Gi Hyun Lim

765 total citations
41 papers, 471 citations indexed

About

Gi Hyun Lim is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gi Hyun Lim has authored 41 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 20 papers in Control and Systems Engineering and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gi Hyun Lim's work include Robotics and Automated Systems (13 papers), AI-based Problem Solving and Planning (11 papers) and Robotics and Sensor-Based Localization (10 papers). Gi Hyun Lim is often cited by papers focused on Robotics and Automated Systems (13 papers), AI-based Problem Solving and Planning (11 papers) and Robotics and Sensor-Based Localization (10 papers). Gi Hyun Lim collaborates with scholars based in Portugal, South Korea and Germany. Gi Hyun Lim's co-authors include Il Hong Suh, Hyo-Won Suh, Luís Seabra Lopes, Miguel Oliveira, Ana Maria Tomé, Hamidreza Kasaei, Aneesh Chauhan, Jung-Hwa Choi, Wonil Hwang and Young-Tack Park and has published in prestigious journals such as Sensors, Neurocomputing and Robotics and Autonomous Systems.

In The Last Decade

Gi Hyun Lim

40 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gi Hyun Lim Portugal 12 246 235 188 114 45 41 471
Dominik Jain Germany 12 139 0.6× 167 0.7× 121 0.6× 66 0.6× 26 0.6× 16 326
Corey Lynch United States 8 303 1.2× 315 1.3× 180 1.0× 29 0.3× 13 0.3× 12 552
Neil T. Dantam United States 14 356 1.4× 239 1.0× 357 1.9× 75 0.7× 20 0.4× 43 607
E. Gil Jones United States 6 168 0.7× 93 0.4× 135 0.7× 79 0.7× 46 1.0× 6 376
Tijn van der Zant Netherlands 11 197 0.8× 183 0.8× 103 0.5× 28 0.2× 49 1.1× 19 386
Beomjoon Kim South Korea 14 218 0.9× 191 0.8× 141 0.8× 47 0.4× 41 0.9× 32 435
Raymond Sheh Australia 10 87 0.4× 81 0.3× 74 0.4× 80 0.7× 42 0.9× 35 296
Timothy Patten Austria 11 214 0.9× 113 0.5× 101 0.5× 135 1.2× 10 0.2× 28 439
Hans Utz United States 9 140 0.6× 103 0.4× 188 1.0× 91 0.8× 23 0.5× 28 402
Carmadi Machbub Indonesia 10 167 0.7× 95 0.4× 81 0.4× 33 0.3× 21 0.5× 82 407

Countries citing papers authored by Gi Hyun Lim

Since Specialization
Citations

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

Fields of papers citing papers by Gi Hyun Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gi Hyun Lim

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

All Works

20 of 20 papers shown
1.
Lim, Gi Hyun. (2025). Cognitive human-robot interaction on safety concerns for a field test. Intelligent Service Robotics. 18(1). 169–183.
2.
Lim, Gi Hyun, et al.. (2019). Skill-based anytime agent architecture for European Robotics Challenges in realistic environments: EuRoC Challenge 2, Stage II — realistic labs. Robotics and Autonomous Systems. 120. 103227–103227. 2 indexed citations
3.
Lim, Gi Hyun. (2019). Shared representations of actions for alternative suggestion with incomplete information. Robotics and Autonomous Systems. 116. 38–50. 4 indexed citations
4.
Lim, Gi Hyun, et al.. (2019). Precise and efficient pose estimation of stacked objects for mobile manipulation in industrial robotics challenges. Advanced Robotics. 33(13). 636–646. 6 indexed citations
5.
Lim, Gi Hyun, et al.. (2018). Mobile manipulation for autonomous packaging in realistic environments: EuRoC challenge 2, stage II, showcase. Research Explorer (The University of Manchester). 2. 231–236. 4 indexed citations
6.
Lim, Gi Hyun, F. Amaral, Nuno Lau, et al.. (2017). Rich and robust human-robot interaction on gesture recognition for assembly tasks. Research Explorer (The University of Manchester). 159–164. 12 indexed citations
7.
Lim, Gi Hyun. (2016). Two-step learning about normal and exceptional human behaviors incorporating patterns and knowledge. Research Explorer (The University of Manchester). 21. 162–167. 7 indexed citations
8.
Lopes, Luís Seabra, et al.. (2015). Planning with Activity Schemata: Closing the Loop in Experience-Based Planning. Research Explorer (The University of Manchester). 9–14. 4 indexed citations
9.
Kasaei, Hamidreza, Miguel Oliveira, Gi Hyun Lim, Luís Seabra Lopes, & Ana Maria Tomé. (2015). An Adaptive Object Perception System Based on Environment Exploration and Bayesian Learning. Research Explorer (The University of Manchester). 752. 221–226. 6 indexed citations
10.
Lim, Gi Hyun, Miguel Oliveira, Hamidreza Kasaei, et al.. (2014). Interactive teaching and experience extraction for learning about objects and robot activities. Research Explorer (The University of Manchester). 10. 153–160. 13 indexed citations
11.
Oliveira, Miguel, Gi Hyun Lim, Luís Seabra Lopes, et al.. (2014). A perceptual memory system for grounding semantic representations in intelligent service robots. Research Explorer (The University of Manchester). 2216–2223. 21 indexed citations
12.
Lim, Gi Hyun, et al.. (2013). Personalized robotic service using N-gram affective event model. Human-Robot Interaction. 185–186. 1 indexed citations
13.
Lim, Gi Hyun, Kun Woo Kim, Hyo-Won Suh, Il Hong Suh, & Michael Beetz. (2013). Knowledge-based Incremental Bayesian Learning for Object Recognition. Research Explorer (The University of Manchester). 2 indexed citations
14.
Lim, Gi Hyun, et al.. (2011). ROBUST SEMANTIC WORLD MODELING BY BETA MEASUREMENT LIKELIHOOD IN A DYNAMIC INDOOR ENVIRONMENT. 311–316. 1 indexed citations
15.
Lim, Gi Hyun, Il Hong Suh, & Hyo-Won Suh. (2010). Ontology-Based Unified Robot Knowledge for Service Robots in Indoor Environments. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 41(3). 492–509. 105 indexed citations
16.
Lim, Gi Hyun & Il Hong Suh. (2010). Robust robot knowledge instantiation for intelligent service robots. Intelligent Service Robotics. 3(2). 115–123. 14 indexed citations
17.
Kim, Hak Soo, Jin Hyun Son, Gi Hyun Lim, & Il Hong Suh. (2010). Semantic Robot Memory Store using 5W1H for Service Tasks. The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry). 2010.5(0). 579–584. 4 indexed citations
18.
Lim, Gi Hyun, et al.. (2009). Robust object instance registration to robot-centered knowledge framework. Research Explorer (The University of Manchester). 680–685. 1 indexed citations
19.
Lim, Gi Hyun. (2007). Robot Knowledge Framework of a Mobile Robot for Object Recognition and Navigation. Research Explorer (The University of Manchester). 44(6). 19–29. 1 indexed citations
20.
Lim, Gi Hyun, et al.. (2007). Ontological representation of vision-based 3D spatio-temporal context for mobile robot applications. Research Explorer (The University of Manchester). 478–483. 4 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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