Jun Ohkubo

403 citations
45 papers · 242 · h-index 9

Impact in

Papers in

Jun Ohkubo

42 papers receiving 237 citations

Peers

Jun Ohkubo
Comparison fields: 5 of 59
  • Computational Mathematics 6
  • Statistical and Nonlinear Physics 118
  • Mathematical Physics 29
  • Condensed Matter Physics 31
  • Statistics and Probability 19
Replace Antonio Moro with:
Antonio Moro Italy
Alexander D. Kolesnik Moldova
Leonardo Ermann Argentina
Aleksander Janicki Poland
O. V. Usatenko Ukraine
Miquel Montero Spain
André Schlichting Germany
Tetsuya Misawa Japan
Paweł Błasiak Poland
Masato Hisakado Japan
Jun Ohkubo relative to Antonio Moro Italy Antonio Moro's profile →
Citations per field
00.5×1.5×2.2×
Antonio Moro · 1×
Citations per year

Countries citing papers authored by Jun Ohkubo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ohkubo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Jun Ohkubo, 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 Jun Ohkubo Line = papers co-authored together Jun Ohkubo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200534
2 200422
3 200516
4 201014
5 201312
6 201311
7 200510
8 20059
9 20068
10 20128
11 20177
12 20077
13 20216
14 20146
15 20195
16 20115
17 20075
18 20065
19 20145
20 20104

About Jun Ohkubo

Jun Ohkubo is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Molecular Biology, Mathematical Physics and Condensed Matter Physics, having authored 45 papers that have together received 242 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Stochastic processes and statistical mechanics (7 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers), Gene Regulatory Network Analysis (6 papers), Opinion Dynamics and Social Influence (6 papers), Quantum Computing Algorithms and Architecture (4 papers), Model Reduction and Neural Networks (4 papers) and Random Matrices and Applications (4 papers). The work is most often cited by research in Computational Mathematics (6 citations), Statistical and Nonlinear Physics (118 citations), Mathematical Physics (29 citations), Condensed Matter Physics (31 citations) and Statistics and Probability (19 citations). Jun Ohkubo has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Kazuyuki Tanaka, Tsuyoshi Horiguchi, Y. Fujimura, T. Kato, Hirohiko Kono, Tsuyoshi Horiguchi, H. Tamura, Naoki Masuda, T. Isobe and Atsushi Uchida. Their work appears in journals such as Journal of the Physical Society of Japan, Journal of Physics A Mathematical and Theoretical, Journal of Statistical Physics, Physical review. E and The Journal of Physical Chemistry 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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