Takashi Okamoto

5.6k total citations · 1 hit paper
179 papers, 3.0k citations indexed

About

Takashi Okamoto is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Takashi Okamoto has authored 179 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Astronomy and Astrophysics, 33 papers in Artificial Intelligence and 30 papers in Civil and Structural Engineering. Recurrent topics in Takashi Okamoto's work include Galaxies: Formation, Evolution, Phenomena (41 papers), Astrophysics and Star Formation Studies (26 papers) and Landslides and related hazards (24 papers). Takashi Okamoto is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (41 papers), Astrophysics and Star Formation Studies (26 papers) and Landslides and related hazards (24 papers). Takashi Okamoto collaborates with scholars based in Japan, United States and United Kingdom. Takashi Okamoto's co-authors include Tom Theuns, Liang Gao, Sumio Matsuura, Carlos S. Frenk, Shiho Asano, Mutsuto Kawahara, Naoki Yoshida, Toshikazu Nishimori, Yoshio Shigenaga and Asao Habe and has published in prestigious journals such as Science, The Astrophysical Journal and The Journal of Comparative Neurology.

In The Last Decade

Takashi Okamoto

155 papers receiving 2.9k citations

Hit Papers

Mass loss of galaxies due to an ultraviolet background 2008 2026 2014 2020 2008 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Takashi Okamoto Japan 29 1.6k 653 302 252 250 179 3.0k
Daniel Huber United States 42 3.4k 2.2× 1.9k 2.9× 10 0.0× 78 0.3× 1.0k 4.2× 234 7.4k
F.J. Harris United States 7 258 0.2× 19 0.0× 11 0.0× 121 0.5× 359 1.4× 18 5.2k
D. D. Rowlands United States 35 3.0k 1.9× 42 0.1× 58 0.2× 11 0.0× 9 0.0× 173 5.1k
Simon Green United Kingdom 38 2.6k 1.7× 9 0.0× 31 0.1× 44 0.2× 17 0.1× 208 5.3k
Guangyou Fang China 36 897 0.6× 43 0.1× 49 0.2× 8 0.0× 114 0.5× 478 5.4k
R. B. Blackman Canada 7 336 0.2× 14 0.0× 11 0.0× 56 0.2× 118 0.5× 8 2.3k
Kenneth L. Cummins United States 33 4.0k 2.6× 16 0.0× 24 0.1× 13 0.1× 14 0.1× 108 5.3k
Daniel Morris United States 25 315 0.2× 72 0.1× 12 0.0× 162 0.6× 42 0.2× 98 2.7k
Erkki Somersalo United States 36 57 0.0× 10 0.0× 12 0.0× 64 0.3× 263 1.1× 181 7.2k

Countries citing papers authored by Takashi Okamoto

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Okamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Okamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Okamoto. A scholar is included among the top collaborators of Takashi Okamoto 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 Takashi Okamoto. Takashi Okamoto 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
1.
Fujii, Michiko S., Takayuki R. Saitoh, Kohji Yoshikawa, et al.. (2025). The First Star-by-star $N$-body/Hydrodynamics Simulation of Our Galaxy Coupling with a Surrogate Model. ArXiv.org. 1859–1873.
2.
Oogi, Taira, et al.. (2024). The evolution of supermassive black hole mass–bulge mass relation by a semi-analytical model, ν2GC. Monthly Notices of the Royal Astronomical Society. 531(1). 851–858. 1 indexed citations
3.
Matsushi, Yuki, et al.. (2023). Semiempirical modeling of the transient response of pore pressure to rainfall and snowmelt in a dormant landslide. Landslides. 21(2). 245–256. 2 indexed citations
4.
Fudamoto, Yoshinobu, Akio Inoue, Yuma Sugahara, et al.. (2023). Updated Measurements of [O iii] 88 μm, [C ii] 158 μm, and Dust Continuum Emission from a z = 7.2 Galaxy. The Astrophysical Journal. 945(1). 69–69. 7 indexed citations
5.
Tamura, Yoichi, Tom J. L. C. Bakx, Akio Inoue, et al.. (2023). The 300 pc Resolution Imaging of a z = 8.31 Galaxy: Turbulent Ionized Gas and Potential Stellar Feedback 600 Million Years after the Big Bang. The Astrophysical Journal. 952(1). 9–9. 8 indexed citations
6.
Hirai, Yutaka, Timothy C. Beers, Masashi Chiba, et al.. (2022). Origin of highly r-process-enhanced stars in a cosmological zoom-in simulation of a Milky Way-like galaxy. Monthly Notices of the Royal Astronomical Society. 517(4). 4856–4874. 23 indexed citations
7.
Tanaka, Masayuki, et al.. (2022). The Missing Satellite Problem outside of the Local Group. II. Statistical Properties of Satellites of Milky Way–like Galaxies. The Astrophysical Journal. 936(1). 38–38. 12 indexed citations
8.
Inoue, Akio, Takuya Hashimoto, M. C. Toribio, et al.. (2021). A puzzling non-detection of [O III] and [C II] from a z ≈ 7.7 galaxy observed with ALMA. Terrestrial Environment Research Center (University of Tsukuba). 5 indexed citations
10.
Okamoto, Takashi, Toshihiro Kawaguchi, Masahiro Nagashima, et al.. (2018). The New Numerical Galaxy Catalogue (ν2GC): properties of active galactic nuclei and their host galaxies. Monthly Notices of the Royal Astronomical Society. 482(4). 4846–4873. 19 indexed citations
11.
Okamoto, Takashi & Hironori Hirata. (2013). Constrained optimization using the chaotic Lagrange quasi-Newton method - A basic study of its search trajectory and its search capability. Society of Instrument and Control Engineers of Japan. 564–570.
12.
Okamoto, Takashi & Hironori Hirata. (2012). A Chaotic Optimization Method without Initial Sampling Parameter Tuning. Transactions of the Society of Instrument and Control Engineers. 48(3). 125–133.
13.
Okamoto, Takashi, et al.. (2012). A growing complex network design method with an adaptive multi-objective genetic algorithm and an inner link restructuring method. Society of Instrument and Control Engineers of Japan. 1525–1531. 1 indexed citations
14.
Tanikawa, Ataru, Kohji Yoshikawa, Keigo Nitadori, & Takashi Okamoto. (2012). Phantom-GRAPE: SIMD accelerated numerical library for N-body simulations. ascl. 1 indexed citations
15.
Okamoto, Takashi & Hironori Hirata. (2010). Global optimization using the draining method and the simultaneous perturbation gradient approximation. Society of Instrument and Control Engineers of Japan. 833–837. 1 indexed citations
16.
Okamoto, Takashi, Hiroshi Takenaka, Takashi Nakamura, & Takayuki Aoki. (2010). Accelerating Simulation of Seismic Wave Propagation by Multi-GPUs (Invited). AGUFM. 2010. 3 indexed citations
17.
Okamoto, Takashi & Hironori Hirata. (2009). Constrained optimization using the chaotic Lagrangian method and the simultaneous perturbation gradient approximation. 2009 ICCAS-SICE. 741–746. 1 indexed citations
18.
Okamoto, Takashi, C. J. E. M. Fortes, & David R. Basco. (2008). Wave Breaking Termination On Bar-trough Shaped Beaches. 2 indexed citations
19.
Okamoto, Takashi, et al.. (2001). STABILIZATION CONTROL FOR THE HUNTING MOTION OF A RAILWAY WHEELSET. Vehicle System Dynamics. 35. 41–55. 7 indexed citations
20.
Nakamae, Eihachiro, Kazufumi Kaneda, Takashi Okamoto, & Tomoyuki Nishita. (1990). A lighting model aiming at drive simulators. 395–404. 51 indexed citations

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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