Do Hyong Koh

546 total citations
13 papers, 389 citations indexed

About

Do Hyong Koh is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Ophthalmology. According to data from OpenAlex, Do Hyong Koh has authored 13 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Human-Computer Interaction, 6 papers in Cognitive Neuroscience and 5 papers in Ophthalmology. Recurrent topics in Do Hyong Koh's work include Gaze Tracking and Assistive Technology (9 papers), Glaucoma and retinal disorders (5 papers) and Interactive and Immersive Displays (3 papers). Do Hyong Koh is often cited by papers focused on Gaze Tracking and Assistive Technology (9 papers), Glaucoma and retinal disorders (5 papers) and Interactive and Immersive Displays (3 papers). Do Hyong Koh collaborates with scholars based in United States, Brazil and South Korea. Do Hyong Koh's co-authors include Oleg V. Komogortsev, Sampath Jayarathna, Denise Gobert, Young Sam Ryu, Dongseok Ryu, Marc Pomplun, Sungchul Kang, Andreas Keil, M. H. Schneps and J. D. Platt and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Alzheimer s & Dementia and Journal of Usability Studies archive.

In The Last Decade

Do Hyong Koh

13 papers receiving 373 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Do Hyong Koh United States	8	255	132	86	77	38	13	389
Kai Kunze Japan	10	317 1.2×	125 0.9×	24 0.3×	143 1.9×	21 0.6×	29	415
Fiona Mulvey Sweden	5	278 1.1×	115 0.9×	84 1.0×	67 0.9×	16 0.4×	11	374
Denise Gobert United States	7	158 0.6×	142 1.1×	148 1.7×	48 0.6×	9 0.2×	18	444
Jayson Turner United Kingdom	10	408 1.6×	226 1.7×	80 0.9×	105 1.4×	16 0.4×	12	483
Javier San Agustin Denmark	14	512 2.0×	256 1.9×	142 1.7×	98 1.3×	14 0.4×	19	578
Peter Presti United States	12	331 1.3×	129 1.0×	56 0.7×	192 2.5×	24 0.6×	26	580
Henrik Skovsgaard Denmark	10	335 1.3×	174 1.3×	68 0.8×	74 1.0×	12 0.3×	11	392
Shoya Ishimaru Germany	14	337 1.3×	181 1.4×	27 0.3×	173 2.2×	22 0.6×	58	638
Mélodie Vidal United Kingdom	10	641 2.5×	328 2.5×	150 1.7×	168 2.2×	24 0.6×	13	715
Takehiko Ohno Japan	10	446 1.7×	100 0.8×	141 1.6×	126 1.6×	15 0.4×	28	539

Countries citing papers authored by Do Hyong Koh

Since Specialization

Citations

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

Fields of papers citing papers by Do Hyong Koh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do Hyong Koh. 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 Do Hyong Koh. The network helps show where Do Hyong Koh may publish in the future.

Co-authorship network of co-authors of Do Hyong Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Do Hyong Koh. A scholar is included among the top collaborators of Do Hyong Koh 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 Do Hyong Koh. Do Hyong Koh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Dawson, Kara, et al.. (2022). Promoting Interdisciplinary Integration of Cybersecurity Knowledge, Skills and Career Awareness in Preservice Teacher Education. 30(2). 275–287. 1 indexed citations

2.

Koh, Do Hyong, et al.. (2020). Saccadic eye movements associated with executive function decline in mild cognitive impairment and Alzheimer’s disease. Alzheimer s & Dementia. 16(S4). 4 indexed citations

3.

Bayat, Akram, et al.. (2018). Scene Grammar in Human and Machine Recognition of Objects and Scenes. 2073–20737. 6 indexed citations

4.

Koh, Do Hyong, et al.. (2018). Gaze Tracking Accuracy Maintenance using Traffic Sign Detection. 87–91. 2 indexed citations

5.

Koh, Do Hyong, et al.. (2018). Biometric Recognition Through Eye Movements Using a Recurrent Neural Network. 57–64. 24 indexed citations

6.

Ryu, Young Sam, et al.. (2011). Usability evaluation of touchless mouse based on infrared proximity sensing. Journal of Usability Studies archive. 7(1). 31–39. 4 indexed citations

7.

Ryu, Young Sam, et al.. (2010). Usability evaluation of randomized keypad. Journal of Usability Studies archive. 5(2). 65–75. 15 indexed citations

8.

Komogortsev, Oleg V., et al.. (2010). Qualitative and quantitative scoring and evaluation of the eye movement classification algorithms. 65–65. 38 indexed citations

9.

Koh, Do Hyong, et al.. (2010). Real time eye movement identification protocol. 3499–3504. 15 indexed citations

10.

Komogortsev, Oleg V., et al.. (2010). Standardization of Automated Analyses of Oculomotor Fixation and Saccadic Behaviors. IEEE Transactions on Biomedical Engineering. 57(11). 2635–2645. 227 indexed citations

11.

Ryu, Dongseok, et al.. (2010). T-less : A novel touchless human-machine interface based on infrared proximity sensing. 5220–5225. 21 indexed citations

12.

Koh, Do Hyong, et al.. (2009). Input evaluation of an eye-gaze-guided interface. 197–202. 18 indexed citations

13.

Komogortsev, Oleg V., et al.. (2009). Instantaneous saccade driven eye gaze interaction. 140–147. 14 indexed citations

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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