Donsub Rim

42 total papers · 466 total citations
16 papers, 200 citations indexed

About

Donsub Rim is a scholar working on Geophysics, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Donsub Rim has authored 16 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Geophysics, 4 papers in Statistical and Nonlinear Physics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Donsub Rim's work include earthquake and tectonic studies (6 papers), Seismic Imaging and Inversion Techniques (5 papers) and Model Reduction and Neural Networks (4 papers). Donsub Rim is often cited by papers focused on earthquake and tectonic studies (6 papers), Seismic Imaging and Inversion Techniques (5 papers) and Model Reduction and Neural Networks (4 papers). Donsub Rim collaborates with scholars based in United States, Norway and South Korea. Donsub Rim's co-authors include Randall J. LeVeque, Diego Melgar, F. I. González, Guang Lin, Benjamin Peherstorfer, Kyle T. Mandli, Loyce M. Adams, Kenjiro Terada, Eun‐Jae Park and Sanghyun Hong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Mathematics of Computation.

In The Last Decade

Donsub Rim

13 papers receiving 192 citations

Author Peers

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

Author						Papers	Cites
Donsub Rim	110	55	51	41	25	16	200
Cedric A. Zala	50 0.5×	9 0.2×	21 0.4×	29 0.7×	6 0.2×	17	278
Hervé Jourdren	40 0.4×	26 0.5×	3 0.1×	81 2.0×	18 0.7×	14	217
Juan Diego Toscano	12 0.1×	83 1.5×	57 1.1×	38 0.9×	4 0.2×	10	187
Yu. I. Shokin	17 0.2×	25 0.5×	22 0.4×	70 1.7×	17 0.7×	31	214
Florian Bernard	45 0.4×	22 0.4×	36 0.7×	112 2.7×	53 2.1×	22	289
Jonas Latz	7 0.1×	54 1.0×	48 0.9×	27 0.7×	4 0.2×	17	205
Volkan Akçelik	85 0.8×	13 0.2×	11 0.2×	58 1.4×	1 0.0×	11	241
Bamdad Hosseini	4 0.0×	71 1.3×	65 1.3×	45 1.1×	12 0.5×	22	211
Jonas Šukys	10 0.1×	21 0.4×	9 0.2×	59 1.4×	16 0.6×	17	183
Ali Kashefi	13 0.1×	111 2.0×	48 0.9×	111 2.7×	7 0.3×	14	256

Countries citing papers authored by Donsub Rim

Since Specialization

Citations

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

Fields of papers citing papers by Donsub Rim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donsub Rim

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