Seok Lew

786 citations
15 papers · 570 indexed · h-index 11

Impact in

  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies
    • Vestibular and auditory disorders
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function

Papers in

Seok Lew

15 papers receiving 562 citations

Peers

Seok Lew
Comparison fields: 5 of 83
  • Neurology 166
  • Cognitive Neuroscience 288
  • Molecular Medicine 39
  • Radiology, Nuclear Medicine and Imaging 125
  • Bioengineering 22
Replace Guojun Zhang with:
Guojun Zhang China
P Tallgren Finland
Kyoko Fujimoto United States
Naresh C. Bhavaraju United States
C. González United States
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Seok Lew relative to Guojun Zhang China Guojun Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Seok Lew

Since Specialization
Citations

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

Fields of papers citing papers by Seok Lew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Seok Lew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Seok Lew Line = papers co-authored together Seok Lew links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20201
2 201816
3 20179
4 201656
5 201610
6 2014154
7 201336
8 201382
9 200965
10 200920
11 200833
12 200711
13
Influence of local and remote white matter conductivity anisotropy for a thalamic source on EEG/MEG field and return current computation
200512
14 200264
15 19891

About Seok Lew

Seok Lew is a scholar working on Cognitive Neuroscience, Bioengineering, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Neurology, having authored 15 papers that have together received 570 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Advanced MRI Techniques and Applications (5 papers), Neonatal and fetal brain pathology (4 papers), Electrical and Bioimpedance Tomography (3 papers), Neural dynamics and brain function (3 papers), Atomic and Subatomic Physics Research (2 papers), Fetal and Pediatric Neurological Disorders (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Neurology (166 citations), Cognitive Neuroscience (288 citations), Molecular Medicine (39 citations), Radiology, Nuclear Medicine and Imaging (125 citations) and Bioengineering (22 citations). Seok Lew has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Carsten H. Wolters, Rob MacLeod, Dick F. Stegeman, Thom F. Oostendorp, Benjamin Lanfer, Arno M. Janssen, Sumientra Rampersad, Felix Lucka, Ümit Aydın and Matti Hämäläinen. Their work appears in journals such as Clinical Neurophysiology, Applied Numerical Mathematics, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Review of Scientific Instruments.

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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