Chad Trabant

94 total papers · 571 total citations
29 papers, 422 citations indexed

About

Chad Trabant is a scholar working on Geophysics, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Chad Trabant has authored 29 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Geophysics, 14 papers in Artificial Intelligence and 7 papers in Information Systems and Management. Recurrent topics in Chad Trabant's work include Seismology and Earthquake Studies (11 papers), Seismic Waves and Analysis (11 papers) and Seismic Imaging and Inversion Techniques (10 papers). Chad Trabant is often cited by papers focused on Seismology and Earthquake Studies (11 papers), Seismic Waves and Analysis (11 papers) and Seismic Imaging and Inversion Techniques (10 papers). Chad Trabant collaborates with scholars based in United States, France and Germany. Chad Trabant's co-authors include M. Bahavar, A. R. Hutko, R. C. Aster, R. T. Weekly, Simon C. Stähler, Lion Krischer, Martin van Driel, Tarje Nissen‐Meyer, Qinya Liu and Daniel Peter and has published in prestigious journals such as Geophysical Journal International, Physics of The Earth and Planetary Interiors and Eos.

In The Last Decade

Chad Trabant

24 papers receiving 400 citations

Author Peers

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

Author						Papers	Cites
Chad Trabant	387	125	23	22	16	29	422
Chi‐Chia Tang	405 1.0×	109 0.9×	22 1.0×	19 0.9×	15 0.9×	35	433
Paola Cusano	442 1.1×	151 1.2×	21 0.9×	17 0.8×	8 0.5×	35	486
E. S. Husebye	444 1.1×	86 0.7×	21 0.9×	10 0.5×	9 0.6×	21	481
Mare Yamamoto	456 1.2×	145 1.2×	56 2.4×	10 0.5×	13 0.8×	26	492
A. F. Espinosa	426 1.1×	71 0.6×	87 3.8×	59 2.7×	25 1.6×	36	482
S. W. Stewart	424 1.1×	98 0.8×	43 1.9×	12 0.5×	3 0.2×	14	454
Pablo Salazar	406 1.0×	38 0.3×	13 0.6×	39 1.8×	9 0.6×	23	471
Zhi Yin	344 0.9×	31 0.2×	12 0.5×	14 0.6×	15 0.9×	18	407
Pengcheng Wang	383 1.0×	143 1.1×	9 0.4×	15 0.7×	21 1.3×	20	452
Tameshige Tsukuda	327 0.8×	80 0.6×	19 0.8×	10 0.5×	19 1.2×	32	382

Countries citing papers authored by Chad Trabant

Since Specialization

Citations

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

Fields of papers citing papers by Chad Trabant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Trabant

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