Beomjoon Kim

75 total papers · 1.0k total citations
32 papers, 425 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 425 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, Tomás Lozano‐Pérez, Leslie Pack Kaelbling, Jong‐Min Lee, Zi Wang, Amir massoud Farahmand, Doina Precup, Jemin Hwangbo, Chanho Jung 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 390 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Beomjoon Kim	215	188	138	57	51	32	425
Konstantinos Charalampous	241 1.1×	89 0.5×	80 0.6×	55 1.0×	29 0.6×	21	377
Chris Scrapper	142 0.7×	67 0.4×	130 0.9×	35 0.6×	64 1.3×	19	370
Trung Dung Ngo	202 0.9×	70 0.4×	122 0.9×	72 1.3×	128 2.5×	66	476
Aleksandar Jevtić	154 0.7×	127 0.7×	118 0.9×	19 0.3×	109 2.1×	36	445
Jingyi Liu	156 0.7×	70 0.4×	59 0.4×	50 0.9×	29 0.6×	48	387
Bruno Brito	279 1.3×	94 0.5×	164 1.2×	32 0.6×	55 1.1×	17	402
Javier V. Gómez	254 1.2×	53 0.3×	101 0.7×	79 1.4×	72 1.4×	32	392
Alexander Ferrein	118 0.5×	204 1.1×	121 0.9×	10 0.2×	56 1.1×	57	463
Ransalu Senanayake	129 0.6×	120 0.6×	92 0.7×	19 0.3×	17 0.3×	36	418
Mario Gianni	153 0.7×	73 0.4×	88 0.6×	36 0.6×	78 1.5×	40	419

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

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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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