Masaki Kondo

1.2k citations
86 papers · 737 indexed · h-index 15

Masaki Kondo

79 papers receiving 707 citations

Peers

Masaki Kondo
Comparison fields: 5 of 110
  • Neurology 120
  • Sensory Systems 30
  • Neurology 84
  • Automotive Engineering 62
  • Psychiatry and Mental health 75
Replace Petri Savolainen with:
Petri Savolainen Finland
Mengxing Wang China
Kayako Matsuo Japan
Matthias Lochmann Germany
Georg Neubauer Austria
D. Chapuis Switzerland
Alf Inge Smievoll Norway
Jinhuan Zhang China
Yasuhide Nakayama Japan
Soon-Cheol Chung South Korea
Masaki Kondo relative to Petri Savolainen Finland Petri Savolainen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Masaki Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Masaki Kondo, 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 Masaki Kondo Line = papers co-authored together Masaki Kondo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20220
3 202221
4 20223
5 20220
6 20219
7 20215
8 202016
9 202027
10 201711
11 201620
12 201513
13 200823
14 200878
15
Robust Device Design in FinFET SRAM for hp22nm Technology Node
20052
16 20004
17
Model-adaptable parameter extraction system for MOSFET models
19953
18 19921
19
8 percent efficiency a-SiC:H/a-Si:H heterojunction solar cells
19821
20
Design parameters of high efficiency a-SiC:H/a-Si:H heterojunction solar cells
19824

About Masaki Kondo

Masaki Kondo is a scholar working on Neurology, Hardware and Architecture, Psychiatry and Mental health, Clinical Psychology and Sensory Systems, having authored 86 papers that have together received 737 indexed citations. Recurring topics across this work include Semiconductor materials and devices (22 papers), Advancements in Semiconductor Devices and Circuit Design (17 papers), Integrated Circuits and Semiconductor Failure Analysis (9 papers), Silicon Carbide Semiconductor Technologies (7 papers), Advanced Memory and Neural Computing (6 papers), Silicon and Solar Cell Technologies (6 papers), Vestibular and auditory disorders (6 papers) and Mental Health Research Topics (5 papers). The work is most often cited by research in Neurology (120 citations), Sensory Systems (30 citations), Neurology (84 citations), Automotive Engineering (62 citations) and Psychiatry and Mental health (75 citations). Masaki Kondo has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Tatsuo Akechi, Masanori Nakagawa, Kei Yamada, Toshiki Mizuno, Makoto Fujishima, Yohei Oda, Kentaro Akazawa, Meiho Nakayama, Nagato Kuriyama and Takashi Kasai. Their work appears in journals such as Japanese Journal of Applied Physics, IEEE Transactions on Electron Devices, Asia-Pacific Psychiatry, Journal of Contextual Behavioral Science and IEEE Journal of Solid-State Circuits.

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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