Eiichi Takazawa

157 total papers · 2.4k total citations
79 papers, 1.9k citations indexed

About

Eiichi Takazawa is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Eiichi Takazawa has authored 79 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Geophysics, 21 papers in Artificial Intelligence and 10 papers in Geochemistry and Petrology. Recurrent topics in Eiichi Takazawa's work include Geological and Geochemical Analysis (64 papers), earthquake and tectonic studies (43 papers) and High-pressure geophysics and materials (34 papers). Eiichi Takazawa is often cited by papers focused on Geological and Geochemical Analysis (64 papers), earthquake and tectonic studies (43 papers) and High-pressure geophysics and materials (34 papers). Eiichi Takazawa collaborates with scholars based in Japan, United States and United Kingdom. Eiichi Takazawa's co-authors include Frederick A. Frey, M. Obata, Nobumichi Shimizu, Keiichi Satoh, Jean‐Louis Bodinier, Tim Elliott, Mohamed Zaki Khedr, Mark Rehkämper, J. Godfrey Fitton and J. Zipfel and has published in prestigious journals such as Nature, Journal of Geophysical Research Atmospheres and Journal of Applied Physics.

In The Last Decade

Eiichi Takazawa

70 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Eiichi Takazawa 1.5k 433 196 107 85 79 1.9k
Peter Tropper 1.5k 1.0× 487 1.1× 342 1.7× 145 1.4× 85 1.0× 116 2.0k
José Alberto Padrón‐Navarta 2.6k 1.7× 359 0.8× 284 1.4× 60 0.6× 136 1.6× 70 2.7k
David Dolejš 1.3k 0.9× 387 0.9× 220 1.1× 127 1.2× 114 1.3× 50 1.6k
Giada Iacono–Marziano 1.6k 1.1× 349 0.8× 154 0.8× 87 0.8× 82 1.0× 38 1.9k
Guðmundur H. Guðfinnsson 1.7k 1.1× 300 0.7× 128 0.7× 58 0.5× 67 0.8× 64 1.8k
Benita Putlitz 1.5k 1.0× 494 1.1× 160 0.8× 134 1.3× 92 1.1× 70 1.8k
Kang Chen 1.4k 0.9× 575 1.3× 401 2.0× 108 1.0× 81 1.0× 48 1.9k
Huaiwei Ni 1.8k 1.2× 355 0.8× 167 0.9× 211 2.0× 139 1.6× 66 2.2k
Émilie Janots 1.8k 1.2× 623 1.4× 547 2.8× 130 1.2× 92 1.1× 60 2.2k
Giorgio Garuti 1.2k 0.8× 381 0.9× 312 1.6× 53 0.5× 61 0.7× 77 1.7k

Countries citing papers authored by Eiichi Takazawa

Since Specialization
Citations

This map shows the geographic impact of Eiichi Takazawa'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 Eiichi Takazawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiichi Takazawa more than expected).

Fields of papers citing papers by Eiichi Takazawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eiichi Takazawa. 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 Eiichi Takazawa. The network helps show where Eiichi Takazawa may publish in the future.

Co-authorship network of co-authors of Eiichi Takazawa

This figure shows the co-authorship network connecting the top 25 collaborators of Eiichi Takazawa. A scholar is included among the top collaborators of Eiichi Takazawa 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 Eiichi Takazawa. Eiichi Takazawa 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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