Ken Funo

1.4k citations
29 papers · 856 · h-index 16

Impact in

Papers in

Ken Funo

27 papers receiving 846 citations

Peers

Ken Funo
Comparison fields: 5 of 38
  • Statistical and Nonlinear Physics 622
  • Atomic and Molecular Physics, and Optics 589
  • Artificial Intelligence 418
  • Computational Mathematics 3
  • Civil and Structural Engineering 78
Replace Naoto Shiraishi with:
Naoto Shiraishi Japan
Karen V. Hovhannisyan Spain
Felix C. Binder Ireland
Philipp Strasberg Spain
Mark T. Mitchison Ireland
Mohammad Mehboudi Spain
Kamil Korzekwa Poland
Nelly H. Y. Ng Singapore
M. Michel Germany
Shuoming An China
Ken Funo relative to Naoto Shiraishi Japan Naoto Shiraishi's profile →
Citations per field
00.5×1.5×
Naoto Shiraishi · 1×
Citations per year

Countries citing papers authored by Ken Funo

Since Specialization
Citations

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

Fields of papers citing papers by Ken Funo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018155
2 2017105
3 201888
4 201368
5 201851
6 201347
7 202147
8 201438
9 202030
10 201429
11 201928
12 201527
13 201822
14 202316
15 202415
16 201515
17 202215
18 201815
19 202114
20 201412

About Ken Funo

Ken Funo is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Artificial Intelligence, Civil and Structural Engineering and Physical and Theoretical Chemistry, having authored 29 papers that have together received 856 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (21 papers), Quantum Information and Cryptography (12 papers), Quantum Mechanics and Applications (9 papers), Quantum Electrodynamics and Casimir Effect (6 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Quantum and electron transport phenomena (5 papers), Thermal Radiation and Cooling Technologies (3 papers) and Statistical Mechanics and Entropy (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (622 citations), Atomic and Molecular Physics, and Optics (589 citations), Artificial Intelligence (418 citations), Computational Mathematics (3 citations) and Civil and Structural Engineering (78 citations). Ken Funo has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masahito Ueda, Naoto Shiraishi, Keiji Saito, Yu Watanabe, H. T. Quan, Franco Nori, Neill Lambert, Hiroyasu Tajima, Kihwan Kim and Jing-Ning Zhang. Their work appears in journals such as Physical Review Letters, Physical Review Research, Physical review. E, New Journal of Physics and Physical review. B..

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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