 2
    • Spectroscopy and Quantum Chemical Studies 1
    • Quantum and electron transport phenomena 1
    • Quantum many-body systems 1

Ikko Hamamura

4 papers receiving 21 citations

Peers

Ikko Hamamura
Comparison fields: 5 of 10
  • Artificial Intelligence 17
  • Atomic and Molecular Physics, and Optics 11
  • Statistical and Nonlinear Physics 3
  • Computational Theory and Mathematics 3
  • Nuclear and High Energy Physics 1
Replace Slimane Thabet with:
Slimane Thabet France
Élie Genois Canada
Daniel Eppens United States
Edward D. Dahl United States
Ismail Yunus Akhalwaya South Africa
Noah Stevenson United States
Wojciech Rządkowski Poland
Thomas Alexander Australia
DJ Strouse United States
Ikko Hamamura relative to Slimane Thabet France Slimane Thabet's profile →
Citations per field
00.5×1.7×
Slimane Thabet · 1×
Citations per year

Countries citing papers authored by Ikko Hamamura

Since Specialization
Citations

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

Fields of papers citing papers by Ikko Hamamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Ikko Hamamura, 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 Ikko Hamamura Line = papers co-authored together Ikko Hamamura links everyone, so they are left out of the graph.

All Works

About Ikko Hamamura

Ikko Hamamura is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 21 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (4 papers), Quantum Mechanics and Applications (2 papers), Neural Networks and Reservoir Computing (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper), Quantum and electron transport phenomena (1 paper), Quantum many-body systems (1 paper) and Quantum chaos and dynamical systems (1 paper). The work is most often cited by research in Artificial Intelligence (17 citations), Atomic and Molecular Physics, and Optics (11 citations), Statistical and Nonlinear Physics (3 citations), Computational Theory and Mathematics (3 citations) and Nuclear and High Energy Physics (1 citation). Ikko Hamamura has collaborated with scholars based in Japan, Austria and Switzerland. Frequent co-authors include Ruho Kondo, Yuki Sato, Takayuki Miyadera, Atsushi Matsuo, Yudai Suzuki, Tamiya Onodera, Shigeru Yamashita, Naoki Yamamoto, Hans J. Briegel and Gorka Muñoz-Gil. Their work appears in journals such as Physics Letters A, Physical Review Applied, Machine Learning Science and Technology, Physical Review Research and IEICE Transactions on Information and Systems.

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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