Hyukjoon Kwon

90 total papers · 1.1k total citations
46 papers, 724 citations indexed

About

Hyukjoon Kwon is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Hyukjoon Kwon has authored 46 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 27 papers in Atomic and Molecular Physics, and Optics and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in Hyukjoon Kwon's work include Quantum Information and Cryptography (31 papers), Quantum Mechanics and Applications (21 papers) and Quantum Computing Algorithms and Architecture (15 papers). Hyukjoon Kwon is often cited by papers focused on Quantum Information and Cryptography (31 papers), Quantum Mechanics and Applications (21 papers) and Quantum Computing Algorithms and Architecture (15 papers). Hyukjoon Kwon collaborates with scholars based in South Korea, United Kingdom and United States. Hyukjoon Kwon's co-authors include Hyunseok Jeong, Kok Chuan Tan, Tyler Volkoff, Chae-Yeun Park, Jack J. Yoh, M. Y. Choi, Minsu Kang, Myungsin Kim, David Jennings and Minsoo Kim and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical Review A.

In The Last Decade

Hyukjoon Kwon

40 papers receiving 688 citations

Author Peers

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

Author Last Decade Papers Cites
Hyukjoon Kwon 534 533 160 60 41 46 724
Naoto Shiraishi 506 0.9× 273 0.5× 662 4.1× 46 0.8× 35 0.9× 29 895
Zhirong Lin 487 0.9× 379 0.7× 21 0.1× 70 1.2× 26 0.6× 58 779
Ievgen I. Arkhipov 466 0.9× 208 0.4× 202 1.3× 21 0.3× 26 0.6× 56 710
Martin Tchoffo 447 0.8× 352 0.7× 145 0.9× 14 0.2× 11 0.3× 105 620
B. Ruggiero 622 1.2× 333 0.6× 102 0.6× 15 0.3× 8 0.2× 88 835
Ralph Silva 682 1.3× 592 1.1× 559 3.5× 25 0.4× 10 0.2× 22 878
Yoon-Ho Kim 477 0.9× 411 0.8× 17 0.1× 79 1.3× 42 1.0× 30 764
Giuseppe Florio 664 1.2× 500 0.9× 77 0.5× 22 0.4× 5 0.1× 58 874
Tan Van Vu 353 0.7× 192 0.4× 700 4.4× 27 0.5× 27 0.7× 24 809
Gonzalo Manzano 554 1.0× 410 0.8× 590 3.7× 20 0.3× 15 0.4× 26 752

Countries citing papers authored by Hyukjoon Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Hyukjoon Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyukjoon Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Hyukjoon Kwon. A scholar is included among the top collaborators of Hyukjoon Kwon 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 Hyukjoon Kwon. Hyukjoon Kwon 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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