Isao Inoue

5.5k total citations · 2 hit papers
132 papers, 4.3k citations indexed

About

Isao Inoue is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Isao Inoue has authored 132 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Materials Chemistry, 43 papers in Electronic, Optical and Magnetic Materials and 39 papers in Electrical and Electronic Engineering. Recurrent topics in Isao Inoue's work include Electronic and Structural Properties of Oxides (41 papers), Magnetic and transport properties of perovskites and related materials (36 papers) and Advanced Condensed Matter Physics (25 papers). Isao Inoue is often cited by papers focused on Electronic and Structural Properties of Oxides (41 papers), Magnetic and transport properties of perovskites and related materials (36 papers) and Advanced Condensed Matter Physics (25 papers). Isao Inoue collaborates with scholars based in Japan, France and Argentina. Isao Inoue's co-authors include M. J. Rozenberg, M. J. Sánchez, Hiroyuki Akinaga, H. Takagi, Mitsuru Shindo, Kiyoshi Tomioka, H. Akoh, Kenji Koga, Hisao Makino and M. Kawasaki and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nature Communications.

In The Last Decade

Isao Inoue

117 papers receiving 4.2k citations

Hit Papers

Nonvolatile Memory with Multilevel Switching: A Basic Model 2004 2026 2011 2018 2004 2006 100 200 300 400 500
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.

  1. Nonvolatile Memory with Multilevel Switching: A Basic Model
    2004 503 citations Isao Inoue et al. profile →
  2. Electrostatic modification of novel materials
    2006 414 citations Isao Inoue et al. profile →

Peers

Isao Inoue
Laurent Cario France
Luca Muccioli Italy
Haipeng Lu Hong Kong
Ezekiel Johnston‐Halperin United States
Ernesto Joselevich Israel
Hoi Lam Tam Hong Kong
Oana D. Jurchescu United States
Sven Van Elshocht Belgium
Udayabhaskararao Thumu China
Yuji Yamaguchi Japan
Laurent Cario France
Isao Inoue
Citations per year, relative to Isao Inoue Isao Inoue (= 1×) peers Laurent Cario

Countries citing papers authored by Isao Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Isao Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isao Inoue

This figure shows the co-authorship network connecting the top 25 collaborators of Isao Inoue. A scholar is included among the top collaborators of Isao Inoue 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 Isao Inoue. Isao Inoue 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.
Pati, Satya Prakash, et al.. (2024). Real-time information processing via volatile resistance change in scalable protonic devices. Communications Materials. 5(1). 1 indexed citations
2.
Yajima, Takeaki, et al.. (2023). CMOS-based area-and-power-efficient neuron and synapse circuits for time-domain analog spiking neural networks. Applied Physics Letters. 122(7). 19 indexed citations
3.
Jiang, Shan, Xiaokang Li, Y. Tomioka, et al.. (2023). Glasslike thermal conductivity and narrow insulating gap of EuTiO3. Physical Review Materials. 7(9). 4 indexed citations
4.
Tomioka, Y., Naoki Shirakawa, & Isao Inoue. (2022). Superconductivity enhancement in polar metal regions of Sr0.95Ba0.05TiO3 and Sr0.985Ca0.015TiO3 revealed by systematic Nb doping. npj Quantum Materials. 7(1). 16 indexed citations
5.
Yajima, Takeaki, et al.. (2021). An ultra-compact leaky integrate-and-fire neuron with long and tunable time constant utilizing pseudo resistors for spiking neural networks. Japanese Journal of Applied Physics. 61(SC). SC1051–SC1051. 6 indexed citations
6.
Tomioka, Y., Naoki Shirakawa, Keisuke Shibuya, & Isao Inoue. (2019). Enhanced superconductivity close to a non-magnetic quantum critical point in electron-doped strontium titanate. Nature Communications. 10(1). 738–738. 54 indexed citations
7.
8.
Kumar, Neeraj, et al.. (2016). Anomalous enhancement of the sheet carrier density beyond the classic limit on a SrTiO3 surface. Scientific Reports. 6(1). 25789–25789. 6 indexed citations
9.
Xiang, Ping‐Hua, Shutaro Asanuma, Hiroyuki Yamada, et al.. (2013). Electrolyte‐Gated SmCoO3 Thin‐Film Transistors Exhibiting Thickness‐Dependent Large Switching Ratio at Room Temperature. Advanced Materials. 25(15). 2158–2161. 24 indexed citations
10.
Yang, J. Joshua, Isao Inoue, Thomas Mikolajick, & Cheol Seong Hwang. (2012). Metal oxide memories based on thermochemical and valence change mechanisms. MRS Bulletin. 37(2). 131–137. 110 indexed citations
11.
Inoue, Isao. (2010). On the Effect of Training Data on Artificial Neural Network Models for Prediction. 31(2). 125–128. 2 indexed citations
12.
Inoue, Isao. (2009). The Preliminary Analysis of Artificial Neural Network Model for Prediction. 30(2). 97–100. 1 indexed citations
13.
Sekimoto, Miho, et al.. (2008). Management patterns and healthcare costs for hospitalized patients with cerebral infarction. Health Policy. 88(1). 100–109. 8 indexed citations
14.
Kobayashi, Shotai, Tadashi Terasaki, Yoichiro Hashimoto, et al.. (2004). Three-month outcome of ischemic stroke patients admitted within 3 hours-Prospective study using stroke database of Japanese standard stroke registry-. Nosotchu. 26(2). 323–330. 4 indexed citations
15.
Makimoto, Kazuo, et al.. (1993). Studies on the Clinical Feasibility of Keigai-Rengyo-To for Chronic Sinusitis.. Practica Oto-Rhino-Laryngologica. 86(10). 1499–1508.
16.
Watanabe, Y., Isao Inoue, Hitoshi Shimano, et al.. (1993). Effect of Macrophage Colony-Stimulating Factor on the Development of Diabetes Mellitus in BB Rats. Hormone and Metabolic Research. 25(6). 323–324. 2 indexed citations
17.
Takeda, Masahiko, et al.. (1989). Effects of supplemental dietary oxidized oil and nutrient mixture on lipid peroxidation in red sea bream.. Aquaculture Science. 37(1). 1–7. 3 indexed citations
18.
Teshima, H, Isao Inoue, Y Kashimura, et al.. (1982). Cytology of malignant melanoma arising in the cervix and the vagina : in comparison with the electron microscopic findings. The Journal of the Japanese Society of Clinical Cytology. 21(2). 208–213.
19.
Inoue, Isao, et al.. (1979). 9‐アリルアデニン1‐オキシドおよび9‐(Δ2‐イソペンテニル)アデニン1‐オキシドの合成. Heterocycles. 12(12). 1543–1546.
20.
Inoue, Isao. (1978). Reflex Discharges in the Hypoglossal Nerve Elicited by Stimulating Parts of Frog's Tongue. The Journal of the Kyushu Dental Society. 32(2). 119–131. 5 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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