Mamoru Hyodo
- Geophysics top 5%
- Artificial Intelligence
- Atmospheric Science
- Civil and Structural Engineering
- Oceanography
- Co-authors
- Takane HoriRyoko NakataKazuro HiraharaYoshiyuki KanedaToshitaka BabaTsuyoshi IchimuraRyoichiro AgataSylvain Barbot
- Topics
- earthquake and tectonic studies (32 papers)High-pressure geophysics and materials (16 papers)Geological and Geochemical Analysis (12 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Mamoru Hyodo
36 papers receiving 412 citations
Peers
Comparison fields: 5 of 49
- Geophysics 365
- Artificial Intelligence 74
- Atmospheric Science 29
- Civil and Structural Engineering 26
- Oceanography 23
Countries citing papers authored by Mamoru Hyodo
This map shows the geographic impact of Mamoru Hyodo'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 Mamoru Hyodo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamoru Hyodo more than expected).
Fields of papers citing papers by Mamoru Hyodo
This network shows the impact of papers produced by Mamoru Hyodo. 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 Mamoru Hyodo. The network helps show where Mamoru Hyodo may publish in the future.
Co-authorship network of co-authors of Mamoru Hyodo
This figure shows the co-authorship network connecting the top 25 collaborators of Mamoru Hyodo. A scholar is included among the top collaborators of Mamoru Hyodo 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 Mamoru Hyodo. Mamoru Hyodo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 70 | |
| 3 | 19 | |
| 4 | 16 | |
| 5 | 17 | |
| 6 | 18 | |
| 7 | Earthquake generation cycles and tsunami simulations providing possible scenarios for Turkey (Marmara sea) and Japan (Nankai trough and Japan trench) | 2 |
| 8 | 30 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 17 | |
| 15 | Comparative study on quasi-dynamic earthquake cycle models for the 2011 giant Tohoku earthquake | 1 |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 15 | |
| 19 | 11 | |
| 20 | ANALYTICAL PROCEDURE FOR EVALUATING PORE-WATER PRESSURE AND DEFORMATION OF SATURATED CLAY GROUND SUBJECTED TO TRAFFIC LOADS. PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON NUMERICAL METHODS IN GEOMECHANICS, 11-15 APRIL 1988, INNSBRUCK, AUSTRIA. VOLUMES 1 - 3 | 3 |
About Mamoru Hyodo
Mamoru Hyodo is a scholar working on Geophysics, Artificial Intelligence and Environmental Chemistry, having authored 36 papers that have together received 433 indexed citations. Recurring topics across this work include earthquake and tectonic studies (32 papers), High-pressure geophysics and materials (16 papers) and Geological and Geochemical Analysis (12 papers). The work is most often cited by research in Geophysics (365 citations), Artificial Intelligence (74 citations) and Environmental Chemistry (22 citations). Mamoru Hyodo has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takane Hori, Ryoko Nakata, Kazuro Hirahara, Yoshiyuki Kaneda, Toshitaka Baba, Tsuyoshi Ichimura, Ryoichiro Agata, Sylvain Barbot, Takeshi Iinuma and Kohei Fujita. Their work appears in journals such as Nature Communications, Scientific Reports and Geophysical Research Letters.
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.