Kohei Hayashi

5.9k citations
94 papers · 1.1k indexed · h-index 17
Topics
Galaxies: Formation, Evolution, Phenomena (23 papers)Particle physics theoretical and experimental studies (17 papers)Dark Matter and Cosmic Phenomena (17 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Kohei Hayashi

91 papers receiving 999 citations

Peers

Kohei Hayashi
Comparison fields: 5 of 92
  • Nuclear and High Energy Physics 432
  • Astronomy and Astrophysics 332
  • Computational Mathematics 178
  • Computational Mechanics 134
  • Artificial Intelligence 127
Replace Jiamin Hou with:
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Roger M. Smith United States
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J. S. R. Chisholm United Kingdom
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Citations per field
00.5×10×20×30×35.6×
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Citations per year

Countries citing papers authored by Kohei Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Kohei Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kohei Hayashi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 4
4 7
5 5
6 11
7 3
8 1
9 12
10 0
11
On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis.
1
12 4
13
Fitting Low-Rank Tensors in Constant Time
1
14
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection.
2
15
An Optimality Proof for the PairDiff operator for Representing Relations between Words.
1
16
Tensor Decomposition with Smoothness
2
17 19
18
Factorized Asymptotic Bayesian Inference for Latent Feature Models
10
19
Self-measuring Similarity for Multi-task Gaussian Process
3
20
On the extension of trace norm to tensors
17

About Kohei Hayashi

Kohei Hayashi is a scholar working on Computational Mathematics, Instrumentation and Nuclear and High Energy Physics, having authored 94 papers that have together received 1.1k indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (23 papers), Particle physics theoretical and experimental studies (17 papers) and Dark Matter and Cosmic Phenomena (17 papers). The work is most often cited by research in Computational Mathematics (178 citations), Nuclear and High Energy Physics (432 citations) and Instrumentation (80 citations). Kohei Hayashi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hisashi Kashima, Ryota Tomioka, Masashi Chiba, Masahiro Ibe, Miho N. Ishigaki, Taiji Suzuki, Nobuyuki Kudomi, Shigeki Matsumoto, H. Ohsumi and Kazuhiko Kume. Their work appears in journals such as PLoS ONE, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

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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