Beomjoon Kim

1.0k total citations
32 papers, 435 citations indexed

About

Beomjoon Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Beomjoon Kim has authored 32 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Beomjoon Kim's work include Robotic Path Planning Algorithms (9 papers), Reinforcement Learning in Robotics (7 papers) and AI-based Problem Solving and Planning (5 papers). Beomjoon Kim is often cited by papers focused on Robotic Path Planning Algorithms (9 papers), Reinforcement Learning in Robotics (7 papers) and AI-based Problem Solving and Planning (5 papers). Beomjoon Kim collaborates with scholars based in South Korea, United States and Canada. Beomjoon Kim's co-authors include Joëlle Pineau, Leslie Pack Kaelbling, Tomás Lozano‐Pérez, Jong‐Min Lee, Zi Wang, Amir massoud Farahmand, Doina Precup, Jemin Hwangbo, Suyoung Choi and Changick Kim and has published in prestigious journals such as The International Journal of Robotics Research, Applied Sciences and IEEE Communications Letters.

In The Last Decade

Beomjoon Kim

23 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beomjoon Kim South Korea 14 218 191 141 58 52 32 435
Matteo Leonetti United Kingdom 15 127 0.6× 262 1.4× 145 1.0× 47 0.8× 39 0.8× 40 535
Trung Dung Ngo Canada 10 204 0.9× 71 0.4× 126 0.9× 76 1.3× 130 2.5× 67 489
Chris Scrapper United States 7 143 0.7× 67 0.4× 130 0.9× 35 0.6× 64 1.2× 19 370
Aleksandar Jevtić Spain 13 155 0.7× 127 0.7× 119 0.8× 20 0.3× 111 2.1× 36 450
Giuseppe Paolo Switzerland 1 367 1.7× 298 1.6× 113 0.8× 42 0.7× 65 1.3× 2 517
Valts Blukis United States 10 326 1.5× 290 1.5× 181 1.3× 22 0.4× 25 0.5× 16 633
Alexander Ferrein Germany 12 118 0.5× 204 1.1× 121 0.9× 10 0.2× 56 1.1× 57 464
Aleksandr I. Panov Russia 11 241 1.1× 163 0.9× 77 0.5× 19 0.3× 39 0.8× 63 434

Countries citing papers authored by Beomjoon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Beomjoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beomjoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Beomjoon Kim. A scholar is included among the top collaborators of Beomjoon Kim 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 Beomjoon Kim. Beomjoon Kim 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
2.
Kim, Beomjoon, et al.. (2025). An Ensemble Machine Learning Framework for Identifying LncRNA : Disease Association. The Journal of Korean Institute of Information Technology. 23(6). 41–53.
4.
Kim, Beomjoon, et al.. (2024). Light-weight Monocular Depth Estimation Via Cross Attention Fusion of Sparse LiDAR. Journal of Institute of Control Robotics and Systems. 30(8). 828–833.
5.
Choi, Suyoung, et al.. (2023). Learning Whole-Body Manipulation for Quadrupedal Robot. IEEE Robotics and Automation Letters. 9(1). 699–706. 19 indexed citations
7.
8.
Jembre, Yalew Zelalem, et al.. (2021). Evaluation of Reinforcement and Deep Learning Algorithms in Controlling Unmanned Aerial Vehicles. Applied Sciences. 11(16). 7240–7240. 14 indexed citations
9.
Kim, Beomjoon, et al.. (2020). American Sign Language Recognition System Using Wearable Sensors with Deep Learning Approach. The Journal of the Korea institute of electronic communication sciences. 15(2). 291–298. 13 indexed citations
10.
Kim, Beomjoon, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, & Tomás Lozano‐Pérez. (2020). Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. Proceedings of the AAAI Conference on Artificial Intelligence. 34(6). 9916–9924. 13 indexed citations
11.
Kim, Beomjoon, Leslie Pack Kaelbling, & Tomás Lozano‐Pérez. (2019). Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8017–8024. 13 indexed citations
12.
Kim, Beomjoon, Leslie Pack Kaelbling, & Tomás Lozano‐Pérez. (2018). Guiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search Experience. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 20 indexed citations
13.
Kim, Beomjoon & Joëlle Pineau. (2015). Socially Adaptive Path Planning in Human Environments Using Inverse Reinforcement Learning. International Journal of Social Robotics. 8(1). 51–66. 162 indexed citations
14.
Kim, Beomjoon, Amir massoud Farahmand, Joëlle Pineau, & Doina Precup. (2013). Learning from Limited Demonstrations. Neural Information Processing Systems. 26. 2859–2867. 30 indexed citations
15.
Kim, Beomjoon & Joëlle Pineau. (2013). Maximum Mean Discrepancy Imitation Learning. 20 indexed citations
16.
Kim, Beomjoon. (2012). Service Quality Criteria for Voice Services over a HSDPA System. The Journal of the Korea institute of electronic communication sciences. 7(2). 249–255.
17.
Kim, Beomjoon. (2012). Implementation of TCP Retransmitted Packet Loss Recovery using ns-2 Simulator. The Journal of the Korea institute of electronic communication sciences. 7(4). 741–746. 1 indexed citations
18.
Kim, Beomjoon. (2011). Service Quality Criteria for Voice Services over a WiBro Network. The Journal of the Korea institute of electronic communication sciences. 6(6). 823–829. 1 indexed citations
19.
Kim, Beomjoon, et al.. (2009). TCP-Friendly Retransmission Persistence Management for SR-ARQ Protocols. IEICE Transactions on Communications. E92-B(10). 3243–3246. 1 indexed citations
20.
Kim, Beomjoon, et al.. (2004). Lost Retransmission Detection for TCP SACK. IEEE Communications Letters. 8(9). 600–602. 13 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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