Dae‐Shik Kim

2.8k citations
74 papers · 1.7k · h-index 19

Impact in

    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Functional Brain Connectivity Studies
    • Photoreceptor and optogenetics research
    • Neuroscience and Neuropharmacology Research
    • Neuroscience and Neural Engineering
    • Neurobiology and Insect Physiology Research

Papers in

Dae‐Shik Kim

67 papers receiving 1.6k citations

Peers

Dae‐Shik Kim
Comparison fields: 5 of 128
  • Cognitive Neuroscience 1.0k
  • Cellular and Molecular Neuroscience 670
  • Radiology, Nuclear Medicine and Imaging 217
  • Neurology 69
  • Biophysics 47
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Citations per field
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Citations per year

Countries citing papers authored by Dae‐Shik Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Shik Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Shik Kim. 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 Dae‐Shik Kim. The network helps show where Dae‐Shik Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Dae‐Shik Kim, 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 Dae‐Shik Kim Line = papers co-authored together Dae‐Shik Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010494
2 1995132
3 1997105
4 199493
5 199478
6 201778
7 199762
8 201048
9 199945
10 199843
11 201639
12 201838
13 201036
14 201831
15 201326
16 201420
17 202019
18 198919
19 201519
20 201818

About Dae‐Shik Kim

Dae‐Shik Kim is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (13 papers), Neural dynamics and brain function (12 papers), Functional Brain Connectivity Studies (9 papers), Domain Adaptation and Few-Shot Learning (8 papers), Neuroscience and Neural Engineering (8 papers), Advanced Neuroimaging Techniques and Applications (6 papers), EEG and Brain-Computer Interfaces (6 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.0k citations), Cellular and Molecular Neuroscience (670 citations), Radiology, Nuclear Medicine and Imaging (217 citations), Neurology (69 citations) and Biophysics (47 citations). Dae‐Shik Kim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Tobias Bonhoeffer, Jin Hyung Lee, Inbal Goshen, Rémy Durand, Charu Ramakrishnan, Karl Deisseroth, Viviana Gradinaru, Lief E. Fenno, Feng Zhang and Wolf Singer. Their work appears in journals such as European Journal of Neuroscience, Nature, Applied Intelligence, Neuroreport and PLoS ONE.

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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