Heejin Ahn

634 citations
22 papers · 492 · h-index 12

Impact in

Papers in

Heejin Ahn

21 papers receiving 481 citations

Peers

Heejin Ahn
Comparison fields: 5 of 31
  • Control and Systems Engineering 261
  • Automotive Engineering 97
  • Computer Vision and Pattern Recognition 66
  • Artificial Intelligence 78
  • Computational Theory and Mathematics 31
Replace Bassam Alrifaee with:
Bassam Alrifaee Germany
Qin Lin United States
Ming-Gang Gan China
Negar Mehr United States
Lukas Brunke Germany
Adam W. Hall Canada
Zhaocong Yuan Canada
Yunwen Xu China
Adrian Filipescu Romania
Heejin Ahn relative to Bassam Alrifaee Germany Bassam Alrifaee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Heejin Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Heejin Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Heejin Ahn, 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 Heejin Ahn Line = papers co-authored together Heejin Ahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017161
2 201754
3 201434
4
Safety Verification and Control for Collision Avoidance at Road Intersections
201727
5 202227
6 202226
7 201920
8 201519
9 201619
10 202019
11
Semi-autonomous Intersection Collision Avoidance through Job-shop Scheduling
201617
12 201913
13 202112
14 202011
15 202410
16 20249
17 20187
18 20263
19 20192
20 20201

About Heejin Ahn

Heejin Ahn is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Automotive Engineering, Computational Theory and Mathematics and Safety, Risk, Reliability and Quality, having authored 22 papers that have together received 492 indexed citations. Recurring topics across this work include Traffic control and management (9 papers), Robotic Path Planning Algorithms (7 papers), Autonomous Vehicle Technology and Safety (4 papers), Formal Methods in Verification (4 papers), Advanced Control Systems Optimization (3 papers), Stability and Control of Uncertain Systems (2 papers), Traffic and Road Safety (1 paper) and Vehicle Dynamics and Control Systems (1 paper). The work is most often cited by research in Control and Systems Engineering (261 citations), Automotive Engineering (97 citations), Computer Vision and Pattern Recognition (66 citations), Artificial Intelligence (78 citations) and Computational Theory and Mathematics (31 citations). Heejin Ahn has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Domitilla Del Vecchio, Alessandro Colombo, Maryam Kamgarpour, Philip V. Orlik, Stefano Di Cairano, Jianlin Guo, Yebin Wang, Chenyang Lu, Ankush Chakrabarty and Karl Berntorp. Their work appears in journals such as IEEE Transactions on Control Systems Technology, IEEE Control Systems Letters, IEEE Transactions on Automatic Control, IEEE Robotics and Automation Letters and International Journal of Control Automation and Systems.

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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