Dai-Seg Bai

22 total papers · 2.4k total citations
18 papers, 1.6k citations indexed

About

Dai-Seg Bai is a scholar working on Psychiatry and Mental health, Epidemiology and Neurology. According to data from OpenAlex, Dai-Seg Bai has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Psychiatry and Mental health, 6 papers in Epidemiology and 5 papers in Neurology. Recurrent topics in Dai-Seg Bai's work include Cerebral Palsy and Movement Disorders (5 papers), Traumatic Brain Injury Research (5 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). Dai-Seg Bai is often cited by papers focused on Cerebral Palsy and Movement Disorders (5 papers), Traumatic Brain Injury Research (5 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). Dai-Seg Bai collaborates with scholars based in South Korea and United States. Dai-Seg Bai's co-authors include Bon‐Hoon Koo, Hye-Geum Kim, Young Hwan Lee, Eun‐Jin Cheon, Sung Ho Jang, Joon Sakong, Su Min Son, Woo Mok Byun, Chul Hoon Chang and Jun Lee and has published in prestigious journals such as Annals of Neurology, Journal of the Neurological Sciences and Journal of Korean Medical Science.

In The Last Decade

Dai-Seg Bai

16 papers receiving 1.6k citations

Hit Papers

Stress and Heart Rate Var... 2018 2026 2020 2023 2018 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Dai-Seg Bai 690 329 276 254 223 18 1.6k
Eun‐Jin Cheon 715 1.0× 379 1.2× 263 1.0× 317 1.2× 241 1.1× 35 1.6k
Hye-Geum Kim 696 1.0× 353 1.1× 273 1.0× 264 1.0× 237 1.1× 33 1.6k
H. Rauch 645 0.9× 186 0.6× 282 1.0× 255 1.0× 116 0.5× 58 2.0k
Peter Lang 409 0.6× 416 1.3× 72 0.3× 519 2.0× 256 1.1× 21 1.7k
Young Hwan Lee 705 1.0× 324 1.0× 279 1.0× 239 0.9× 227 1.0× 50 1.7k
Esther Sternberg 595 0.9× 256 0.8× 184 0.7× 147 0.6× 228 1.0× 54 2.1k
Bon‐Hoon Koo 713 1.0× 441 1.3× 273 1.0× 360 1.4× 253 1.1× 70 1.8k
Yuri Masaoka 288 0.4× 261 0.8× 228 0.8× 564 2.2× 173 0.8× 63 1.4k
Jani Penttilä 576 0.8× 151 0.5× 148 0.5× 341 1.3× 46 0.2× 28 1.4k
Melissa E. Garcia 556 0.8× 137 0.4× 105 0.4× 134 0.5× 69 0.3× 24 1.8k

Countries citing papers authored by Dai-Seg Bai

Since Specialization
Citations

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

Fields of papers citing papers by Dai-Seg Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dai-Seg Bai. 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 Dai-Seg Bai. The network helps show where Dai-Seg Bai may publish in the future.

Co-authorship network of co-authors of Dai-Seg Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Dai-Seg Bai. A scholar is included among the top collaborators of Dai-Seg Bai 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 Dai-Seg Bai. Dai-Seg Bai 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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