Ryoichi Kawai

81 papers receiving 3.5k citations

Hit Papers

Efficiency at Maximum Power of Low-Dissipation Carnot Eng...20102026201520202010100200300

Peers

Ryoichi Kawai
Comparison fields: 5 of 127
  • Statistical and Nonlinear Physics 2.1k
  • Atomic and Molecular Physics, and Optics 1.2k
  • Materials Chemistry 817
  • Computer Networks and Communications 404
  • Physical and Theoretical Chemistry 362
Replace Gary P. Morriss with:
Gary P. Morriss Australia
Massimiliano Esposito Luxembourg
Christopher Jarzynski United States
Takahiro Sagawa Japan
R. Graham Germany
Michael J. Davis United States
Irwin Oppenheim United States
Natsuki Hashitsume Japan
Yuri P. Kalmykov France
Lars Onsager United States
Ryoichi Kawai relative to Gary P. Morriss Australia Gary P. Morriss's profile →
Citations per field
00.5×1.5×
Gary P. Morriss · 1×
Citations per year

Countries citing papers authored by Ryoichi Kawai

Since Specialization
Citations

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

Fields of papers citing papers by Ryoichi Kawai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryoichi Kawai

This figure shows the co-authorship network connecting the top 25 collaborators of Ryoichi Kawai. A scholar is included among the top collaborators of Ryoichi Kawai 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 Ryoichi Kawai. Ryoichi Kawai 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 1
2 2
3 187
4
Efficiency at Maximum Power of Low-Dissipation Carnot Enginesbreakdown →
392
5
Efficiency optimization of the Buttiker-Landauer Heat Engine
1
6 44
7
Molecular Dynamics simulation of Buttiker-Landauer Refrigerator
2
8 22
9 2
10 27
11 358
12 5
13 14
14 73
15 56
16 32
17 108
18 48
19 20
20 29

About Ryoichi Kawai

Ryoichi Kawai is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Acoustics and Ultrasonics, having authored 82 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (35 papers), stochastic dynamics and bifurcation (22 papers) and Nonlinear Dynamics and Pattern Formation (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.1k citations), Physical and Theoretical Chemistry (362 citations) and Atomic and Molecular Physics, and Optics (1.2k citations). Ryoichi Kawai has collaborated with scholars based in United States, Belgium and Japan. Frequent co-authors include J. F. J. van den Brand, Katja Lindenberg, Juan M. R. Parrondo, Massimiliano Esposito, John H. Weare, Christian Van den Broeck, J.H. Weare, M. Haisa, Eric J. Bylaska and S. Kashino. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and The Journal of Chemical 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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