Ken Kihara

637 total citations
54 papers, 442 citations indexed

About

Ken Kihara is a scholar working on Cognitive Neuroscience, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ken Kihara has authored 54 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 16 papers in Social Psychology and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ken Kihara's work include Visual perception and processing mechanisms (25 papers), Neural and Behavioral Psychology Studies (16 papers) and Neural dynamics and brain function (11 papers). Ken Kihara is often cited by papers focused on Visual perception and processing mechanisms (25 papers), Neural and Behavioral Psychology Studies (16 papers) and Neural dynamics and brain function (11 papers). Ken Kihara collaborates with scholars based in Japan, Germany and Canada. Ken Kihara's co-authors include Yuji Takeda, Jun‐ichiro Kawahara, Yanbin Wu, Satoshi Kitazaki, T. Sato, Motoyuki Akamatsu, Sakuichi Ohtsuka, Hirohito M. Kondo, Naoyuki Osaka and Kunihiro Hasegawa and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

Ken Kihara

51 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Kihara Japan 11 224 176 84 83 63 54 442
Kristen L. Macuga United States 12 283 1.3× 250 1.4× 43 0.5× 72 0.9× 44 0.7× 24 503
Christoph Strauch Netherlands 11 272 1.2× 124 0.7× 73 0.9× 41 0.5× 39 0.6× 45 443
Nam-Gyoon Kim South Korea 14 362 1.6× 138 0.8× 43 0.5× 32 0.4× 38 0.6× 44 513
Bernard Baumberger Switzerland 11 232 1.0× 88 0.5× 26 0.3× 41 0.5× 40 0.6× 24 425
Sven Ohl Germany 12 355 1.6× 80 0.5× 52 0.6× 24 0.3× 12 0.2× 27 433
Dae Shik Kim United States 11 153 0.7× 74 0.4× 16 0.2× 44 0.5× 34 0.5× 34 296
Julian Elias Reiser Germany 10 195 0.9× 121 0.7× 49 0.6× 19 0.2× 23 0.4× 20 302
Robin Baurès France 10 259 1.2× 91 0.5× 31 0.4× 22 0.3× 15 0.2× 26 320
Prashant Arvind Pala France 10 133 0.6× 89 0.5× 50 0.6× 30 0.4× 123 2.0× 13 350
Thomas Kuyk United States 15 287 1.3× 83 0.5× 20 0.2× 30 0.4× 20 0.3× 39 619

Countries citing papers authored by Ken Kihara

Since Specialization
Citations

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

Fields of papers citing papers by Ken Kihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Kihara

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Kihara. A scholar is included among the top collaborators of Ken Kihara 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 Ken Kihara. Ken Kihara 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.
Wu, Yanbin, Linda Miller, Ken Kihara, et al.. (2025). Ready to transition? Strategies to bring drivers back into the loop upon requests to intervene in conditionally automated driving. Transportation Research Part F Traffic Psychology and Behaviour. 110. 163–181. 1 indexed citations
2.
Konishi, Naoki, et al.. (2025). Psychological richness as a distinct dimension of well-being: Links to mental, social, and physical health. PLoS ONE. 20(6). e0326528–e0326528.
3.
Wu, Yanbin, Kunihiro Hasegawa, & Ken Kihara. (2025). How to request drivers to prepare for takeovers during automated driving. Transportation Research Part F Traffic Psychology and Behaviour. 109. 938–950. 1 indexed citations
4.
Kimura, Motohiro, et al.. (2025). Pathways from eudaimonic and hedonic motives to life satisfaction via response style. Scientific Reports. 15(1). 11282–11282. 2 indexed citations
5.
Hasegawa, Kunihiro, Yanbin Wu, & Ken Kihara. (2024). Refining two-stage transition procedures for planned transitions in conditionally automated driving. Transportation Research Part F Traffic Psychology and Behaviour. 107. 1062–1070. 3 indexed citations
6.
Hasegawa, Kunihiro, Yanbin Wu, & Ken Kihara. (2024). Two-stage transition procedure reduces potential hazards on planned transitions in automated driving. Transportation Research Part F Traffic Psychology and Behaviour. 107. 924–936. 3 indexed citations
7.
Kaida, Kosuke, et al.. (2023). The function of REM and NREM sleep on memory distortion and consolidation. Neurobiology of Learning and Memory. 204. 107811–107811. 4 indexed citations
8.
Wu, Yanbin, Naoki Konishi, Ken Kihara, et al.. (2023). Passenger's Preference on Internal Interface Design in Automated Buses: A Survey. 162–167. 1 indexed citations
9.
Wu, Yanbin, et al.. (2023). Following car reduces motorcycles’ size-arrival effect: A study using online experiments. Applied Ergonomics. 114. 104153–104153. 2 indexed citations
10.
Kondo, Hirohito M., et al.. (2023). Prefrontal GABA and glutamate–glutamine levels affect sustained attention. Cerebral Cortex. 33(19). 10441–10452. 1 indexed citations
11.
Wu, Yanbin, Ken Kihara, Kunihiro Hasegawa, et al.. (2020). Age-related differences in effects of non-driving related tasks on takeover performance in automated driving. Journal of Safety Research. 72. 231–238. 60 indexed citations
12.
Wu, Yanbin, Ken Kihara, Yuji Takeda, et al.. (2019). Effects of scheduled manual driving on drowsiness and response to take over request: A simulator study towards understanding drivers in automated driving. Accident Analysis & Prevention. 124. 202–209. 53 indexed citations
13.
Kihara, Ken, et al.. (2015). Footsteps illusion in 3D and individual differences in stereoscopic vision. IEICE Technical Report; IEICE Tech. Rep.. 115(216). 33–36. 1 indexed citations
14.
15.
Kihara, Ken, et al.. (2013). Relationship between the Intensity of the Division and Visibility in Weather Forecast Figures. 37(4). 107–110.
16.
Ohtsuka, Sakuichi, et al.. (2013). [Paper] Effect of Human-body Swing on Visibility of Scrolled Texts with Direction Dependency. ITE Transactions on Media Technology and Applications. 1(4). 263–270. 1 indexed citations
17.
Kihara, Ken, Jun‐ichiro Kawahara, & Yuji Takeda. (2010). Usability of liquid crystal displays for research in the temporal characteristics of perception and attention. Behavior Research Methods. 42(4). 1105–1113. 13 indexed citations
18.
Kihara, Ken, et al.. (2010). Distractor devaluation effect in the attentional blink: Direct evidence for distractor inhibition.. Journal of Experimental Psychology Human Perception & Performance. 37(1). 168–179. 20 indexed citations
19.
Kihara, Ken & Yuji Takeda. (2010). Time course of the integration of spatial frequency-based information in natural scenes. Vision Research. 50(21). 2158–2162. 23 indexed citations
20.
Kihara, Ken, et al.. (2007). Recovery from object substitution masking induced by transient suppression of visual motion processing: A repetitive transcranial magnetic stimulation study.. Journal of Experimental Psychology Human Perception & Performance. 33(6). 1495–1503. 10 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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