Hoon Ko

1.2k citations
86 papers · 612 · h-index 14

Impact in

Papers in

Hoon Ko

78 papers receiving 590 citations

Peers

Hoon Ko
Comparison fields: 5 of 101
  • Computer Networks and Communications 166
  • Information Systems 160
  • Health Information Management 24
  • Computer Vision and Pattern Recognition 102
  • Signal Processing 49
Replace K. G. Srinivasa with:
K. G. Srinivasa India
Okba Kazar Algeria
Ahmed S. Salama Egypt
Nancy Victor India
Gaurang Bansal India
Israa Al Barazanchi Iraq
Tony Jan Australia
David Vallejo Spain
Mohammad Hijji Saudi Arabia
Vijayalakshmi Saravanan India
Hoon Ko relative to K. G. Srinivasa India K. G. Srinivasa's profile →
Citations per field
00.5×1.5×2.2×
K. G. Srinivasa · 1×
Citations per year

Countries citing papers authored by Hoon Ko

Since Specialization
Citations

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

Fields of papers citing papers by Hoon Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201660
2 202155
3 201548
4 201933
5 202126
6 202024
7 201920
8 201217
9 201617
10 202017
11 202016
12 202115
13 202014
14 202013
15 202112
16 202012
17 202110
18 201910
19 20009
20 20218

About Hoon Ko

Hoon Ko is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Health Information Management, having authored 86 papers that have together received 612 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (8 papers), Network Security and Intrusion Detection (8 papers), Innovation in Digital Healthcare Systems (8 papers), EEG and Brain-Computer Interfaces (7 papers), Internet of Things and Social Network Interactions (6 papers), ECG Monitoring and Analysis (6 papers) and Biometric Identification and Security (5 papers). The work is most often cited by research in Computer Networks and Communications (166 citations), Information Systems (160 citations), Health Information Management (24 citations), Computer Vision and Pattern Recognition (102 citations) and Signal Processing (49 citations). Hoon Ko has collaborated with scholars based in South Korea, Portugal and Czechia. Frequent co-authors include Amit Kumar Singh, Jaehoon Jeong, Hyoungshick Kim, Zhihan Lv, Marek R. Ogiela, Goreti Marreiros, Ashima Anand, Anand Mohan, Sung Bum Pan and Junho Choi. Their work appears in journals such as Sensors, Applied Sciences, Electronics, ACM Transactions on Multimedia Computing Communications and Applications and IEEE Access.

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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