Ichiro Takeuchi

18.9k total citations · 5 hit papers
317 papers, 14.2k citations indexed

About

Ichiro Takeuchi is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Ichiro Takeuchi has authored 317 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Materials Chemistry, 134 papers in Electronic, Optical and Magnetic Materials and 80 papers in Electrical and Electronic Engineering. Recurrent topics in Ichiro Takeuchi's work include Ferroelectric and Piezoelectric Materials (65 papers), Magnetic and transport properties of perovskites and related materials (58 papers) and Physics of Superconductivity and Magnetism (55 papers). Ichiro Takeuchi is often cited by papers focused on Ferroelectric and Piezoelectric Materials (65 papers), Magnetic and transport properties of perovskites and related materials (58 papers) and Physics of Superconductivity and Magnetism (55 papers). Ichiro Takeuchi collaborates with scholars based in United States, Japan and China. Ichiro Takeuchi's co-authors include Daisuke Kan, V. Nagarajan, Suxin Qian, Reinhard Radermacher, Yunho Hwang, Hideomi Koinuma, Manfred Wuttig, Xiaohang Zhang, Jun Cui and Jason Hattrick‐Simpers and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

Ichiro Takeuchi

306 papers receiving 13.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exceptional power density and stability at intermediate temperatures in protonic ceramic fuel cells

2018 767 citations Xiaohang Zhang, Ichiro Takeuchi et al. profile →
Combinatorial search of thermoelastic shape-memory alloys with extremely small hysteresis width

2006 564 citations Jun Cui, Ichiro Takeuchi et al. profile →
Fatigue-resistant high-performance elastocaloric materials made by additive manufacturing

2019 322 citations Huilong Hou, Emrah Simsek et al. Science profile →
Materials, physics and systems for multicaloric cooling

2022 186 citations Huilong Hou, Suxin Qian et al. profile →
High-performance multimode elastocaloric cooling system

2023 139 citations Suxin Qian, Boyang Liu et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ichiro Takeuchi United States	61	10.9k	6.2k	3.4k	1.9k	1.7k	317	14.2k
Marta D. Rossell Switzerland	49	8.5k 0.8×	4.2k 0.7×	4.2k 1.2×	1.1k 0.6×	1.9k 1.1×	175	12.7k
Vidvuds Ozoliņš United States	60	9.1k 0.8×	2.6k 0.4×	4.3k 1.3×	1.8k 1.0×	830 0.5×	146	13.0k
Fumiyasu Oba Japan	54	12.4k 1.1×	3.8k 0.6×	5.4k 1.6×	951 0.5×	758 0.5×	223	15.3k
Jian‐Min Zuo United States	64	7.3k 0.7×	2.6k 0.4×	4.3k 1.3×	2.1k 1.1×	3.2k 1.9×	436	14.4k
Laurence D. Marks United States	65	12.0k 1.1×	5.1k 0.8×	3.6k 1.1×	1.7k 0.9×	2.7k 1.7×	385	18.7k
Gustau Catalán Spain	51	13.7k 1.3×	10.4k 1.7×	2.4k 0.7×	863 0.5×	3.5k 2.1×	134	16.1k
Andrey Chuvilin Spain	59	9.2k 0.8×	2.1k 0.3×	3.5k 1.1×	1.3k 0.7×	3.0k 1.8×	315	13.7k
Keisuke Kobayashi Japan	51	6.7k 0.6×	3.6k 0.6×	3.9k 1.2×	738 0.4×	1.0k 0.6×	457	10.5k
Atsushi Togo Japan	31	17.5k 1.6×	4.0k 0.6×	5.9k 1.8×	1.6k 0.9×	700 0.4×	52	20.6k
Miyoung Kim South Korea	50	6.0k 0.6×	2.7k 0.4×	5.1k 1.5×	867 0.5×	1.4k 0.8×	392	10.9k

Countries citing papers authored by Ichiro Takeuchi

Since Specialization

Citations

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

Fields of papers citing papers by Ichiro Takeuchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ichiro Takeuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Ichiro Takeuchi. A scholar is included among the top collaborators of Ichiro Takeuchi 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 Ichiro Takeuchi. Ichiro Takeuchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Park, Ji Hun, et al.. (2025). Stoichiometry effect on the structure and phase of antiperovskite Sr3SnO thin films prepared using combinatorial co-sputtering. Applied Physics Letters. 126(3). 1 indexed citations

Biswas, Arpan, Rama K. Vasudevan, Rohit Pant, et al.. (2025). SANE: strategic autonomous non-smooth exploration for multiple optima discovery in multi-modal and non-differentiable black-box functions. Digital Discovery. 4(3). 853–867. 1 indexed citations

Restelli, Alessandro, Steven A. Vitale, Ichiro Takeuchi, et al.. (2025). Microheater hotspot engineering for spatially resolved and repeatable multi-level switching in foundry-processed phase change silicon photonics. Nature Communications. 16(1). 4291–4291.

Allec, Sarah I., Eric S. Muckley, Nathan S. Johnson, et al.. (2024). A Case Study of Multimodal, Multi-institutional Data Management for the Combinatorial Materials Science Community. Integrating materials and manufacturing innovation. 13(2). 406–419. 2 indexed citations

Liu, Boyang, et al.. (2024). Elastocaloric cooling: A pathway towards future cooling technology. International Journal of Refrigeration. 162. 86–98. 6 indexed citations

Park, Ji Hun, Dylan J. Kirsch, Rohit Pant, et al.. (2024). Superconducting phase diagram in BixNi1–x thin films: The effects of Bi stoichiometry on superconductivity. Physical Review Materials. 8(7).

Takeuchi, Ichiro, et al.. (2023). Predicting the superconducting critical temperature in transition metal carbides and nitrides using machine learning. Physica C Superconductivity. 605. 1354209–1354209. 5 indexed citations

Yamazaki, Takahiro, et al.. (2023). Tuning the temperature range of superelastic Ni-Ti alloys for elastocaloric cooling via thermal processing. Journal of Physics Energy. 5(2). 24020–24020. 9 indexed citations

Segovia, P., M.A. González, Matteo Jugovac, et al.. (2023). Physical Delithiation of Epitaxial LiCoO₂ Battery Cathodes as a Platform for Surface Electronic Structure Investigation. ACS Applied Materials & Interfaces. 15(30). 36224–36232. 1 indexed citations

10.

McDannald, Austin, Matthias Frontzek, A. T. Savici, et al.. (2023). ANDiE the Autonomous Neutron Diffraction Explorer. Neutron News. 34(2). 6–7. 1 indexed citations

11.

Kalinin, Sergei V., Christopher T. Nelson, Jonathan J. P. Peters, et al.. (2022). Unsupervised learning of ferroic variants from atomically resolved STEM images. AIP Advances. 12(10). 5 indexed citations

12.

McDannald, Austin, et al.. (2022). Benchmarking active learning strategies for materials optimization and discovery. 2(1). 17 indexed citations

13.

Stanev, Valentin, et al.. (2022). Application of machine learning to reflection high-energy electron diffraction images for automated structural phase mapping. Physical Review Materials. 6(6). 17 indexed citations

14.

Zhao, Chonghang, Marcus M. Noack, Jiun-Han Chen, et al.. (2022). Machine-learning for designing nanoarchitectured materials by dealloying. Communications Materials. 3(1). 9 indexed citations

15.

Nelson, Christopher T., Rama K. Vasudevan, Xiaohang Zhang, et al.. (2020). Exploring physics of ferroelectric domain walls via Bayesian analysis of atomically resolved STEM data. Nature Communications. 11(1). 6361–6361. 24 indexed citations

16.

Hagerstrom, Aaron M., Xiaohang Zhang, Xifeng Lu, et al.. (2020). Measurements of Nonlinear Polarization Dynamics in the Tens of Gigahertz. Physical Review Applied. 13(4). 3 indexed citations

17.

Hou, Huilong, Emrah Simsek, Tao Ma, et al.. (2019). Fatigue-resistant high-performance elastocaloric materials made by additive manufacturing. Science. 366(6469). 1116–1121. 322 indexed citations breakdown →

18.

Jarry, Angélique, Sandrine Ricote, Xiaohang Zhang, et al.. (2018). Assessing Substitution Effects on Surface Chemistry by in Situ Ambient Pressure X-ray Photoelectron Spectroscopy on Perovskite Thin Films, BaCe_xZr_0.9–xY_0.1O_2.95 (x = 0; 0.2; 0.9). ACS Applied Materials & Interfaces. 10(43). 37661–37670. 27 indexed citations

19.

Ratcliff, William, et al.. (2012). Investigation of Electric Field Control of Antiferromagnetic Domains in Epitaxial BiFeO3 Thin Films Using Neutron Diffraction. Bulletin of the American Physical Society. 2012. 2 indexed citations

20.

Takeuchi, Ichiro, et al.. (2005). Combinatorial Materials Synthesis and High-Throughput Characterization | NIST. Materials Today. 7. 2 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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