Hideaki Arima

558 citations
37 papers · 305 · h-index 10

Impact in

Papers in

Hideaki Arima

33 papers receiving 292 citations

Peers

Hideaki Arima
Comparison fields: 5 of 64
  • Hardware and Architecture 19
  • General Health Professions 70
  • Electrical and Electronic Engineering 139
  • Applied Psychology 11
  • Social Psychology 40
Replace Jean Audet with:
Jean Audet United States
M. P. Zakrzewski United States
Wei Qian China
Kit T. Y. Chan Hong Kong
Matthias Rose Netherlands
Sohail Ahmad Malaysia
Hyun‐Sun Kim South Korea
Jan Pavelka Czechia
Tzu‐I Tsai Taiwan
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Citations per field
00.5×3.8×
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Citations per year

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-authors

The 25 scholars most cited alongside Hideaki Arima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hideaki Arima Line = papers co-authored together Hideaki Arima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201852
2 202038
3 199120
4 199220
5 198419
6 199115
7 200213
8 199213
9 201712
10 201811
11 20069
12 20029
13 19918
14 20198
15 20197
16 19866
17 20056
18 19856
19 19885
20
The prevalence of co-morbid depression among employees with type 2 diabetes in a Japanese corporation: a descriptive study using an integrated health database.
20075

About Hideaki Arima

Hideaki Arima is a scholar working on Electrical and Electronic Engineering, General Health Professions, Computer Networks and Communications, Social Psychology and Hardware and Architecture, having authored 37 papers that have together received 305 indexed citations. Recurring topics across this work include Semiconductor materials and devices (16 papers), Workplace Health and Well-being (9 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers), Advanced Data Storage Technologies (8 papers), Advanced Memory and Neural Computing (6 papers), Cellular Automata and Applications (3 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers) and VLSI and Analog Circuit Testing (3 papers). The work is most often cited by research in Hardware and Architecture (19 citations), General Health Professions (70 citations), Electrical and Electronic Engineering (139 citations), Applied Psychology (11 citations) and Social Psychology (40 citations). Hideaki Arima has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Takashi Matsukawa, Akihito Shimazu, Yuka Kobayashi, Kotaro Imamura, Norito Kawakami, Asuka Sakuraya, Hisashi Eguchi, Kazuhiro Watanabe, Emiko Ando and Akizumi Tsutsumi. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Japanese Journal of Applied Physics, BMJ Open, Frontiers in Psychology and Journal of The Electrochemical Society.

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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