Sejoon Lim

618 citations
29 papers · 405 · h-index 11

Impact in

Papers in

Sejoon Lim

29 papers receiving 398 citations

Peers

Sejoon Lim
Comparison fields: 5 of 67
  • Transportation 155
  • Building and Construction 128
  • Automotive Engineering 104
  • Experimental and Cognitive Psychology 53
  • Signal Processing 42
Replace Felix Klanner with:
Felix Klanner Germany
Yifan Zhuang China
Arief Koesdwiady Canada
Thierry Derrmann Luxembourg
Jeff Ban United States
Mohamed Fazeen United States
Pranamesh Chakraborty United States
Haluk Eren Türkiye
Sujeong Kim United States
Lien‐Wu Chen Taiwan
Sejoon Lim relative to Felix Klanner Germany Felix Klanner's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sejoon Lim

Since Specialization
Citations

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

Fields of papers citing papers by Sejoon Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Sejoon Lim, 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 Sejoon Lim Line = papers co-authored together Sejoon Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012120
2 201044
3 202133
4 202325
5 201223
6 201621
7 201820
8 201215
9 202012
10 201212
11 202110
12 20189
13 20238
14 20228
15 20098
16 20227
17 20216
18 20186
19 20244
20 20232

About Sejoon Lim

Sejoon Lim is a scholar working on Automotive Engineering, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Transportation and Building and Construction, having authored 29 papers that have together received 405 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (8 papers), Emotion and Mood Recognition (6 papers), Traffic Prediction and Management Techniques (6 papers), Sleep and Work-Related Fatigue (6 papers), Traffic and Road Safety (4 papers), Video Surveillance and Tracking Methods (4 papers), Human Mobility and Location-Based Analysis (4 papers) and Transportation Planning and Optimization (4 papers). The work is most often cited by research in Transportation (155 citations), Building and Construction (128 citations), Automotive Engineering (104 citations), Experimental and Cognitive Psychology (53 citations) and Signal Processing (42 citations). Sejoon Lim has collaborated with scholars based in South Korea, United States and Mexico. Frequent co-authors include Daniela Rus, Javed A. Aslam, Xinghao Pan, Ji Hyun Yang, Hari Balakrishnan, Samuel Madden, David Gifford, Sung‐Wook Hwang, Sangho Lee and Hee-Jung Kim. Their work appears in journals such as Sensors, Electronics, Transportation Research Part F Traffic Psychology and Behaviour, International Journal of Automotive Technology and Electronics Letters.

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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