S.W. Nam

1.3k citations
98 papers · 950 · h-index 14

Impact in

Papers in

S.W. Nam

89 papers receiving 862 citations

Peers

S.W. Nam
Comparison fields: 5 of 113
  • Signal Processing 156
  • Human-Computer Interaction 64
  • Control and Systems Engineering 250
  • Virology 46
  • Computational Mechanics 175
Replace Chris Kyriakakis with:
Chris Kyriakakis United States
Shoichi Hasegawa Japan
Alistair McEwan Australia
Hyun‐Chool Shin South Korea
Maarten van Walstijn United Kingdom
Jiahong Li China
Jindong Liu United Kingdom
Hongwu Yang China
Sunil L. Kukreja United States
Yin Tian China
S.W. Nam relative to Chris Kyriakakis United States Chris Kyriakakis's profile →
Citations per field
00.5×3.3×
Chris Kyriakakis · 1×
Citations per year

Countries citing papers authored by S.W. Nam

Since Specialization
Citations

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

Fields of papers citing papers by S.W. Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.W. Nam. 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 S.W. Nam. The network helps show where S.W. Nam may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998142
2 1994101
3 200272
4
Optimal Scheduling of Drug Treatment for HIV Infection : Continuous Dose Control and Receding Horizon Control
200366
5 200762
6 201338
7 201336
8 200629
9 201725
10 199822
11 198920
12 201217
13 201417
14 199714
15 200313
16 201511
17 200210
18 200310
19 20149
20 20029

About S.W. Nam

S.W. Nam is a scholar working on Electrical and Electronic Engineering, Signal Processing, Computational Mechanics, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 98 papers that have together received 950 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (30 papers), Blind Source Separation Techniques (25 papers), Microwave Engineering and Waveguides (24 papers), Speech and Audio Processing (19 papers), Radio Frequency Integrated Circuit Design (17 papers), Image and Signal Denoising Methods (13 papers), Control Systems and Identification (7 papers) and Digital Filter Design and Implementation (7 papers). The work is most often cited by research in Signal Processing (156 citations), Human-Computer Interaction (64 citations), Control and Systems Engineering (250 citations), Virology (46 citations) and Computational Mechanics (175 citations). S.W. Nam has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include E.J. Powers, Chanan Singh, Sun I. Kim, I.D. Robertson, C.H. Lee, Joon‐Hyuk Chang, Seungju Han, Mark D. Wiederhold, Brenda K. Wiederhold and Jin H. Seo. Their work appears in journals such as Electronics Letters, IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Signal Processing, IEEE Access and Journal of Communications and Networks.

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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