Hak Kyeong Kim

83 total papers · 548 total citations
43 papers, 309 citations indexed

About

Hak Kyeong Kim is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Hak Kyeong Kim has authored 43 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Control and Systems Engineering, 18 papers in Computer Vision and Pattern Recognition and 11 papers in Biomedical Engineering. Recurrent topics in Hak Kyeong Kim's work include Control and Dynamics of Mobile Robots (16 papers), Robotic Path Planning Algorithms (15 papers) and Robotic Locomotion and Control (9 papers). Hak Kyeong Kim is often cited by papers focused on Control and Dynamics of Mobile Robots (16 papers), Robotic Path Planning Algorithms (15 papers) and Robotic Locomotion and Control (9 papers). Hak Kyeong Kim collaborates with scholars based in South Korea, Vietnam and China. Hak Kyeong Kim's co-authors include Sang Bong Kim, Dae Hwan Kim, Nguyen Thanh Phuong, Hung T. Nguyen, Dae Won Kim, Tan Tien Nguyen, Young Seok Jung, Zhe Xu, Choong Hwan Lee and Sun Hee Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Materials Processing Technology and International Journal of Precision Engineering and Manufacturing.

In The Last Decade

Hak Kyeong Kim

41 papers receiving 290 citations

Author Peers

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

Author						Papers	Cites
Hak Kyeong Kim	192	91	90	77	42	43	309
Taobo Cheng	137 0.7×	71 0.8×	49 0.5×	97 1.3×	53 1.3×	21	286
Luc Rolland	222 1.2×	45 0.5×	72 0.8×	61 0.8×	42 1.0×	40	358
Nkgatho Tlale	149 0.8×	104 1.1×	54 0.6×	63 0.8×	20 0.5×	40	319
Walter Fetter Lages	268 1.4×	168 1.8×	91 1.0×	48 0.6×	40 1.0×	36	346
Jahng Hyon Park	198 1.0×	55 0.6×	42 0.5×	76 1.0×	103 2.5×	44	332
Chuankai Liu	141 0.7×	93 1.0×	79 0.9×	77 1.0×	23 0.5×	68	332
Olivier Kermorgant	119 0.6×	155 1.7×	75 0.8×	86 1.1×	38 0.9×	23	303
Péter Tamás Szemes	144 0.8×	65 0.7×	53 0.6×	104 1.4×	45 1.1×	75	322
Gang Wang	148 0.8×	98 1.1×	61 0.7×	72 0.9×	27 0.6×	47	361
Mohammad M. Aref	224 1.2×	102 1.1×	145 1.6×	76 1.0×	16 0.4×	38	310

Countries citing papers authored by Hak Kyeong Kim

Since Specialization

Citations

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

Fields of papers citing papers by Hak Kyeong Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hak Kyeong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hak Kyeong Kim. A scholar is included among the top collaborators of Hak Kyeong 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 Hak Kyeong Kim. Hak Kyeong 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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