Mamoru Hyodo

70 total papers · 666 total citations
36 papers, 427 citations indexed

About

Mamoru Hyodo is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Mamoru Hyodo has authored 36 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Geophysics, 10 papers in Artificial Intelligence and 3 papers in Civil and Structural Engineering. Recurrent topics in Mamoru Hyodo's work include earthquake and tectonic studies (32 papers), High-pressure geophysics and materials (16 papers) and Geological and Geochemical Analysis (12 papers). Mamoru Hyodo is often cited by papers focused on earthquake and tectonic studies (32 papers), High-pressure geophysics and materials (16 papers) and Geological and Geochemical Analysis (12 papers). Mamoru Hyodo collaborates with scholars based in Japan, United States and South Korea. Mamoru Hyodo's co-authors include Takane Hori, Ryoko Nakata, Kazuro Hirahara, Yoshiyuki Kaneda, Toshitaka Baba, Tsuyoshi Ichimura, Ryoichiro Agata, Sylvain Barbot, Takeshi Iinuma and Kohei Fujita and has published in prestigious journals such as Nature Communications, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Mamoru Hyodo

36 papers receiving 406 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mamoru Hyodo	359	72	29	26	23	36	427
G. Romeo	222 0.6×	46 0.6×	15 0.5×	45 1.7×	16 0.7×	26	396
Martina Ulvrová	342 1.0×	28 0.4×	115 4.0×	30 1.2×	14 0.6×	18	478
Nafi Toksöz	251 0.7×	30 0.4×	19 0.7×	48 1.8×	20 0.9×	15	388
R. L. Kovach	233 0.6×	28 0.4×	53 1.8×	14 0.5×	25 1.1×	31	405
Jian Zhang	239 0.7×	79 1.1×	60 2.1×	11 0.4×	8 0.3×	20	420
Anne Watkinson	315 0.9×	47 0.7×	46 1.6×	10 0.4×	11 0.5×	50	476
Chiaki Goto	149 0.4×	20 0.3×	69 2.4×	85 3.3×	51 2.2×	40	378
Oliver D. Lamb	372 1.0×	68 0.9×	70 2.4×	5 0.2×	11 0.5×	35	437
J. Cl. De Bremaecker	292 0.8×	22 0.3×	21 0.7×	49 1.9×	24 1.0×	44	468
Stuart Weinstein	374 1.0×	107 1.5×	26 0.9×	13 0.5×	13 0.6×	31	423

Countries citing papers authored by Mamoru Hyodo

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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