Ippei Obayashi

1.4k total citations
43 papers, 814 citations indexed

About

Ippei Obayashi is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ippei Obayashi has authored 43 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 13 papers in Mathematical Physics and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ippei Obayashi's work include Topological and Geometric Data Analysis (21 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and Homotopy and Cohomology in Algebraic Topology (10 papers). Ippei Obayashi is often cited by papers focused on Topological and Geometric Data Analysis (21 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and Homotopy and Cohomology in Algebraic Topology (10 papers). Ippei Obayashi collaborates with scholars based in Japan, United States and Finland. Ippei Obayashi's co-authors include Yasuaki Hiraoka, Masao Kimura, Takashi Ichinomiya, Takenobu Nakamura, Hiroshi Kokubu, Yohei Onodera, Shinji Kohara, Kazuo Tsuchiya, Akihiko Hirata and Shinya Aoi and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Ippei Obayashi

38 papers receiving 793 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ippei Obayashi Japan 17 324 216 173 140 102 43 814
Ge Zhang United States 18 63 0.2× 465 2.2× 91 0.5× 56 0.4× 139 1.4× 39 971
Ryan S. Elliott United States 32 66 0.2× 574 2.7× 85 0.5× 10 0.1× 472 4.6× 124 3.6k
Tomas Oppelstrup United States 13 27 0.1× 823 3.8× 14 0.1× 30 0.2× 115 1.1× 37 1.3k
S. Kim United States 10 49 0.2× 195 0.9× 10 0.1× 40 0.3× 63 0.6× 20 684
Walter Mickel Germany 10 20 0.1× 341 1.6× 17 0.1× 14 0.1× 125 1.2× 11 740
Huibin Chang China 20 13 0.0× 524 2.4× 55 0.3× 10 0.1× 189 1.9× 47 1.3k
Hiroyuki Sakai Japan 13 24 0.1× 142 0.7× 5 0.0× 36 0.3× 69 0.7× 54 572
Alexandre Dupuis Canada 26 57 0.2× 157 0.7× 20 0.1× 4 0.0× 308 3.0× 62 2.4k
Qi Wu China 22 22 0.1× 64 0.3× 58 0.3× 26 0.2× 246 2.4× 103 1.4k
Brian P. Tighe Netherlands 23 20 0.1× 814 3.8× 23 0.1× 9 0.1× 267 2.6× 47 1.4k

Countries citing papers authored by Ippei Obayashi

Since Specialization
Citations

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

Fields of papers citing papers by Ippei Obayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ippei Obayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Ippei Obayashi. A scholar is included among the top collaborators of Ippei Obayashi 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 Ippei Obayashi. Ippei Obayashi 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.
Minamitani, Emi, Takenobu Nakamura, Ippei Obayashi, & Hideyuki Mizuno. (2025). Persistent homology elucidates hierarchical structures responsible for mechanical properties in covalent amorphous solids. Nature Communications. 16(1). 8226–8226.
2.
Tone, Masahide, Shunsuke Sato, Ippei Obayashi, et al.. (2025). Linking structure and process in dendritic growth using persistent homology with energy analysis. SHILAP Revista de lepidopterología. 5(1).
3.
Sato, Shunsuke, Chiharu Mitsumata, Takahiro Yamazaki, et al.. (2025). Automated identification of the origin of energy loss in nonoriented electrical steel by feature extended Ginzburg–Landau free energy framework. Scientific Reports. 15(1). 23758–23758.
4.
5.
Mayumi, Koichi, et al.. (2024). Error evaluation of partial scattering functions obtained from contrast-variation small-angle neutron scattering. Journal of Applied Crystallography. 58(1). 4–17. 1 indexed citations
6.
Obayashi, Ippei, Kohei Nakajima, Hiroshi Kokubu, et al.. (2023). Sharp changes in fractal basin of attraction in passive dynamic walking. Nonlinear Dynamics. 111(23). 21941–21955. 3 indexed citations
7.
Obayashi, Ippei, et al.. (2023). Field Choice Problem in Persistent Homology. Discrete & Computational Geometry. 70(3). 645–670.
8.
Obayashi, Ippei. (2023). Stable volumes for persistent homology. 7(4). 671–706. 5 indexed citations
9.
Obayashi, Ippei, et al.. (2022). Contribution of Phase Resetting to Statistical Persistence in Stride Intervals: A Modeling Study. Frontiers in Neural Circuits. 16. 836121–836121. 2 indexed citations
10.
Suzuki, Anna, James M. Minto, Takeshi Tsuji, et al.. (2021). Flow estimation solely from image data through persistent homology analysis. Scientific Reports. 11(1). 17948–17948. 21 indexed citations
11.
Tahara, Shuta, Shinji Kohara, Yohei Onodera, et al.. (2020). Very sharp diffraction peak in nonglass-forming liquid with the formation of distorted tetraclusters. NPG Asia Materials. 12(1). 20 indexed citations
12.
Aoi, Shinya, et al.. (2020). Fractal mechanism of basin of attraction in passive dynamic walking. Bioinspiration & Biomimetics. 15(5). 55002–55002. 16 indexed citations
13.
Ichinomiya, Takashi, Ippei Obayashi, & Yasuaki Hiraoka. (2020). Protein-Folding Analysis Using Features Obtained by Persistent Homology. Biophysical Journal. 118(12). 2926–2937. 17 indexed citations
14.
Onodera, Yohei, Yasuyuki Takimoto, Taketoshi Taniguchi, et al.. (2019). Origin of the mixed alkali effect in silicate glass. NPG Asia Materials. 11(1). 85 indexed citations
15.
Aoi, Shinya, et al.. (2019). Investigating phase resetting effect on basin of attraction for walking using a simple model. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations
16.
Hiraoka, Yasuaki, Ippei Obayashi, Shigeru Furui, et al.. (2019). Hepatic tumor classification using texture and topology analysis of non-contrast-enhanced three-dimensional T1-weighted MR images with a radiomics approach. Scientific Reports. 9(1). 8764–8764. 76 indexed citations
17.
Ichinomiya, Takashi, Ippei Obayashi, & Yasuaki Hiraoka. (2017). Persistent homology analysis of craze formation. Physical review. E. 95(1). 12504–12504. 54 indexed citations
18.
Obayashi, Ippei, Shinya Aoi, Kazuo Tsuchiya, & Hiroshi Kokubu. (2015). Common formation mechanism of basin of attraction for bipedal walking models by saddle hyperbolicity and hybrid dynamics. Japan Journal of Industrial and Applied Mathematics. 32(2). 315–332. 16 indexed citations
19.
Kokubu, Hiroshi & Ippei Obayashi. (2015). An Attempt to Understand Global Structure of Dynamics in Nonlinear Phenomena. 22(2). 68–77. 1 indexed citations
20.
Obayashi, Ippei. (2011). Computer-Assisted Verification Method for Invariant Densities and Rates of Decay of Correlations. SIAM Journal on Applied Dynamical Systems. 10(2). 788–816. 6 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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