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.
Crack classification in concrete based on acoustic emission
2010912 citationsMasayasu Ohtsu et al.Construction and Building Materialsprofile →
Citations per year, relative to Masayasu Ohtsu Masayasu Ohtsu (= 1×)
peers
Dimitrios G. Aggelis
Countries citing papers authored by Masayasu Ohtsu
Since
Specialization
Citations
This map shows the geographic impact of Masayasu Ohtsu'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 Masayasu Ohtsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayasu Ohtsu more than expected).
This network shows the impact of papers produced by Masayasu Ohtsu. 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 Masayasu Ohtsu. The network helps show where Masayasu Ohtsu may publish in the future.
Co-authorship network of co-authors of Masayasu Ohtsu
This figure shows the co-authorship network connecting the top 25 collaborators of Masayasu Ohtsu.
A scholar is included among the top collaborators of Masayasu Ohtsu 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 Masayasu Ohtsu. Masayasu Ohtsu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Suzuki, Tetsuya, et al.. (2016). Detection of Local Cracking Damage of in-Service Concrete by AE and X-ray CT. Edinburgh Research Explorer (University of Edinburgh).2 indexed citations
3.
Ohtsu, Masayasu, et al.. (2012). Visualized impact-echo technique for defects in concrete by SIBIE procedure. 7–14.
4.
Ohtsu, Masayasu, et al.. (2011). Mechanisms of Corrosion-Induced Cracks in Concrete. 2(3). 271–274.2 indexed citations
5.
Ohtsu, Masayasu, et al.. (2011). AE-SiGMA Analysis in Brazilian Test of Concrete. 2(3). 267–270.4 indexed citations
6.
Ohtsu, Masayasu, et al.. (2011). Phenomenological Model of Corrosion Process in Reinforced Concrete identified by AE. 2(3). 280–285.8 indexed citations
7.
Ohtsu, Masayasu, et al.. (2011). . Concrete Research and Technology. 22(3). 27–34.2 indexed citations
8.
Ohtsu, Masayasu & Shigenori Yuyama. (2010). AE Inspection and Monitoring for Highway and Bridge: Case Studies in Japan.
Ohtsu, Masayasu, et al.. (2003). IN SITU MONITORING AND DIAGNOSIS OF REINFORCED CONCRETE MEMBERS IN AN EXPOSURE TEST AGAINST SALT ATTACK.2 indexed citations
12.
Ohtsu, Masayasu & Mitsuhiro Shigeishi. (2003). Virtual Reality Presentation of Moment Tensor Analysis by SiGMA. Journal of the Korean Society for Nondestructive Testing. 23(3). 189–197.9 indexed citations
Yuyama, Shigenori, Takahisa Okamoto, Mitsuhiro Shigeishi, & Masayasu Ohtsu. (1995). Quantitative evaluation and visualization of cracking process in reinforced concrete by a moment tensor analysis of acoustic emission. Materials Evaluation. 53(6). 751–752.29 indexed citations
18.
Ohtsu, Masayasu. (1987). Mathematical theory of acountic emission and its application. 32(1). 1–28.5 indexed citations
Ohtsu, Masayasu & Kanji Ono. (1984). A generalized theory of acoustic emission and Green's functions in a half space. 3. 27–40.60 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.