Hideaki Arima

558 total citations
37 papers, 305 citations indexed

About

Hideaki Arima is a scholar working on Electrical and Electronic Engineering, General Health Professions and Computer Networks and Communications. According to data from OpenAlex, Hideaki Arima has authored 37 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 9 papers in General Health Professions and 8 papers in Computer Networks and Communications. Recurrent topics in Hideaki Arima's work include Semiconductor materials and devices (16 papers), Workplace Health and Well-being (9 papers) and Advancements in Semiconductor Devices and Circuit Design (9 papers). Hideaki Arima is often cited by papers focused on Semiconductor materials and devices (16 papers), Workplace Health and Well-being (9 papers) and Advancements in Semiconductor Devices and Circuit Design (9 papers). Hideaki Arima collaborates with scholars based in Japan, United States and Germany. Hideaki Arima's co-authors include Takashi Matsukawa, Akihito Shimazu, Asuka Sakuraya, Kazuhiro Watanabe, Norito Kawakami, Hisashi Eguchi, Kotaro Imamura, Yuka Kobayashi, Emiko Ando and Akizumi Tsutsumi and has published in prestigious journals such as Journal of The Electrochemical Society, IEEE Journal of Solid-State Circuits and IEEE Transactions on Electron Devices.

In The Last Decade

Hideaki Arima

33 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideaki Arima Japan 10 139 70 40 34 29 37 305
Jean Audet United States 9 86 0.6× 57 0.8× 31 0.8× 20 0.6× 4 0.1× 25 366
C.G. Wilson United States 11 190 1.4× 66 0.9× 19 0.5× 22 0.6× 9 0.3× 30 521
Karen Badger United States 11 108 0.8× 42 0.6× 32 0.8× 49 1.4× 4 0.1× 42 366
Matthias Rose Netherlands 9 149 1.1× 21 0.3× 22 0.6× 4 0.1× 5 0.2× 32 271
Jan Pavelka Czechia 13 75 0.5× 117 1.7× 34 0.8× 227 6.7× 3 0.1× 54 557
M. P. Zakrzewski United States 4 33 0.2× 89 1.3× 42 1.1× 47 1.4× 2 0.1× 7 243
William A. Cantrell United States 10 17 0.1× 46 0.7× 28 0.7× 36 1.1× 4 0.1× 27 513
Harleen Kaur India 6 19 0.1× 40 0.6× 57 1.4× 16 0.5× 8 0.3× 14 238
Hina Hakim Canada 8 10 0.1× 68 1.0× 15 0.4× 35 1.0× 16 0.6× 15 266
John Mulligan United States 9 10 0.1× 51 0.7× 35 0.9× 30 0.9× 55 1.9× 19 288

Countries citing papers authored by Hideaki Arima

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Arima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Arima

This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Arima. A scholar is included among the top collaborators of Hideaki Arima 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 Hideaki Arima. Hideaki Arima 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.
Sakuraya, Asuka, Kotaro Imamura, Kazuhiro Watanabe, et al.. (2023). Corrigendum: What kind of intervention is effective for improving subjective well-being among workers? A systematic review and meta-analysis of randomized controlled trials. Frontiers in Psychology. 14. 1236746–1236746.
2.
Arima, Hideaki, Tsuyoshi Akiyama, Yoshie Sakai, et al.. (2021). Resilience building for mood disorders: Theoretical introduction and the achievements of the Re-Work program in Japan. Asian Journal of Psychiatry. 58. 102580–102580. 2 indexed citations
3.
Sakuraya, Asuka, Kotaro Imamura, Kazuhiro Watanabe, et al.. (2020). What Kind of Intervention Is Effective for Improving Subjective Well-Being Among Workers? A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Frontiers in Psychology. 11. 528656–528656. 38 indexed citations
4.
Imamura, Kotaro, Akizumi Tsutsumi, Hideaki Arima, et al.. (2019). Association between psychosocial factors at work and health outcomes after retirement: a protocol for a systematic review and meta-analysis. BMJ Open. 9(8). e030773–e030773. 7 indexed citations
5.
Eguchi, Hisashi, Kazuhiro Watanabe, Norito Kawakami, et al.. (2018). Psychosocial factors at work and inflammatory markers: protocol for a systematic review and meta-analysis. BMJ Open. 8(8). e022612–e022612. 11 indexed citations
6.
Sakuraya, Asuka, Kazuhiro Watanabe, Norito Kawakami, et al.. (2017). Work-related psychosocial factors and onset of metabolic syndrome among workers: a systematic review and meta-analysis protocol. BMJ Open. 7(6). e016716–e016716. 12 indexed citations
7.
Sakurai, Kouhei, Kensuke Yoshimura, & Hideaki Arima. (2016). Quality of Life Measured with Eq-5d in Patients with Major Depressive Disorder in Japan. Value in Health. 19(7). A842–A843. 1 indexed citations
8.
Arima, Hideaki, et al.. (2006). The effect of the development of an emergency transfer system on the travel time to tertiary care centres in Japan.. International Journal of Health Geographics. 5(1). 25–25. 9 indexed citations
9.
Nishimura, Yumiko, et al.. (2005). Association between Lifestyle-Disease Diagnosis or Risk Status and Medical Care Costs in a Japanese Corporation. American Journal of Health Promotion. 19(3_suppl). 249–254. 6 indexed citations
10.
Arima, Hideaki, et al.. (2003). A novel process technology and cell structure for mega bit EEPROM. 420–423.
12.
Ajika, N., et al.. (2002). A 5 volt only 16M bit flash EEPROM cell with a simple stacked gate structure. 115–118. 9 indexed citations
13.
Yamada, Manabu, et al.. (1997). High-definition image processing system for FE-SEM. Journal of Electron Microscopy. 46(4). 311–314. 4 indexed citations
14.
Arima, Hideaki, et al.. (1991). Optimization of Nitridation and Reoxidation Conditions for EEPROM^* Tunneling Dielectric. Japanese Journal of Applied Physics. 30(3). 1 indexed citations
15.
Arima, Hideaki, et al.. (1991). Optimization of Nitridation and Reoxidation Conditions for an EEPROM* Tunneling Dielectric. Japanese Journal of Applied Physics. 30(3A). L398–L398. 3 indexed citations
16.
Ajika, N., et al.. (1990). A High Density High Performance Cell for 4M Bit Full Feature EEPROM. 1 indexed citations
17.
Terada, Yasushi, K. Kobayashi, Toshinori Nakayama, et al.. (1989). 120-ns 128 K*8-bit/64 K*16-bit CMOS EEPROMs. IEEE Journal of Solid-State Circuits. 24(5). 1244–1249. 2 indexed citations
18.
Kobayashi, Kazuo, et al.. (1988). 5V only 1 Tr. 256K EEPROM with page mode erase. 81–82.
19.
Terada, Yasushi, K. Kobayashi, Toshinori Nakayama, Hideaki Arima, & T. Yoshihara. (1988). A new architecture for the NVRAM-an EEPROM backed-up dynamic RAM. IEEE Journal of Solid-State Circuits. 23(1). 86–90. 5 indexed citations
20.
Arima, Hideaki, et al.. (1986). Electron beam testing of VLSI circuits assisted by focused ion beam etching. Microelectronic Engineering. 4(2). 107–120. 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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