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.
Image-sensor-based visible light communication for automotive applications
2014311 citationsTakaya Yamazato, Hiraku Okada et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Shintaro Arai'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 Shintaro Arai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shintaro Arai more than expected).
This network shows the impact of papers produced by Shintaro Arai. 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 Shintaro Arai. The network helps show where Shintaro Arai may publish in the future.
Co-authorship network of co-authors of Shintaro Arai
This figure shows the co-authorship network connecting the top 25 collaborators of Shintaro Arai.
A scholar is included among the top collaborators of Shintaro Arai 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 Shintaro Arai. Shintaro Arai is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yamazato, Takaya, et al.. (2019). An analysis of a noise-aided linearization range on a receiver with one-bit analog-to-digital converter. IEICE Technical Report; IEICE Tech. Rep.. 119(176). 19–24.1 indexed citations
Ohmura, A., Takaya Yamazato, Hiraku Okada, et al.. (2014). Distance Estimation Scheme for Integrated V2I-VLC in Driving Vehicle. 113(433). 49–54.1 indexed citations
12.
Yamazato, Takaya, et al.. (2013). Utilization of Spatio-Temporal Image for LED Array Acquisition in Road to Vehicle Visible Light Communication.11 indexed citations
13.
Ohmura, A., Takaya Yamazato, Shintaro Arai, et al.. (2013). Accuracy Improvement by Phase Only Correlation for Distance Estimation Scheme for Visible Light Communications Using an LED Array and a High-Speed Camera.10 indexed citations
14.
Ohmura, A., Takaya Yamazato, Shintaro Arai, et al.. (2013). Accuracy Improvement by POC for Distance Estimation Scheme for VLC Using an LED Array and a High-Speed Camera. 96(12). 1365–1368.2 indexed citations
15.
Dang, Chaobin, Shintaro Arai, & Eiji Hihara. (2012). Numerical simulation of two-phase flow pattern of supercritical carbon dioxide with PAG-type lubricating oil in gas cooler.. Purdue e-Pubs (Purdue University System).4 indexed citations
16.
Yamazato, Takaya, et al.. (2011). Robust Receiver Design for Road-to-vehicle Communication System Using Led Array and High-speed Camera.7 indexed citations
Arai, Shintaro, et al.. (2008). Feasible Study of Road-to-Vehicle Communication System Using LED Array and High-Speed Camera.27 indexed citations
19.
Arai, Shintaro & Yoshifumi Nishio. (2004). Research on noncoherent detection for chaos shift keying.2 indexed citations
20.
Arai, Shintaro, Hideaki Kamata, Hideyuki Okano, et al.. (1978). [A case of diffuse pulmonary hamartoangiomyomatosis with recurrent spontaneous pneumothorax (author's transl)].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 16(1). 19–25.1 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.