Daegeun Park

85 total papers · 517 total citations
41 papers, 379 citations indexed

About

Daegeun Park is a scholar working on Biomedical Engineering, Rehabilitation and Civil and Structural Engineering. According to data from OpenAlex, Daegeun Park has authored 41 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 11 papers in Rehabilitation and 6 papers in Civil and Structural Engineering. Recurrent topics in Daegeun Park's work include Muscle activation and electromyography studies (13 papers), Stroke Rehabilitation and Recovery (11 papers) and Prosthetics and Rehabilitation Robotics (11 papers). Daegeun Park is often cited by papers focused on Muscle activation and electromyography studies (13 papers), Stroke Rehabilitation and Recovery (11 papers) and Prosthetics and Rehabilitation Robotics (11 papers). Daegeun Park collaborates with scholars based in South Korea, Italy and China. Daegeun Park's co-authors include Kyu‐Jin Cho, Yong-Jai Park, Tae Myung Huh, Yoon‐Ho Cho, Darwin G. Caldwell, Jesús Ortiz, Christian Di Natali, Hyeran Kim, Won‐Seok Kim and Yu-Sun Min and has published in prestigious journals such as PLoS ONE, Construction and Building Materials and Sustainability.

In The Last Decade

Daegeun Park

34 papers receiving 362 citations

Author Peers

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

Author						Papers	Cites
Daegeun Park	197	84	71	62	52	41	379
Bin Ren	93 0.5×	31 0.4×	20 0.3×	36 0.6×	22 0.4×	78	383
Alexandre Girard	253 1.3×	43 0.5×	80 1.1×	19 0.3×	10 0.2×	28	404
Jianbin Liu	233 1.2×	13 0.2×	26 0.4×	19 0.3×	8 0.2×	61	406
Giovanni Gerardo Muscolo	217 1.1×	12 0.1×	17 0.2×	46 0.7×	16 0.3×	48	353
Zhenhua Song	36 0.2×	6 0.1×	77 1.1×	67 1.1×	44 0.8×	23	362
Kazuhisa Ito	140 0.7×	20 0.2×	19 0.3×	15 0.2×	5 0.1×	72	369
Michael J. Goodwin	111 0.6×	10 0.1×	34 0.5×	27 0.4×	4 0.1×	28	353
Mitja Trkov	252 1.3×	21 0.3×	34 0.5×	17 0.3×	1 0.0×	41	372
He Li	65 0.3×	3 0.0×	265 3.7×	19 0.3×	12 0.2×	37	445
Ekta Singla	213 1.1×	98 1.2×	7 0.1×	32 0.5×	5 0.1×	42	445

Countries citing papers authored by Daegeun Park

Since Specialization

Citations

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

Fields of papers citing papers by Daegeun Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daegeun Park

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