Takeshi Ikawa

36 total papers · 764 total citations
31 papers, 581 citations indexed

About

Takeshi Ikawa is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Takeshi Ikawa has authored 31 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Geophysics, 9 papers in Artificial Intelligence and 2 papers in Civil and Structural Engineering. Recurrent topics in Takeshi Ikawa's work include earthquake and tectonic studies (25 papers), Seismic Waves and Analysis (14 papers) and Geological and Geochemical Analysis (11 papers). Takeshi Ikawa is often cited by papers focused on earthquake and tectonic studies (25 papers), Seismic Waves and Analysis (14 papers) and Geological and Geochemical Analysis (11 papers). Takeshi Ikawa collaborates with scholars based in Japan, United States and Canada. Takeshi Ikawa's co-authors include Tanio Ito, Naoshi Hirata, Hiroshi Sato, Takaya Iwasaki, Susumu Abe, Makoto Matsubara, Satoshi Yamakita, T. Kawanaka, Gaku Kimura and Takuya Maeda and has published in prestigious journals such as Science, Geophysical Research Letters and Tectonophysics.

In The Last Decade

Takeshi Ikawa

30 papers receiving 535 citations

Author Peers

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

Author						Papers	Cites
Takeshi Ikawa	550	64	61	28	23	31	581
Tanio Ito	598 1.1×	80 1.3×	87 1.4×	40 1.4×	18 0.8×	41	633
Sabrina Metzger	583 1.1×	63 1.0×	76 1.2×	13 0.5×	28 1.2×	32	646
Luigi Passarelli	569 1.0×	105 1.6×	65 1.1×	34 1.2×	11 0.5×	29	635
T. G. Hildenbrand	516 0.9×	104 1.6×	46 0.8×	42 1.5×	28 1.2×	37	560
J. Dorel	525 1.0×	55 0.9×	46 0.8×	12 0.4×	27 1.2×	15	550
Jean Letort	488 0.9×	85 1.3×	78 1.3×	26 0.9×	52 2.3×	28	562
R. J. Beavan	471 0.9×	74 1.2×	79 1.3×	12 0.4×	18 0.8×	15	537
John Cipar	590 1.1×	63 1.0×	35 0.6×	22 0.8×	20 0.9×	28	678
Thomas Plenefisch	596 1.1×	41 0.6×	38 0.6×	15 0.5×	21 0.9×	25	622
Noriko Tsumura	603 1.1×	52 0.8×	31 0.5×	19 0.7×	14 0.6×	27	626

Countries citing papers authored by Takeshi Ikawa

Since Specialization

Citations

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

Fields of papers citing papers by Takeshi Ikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Ikawa

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