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.
Triaxial compressive properties of artificial methane-hydrate-bearing sediment
2011326 citationsKuniyuki Miyazaki, Akira Masui 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 Norio Tenma'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 Norio Tenma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norio Tenma more than expected).
This network shows the impact of papers produced by Norio Tenma. 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 Norio Tenma. The network helps show where Norio Tenma may publish in the future.
Co-authorship network of co-authors of Norio Tenma
This figure shows the co-authorship network connecting the top 25 collaborators of Norio Tenma.
A scholar is included among the top collaborators of Norio Tenma 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 Norio Tenma. Norio Tenma is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Miyazaki, Kuniyuki, et al.. (2014). Sand Grain Size Dependence of Viscoelastic Properties of Artificial Methane-Hydrate-Bearing Sediment Sample. The Twenty-fourth International Ocean and Polar Engineering Conference.1 indexed citations
7.
Yoneda, Jun, Akira Masui, Masato Kida, et al.. (2014). Investigation of mechanical properties of hydrate-bearing pressure core sediments recovered from the Eastern Nankai Trough using transparent acrylic cell triaxial testing system (TACTT-system). 2014 AGU Fall Meeting. 2014.1 indexed citations
8.
Yoneda, Jun, et al.. (2012). Frictional Strength Between Casing And Cement Under Confining Pressure. The Twenty-second International Offshore and Polar Engineering Conference. 77–82.7 indexed citations
9.
Miyazaki, Kuniyuki, Norio Tenma, Kazuo Aoki, Yasuhide Sakamoto, & Tsutomu Yamaguchi. (2012). Loading-Rate Dependence of Triaxial Compressive Strength of Artificial Methane-Hydrate-Bearing Sediment Containing Fine Fraction. The Twenty-second International Offshore and Polar Engineering Conference.6 indexed citations
10.
Minagawa, Hideki, Kosuke Egawa, Yasuhide Sakamoto, et al.. (2012). Characterization of Hydraulic Permeability of Methane-Hydrate-Bearing Sediment Estimated By T2-Distribution of Proton NMR.. The Twenty-second International Offshore and Polar Engineering Conference.8 indexed citations
11.
Miyazaki, Kuniyuki, Norio Tenma, Yasuhide Sakamoto, Tsutomu Yamaguchi, & Seisuke OKUBO. (2012). Effects of Methane Hydrate Saturation And Confining Pressure On Strain-Rate Dependence of Artificial Methane-Hydrate-Bearing Sediment In Triaxial Compression Test. International Journal of Offshore and Polar Engineering. 22(1).9 indexed citations
12.
Miyazaki, Kuniyuki, Norio Tenma, Kazuo Aoki, Yasuhide Sakamoto, & Tsutomu Yamaguchi. (2011). Effects of Confining Pressure On Mechanical Properties of Artificial Methane-Hydrate-Bearing Sediment In Triaxial Compression Test. International Journal of Offshore and Polar Engineering. 21(2).22 indexed citations
13.
Minagawa, Hideki, Kosuke Egawa, Yasuhide Sakamoto, et al.. (2011). Characterization of Hydraulic Permeability And Pore-Size Distribution of Methane Hydrate-Bearing Sediment Using Proton Nuclear Magnetic Resonance Measurement. International Journal of Offshore and Polar Engineering. 22(4). 306–313.24 indexed citations
14.
Miyazaki, Kuniyuki, Yasuhide Sakamoto, Norio Tenma, et al.. (2010). Effect of Confining Pressure On Mechanical Properties of Artificial Methane Hydrate Bearing Sediments.4 indexed citations
15.
Sakamoto, Yasuhide, Kuniyuki Miyazaki, Norio Tenma, et al.. (2009). Numerical Study On Dissociation of Methane Hydrate And Gas Production Behavior In Laboratory-Scale Experiments For Depressurization: Part 3-Numerical Study On Estimation of Permeability In Methane Hydrate Reservoir. International Journal of Offshore and Polar Engineering. 19(2). 124–134.36 indexed citations
16.
Sakamoto, Yasuhide, Takeshi Komai, Taro Kawamura, et al.. (2007). Modification of permeability model and history matching of laboratory-scale experiment for dissociation process of methane hydrate: Part 2 - Numerical study for estimation of permeability in methane hydrate reservoir. International Journal of Offshore and Polar Engineering. 17(1). 57–66.16 indexed citations
17.
Sakamoto, Yasuhide, Takeshi Komai, Taro Kawamura, et al.. (2007). Laboratory-scale Experiment of Methane Hydrate Dissociation By Hot-water Injection And Numerical Analysis For Permeability Estimation In Reservoir: Part 1- Numerical Study For Estimation of Permeability In Methane Hydrate Reservoir. International Journal of Offshore and Polar Engineering. 17(1). 47–56.49 indexed citations
Pawar, Rajesh, et al.. (2005). Numerical simulation of laboratory experiments on methane hydrate dissociation. 2005. 379–385.7 indexed citations
20.
Tenma, Norio, et al.. (1995). Characterization of Forced Flow In a Deep Fractured Reservoir At the Hijiori Hot Dry Rock Test Site, Yamagata, Japan.3 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
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Rankless may not fully capture the entirety of a scholar's output or impact.