T. Segawa

16 total papers · 597 total citations
6 papers, 421 citations indexed

About

T. Segawa is a scholar working on Atmospheric Science, Global and Planetary Change and Molecular Biology. According to data from OpenAlex, T. Segawa has authored 6 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atmospheric Science, 2 papers in Global and Planetary Change and 1 paper in Molecular Biology. Recurrent topics in T. Segawa's work include Geology and Paleoclimatology Research (3 papers), Cryospheric studies and observations (2 papers) and Meteorological Phenomena and Simulations (2 papers). T. Segawa is often cited by papers focused on Geology and Paleoclimatology Research (3 papers), Cryospheric studies and observations (2 papers) and Meteorological Phenomena and Simulations (2 papers). T. Segawa collaborates with scholars based in Japan and United States. T. Segawa's co-authors include Ayako Abe‐Ouchi, Fuyuki Saito, Kohei Aranami, Junichi Ishida, Kazuo Saito, Axel Timmermann, O. Elison Timm, T. Nishimura, Seita Emori and Hiroyasu Hasumi and has published in prestigious journals such as Geophysical Research Letters, Journal of the Meteorological Society of Japan Ser II and Annals of Glaciology.

In The Last Decade

T. Segawa

5 papers receiving 409 citations

Author Peers

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

Author Last Decade Papers Cites
T. Segawa 371 231 69 46 35 6 421
J. J. Taljaard 370 1.0× 342 1.5× 127 1.8× 10 0.2× 30 0.9× 12 467
Veronika Valler 373 1.0× 291 1.3× 41 0.6× 17 0.4× 37 1.1× 14 462
Katherine J. Hoag 364 1.0× 288 1.2× 22 0.3× 17 0.4× 66 1.9× 12 452
Uri Stein 357 1.0× 317 1.4× 35 0.5× 14 0.3× 20 0.6× 6 451
J. R. Sutton 344 0.9× 123 0.5× 106 1.5× 15 0.3× 87 2.5× 11 455
Edwin Pak 183 0.5× 97 0.4× 12 0.2× 40 0.9× 103 2.9× 12 470
E. Richard Toracinta 398 1.1× 239 1.0× 23 0.3× 31 0.7× 34 1.0× 10 456
A. Sirevaag 450 1.2× 244 1.1× 132 1.9× 55 1.2× 15 0.4× 10 491
Claude Labine 449 1.2× 101 0.4× 46 0.7× 16 0.3× 28 0.8× 7 493
Phil J. Englehart 291 0.8× 351 1.5× 54 0.8× 8 0.2× 38 1.1× 12 419

Countries citing papers authored by T. Segawa

Since Specialization
Citations

This map shows the geographic impact of T. Segawa'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 T. Segawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Segawa more than expected).

Fields of papers citing papers by T. Segawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Segawa

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