Hyun Jin Moon

39 total papers · 1.2k total citations
32 papers, 754 citations indexed

About

Hyun Jin Moon is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Hyun Jin Moon has authored 32 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 13 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Hyun Jin Moon's work include Advanced Database Systems and Queries (12 papers), Cloud Computing and Resource Management (10 papers) and Semantic Web and Ontologies (8 papers). Hyun Jin Moon is often cited by papers focused on Advanced Database Systems and Queries (12 papers), Cloud Computing and Resource Management (10 papers) and Semantic Web and Ontologies (8 papers). Hyun Jin Moon collaborates with scholars based in United States, South Korea and Italy. Hyun Jin Moon's co-authors include Carlo Zaniolo, Carlo Curino, Yün Chi, Hakan Hacígümüş, Alin Deutsch, Pengcheng Xiong, Calton Pu, Shenghuo Zhu, Letizia Tanca and Wang-Pin Hsiung and has published in prestigious journals such as American Journal of Epidemiology, IEEE Transactions on Parallel and Distributed Systems and Journal of Gastroenterology and Hepatology.

In The Last Decade

Hyun Jin Moon

31 papers receiving 692 citations

Author Peers

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

Author						Papers	Cites
Hyun Jin Moon	604	521	249	93	76	32	754
Dean Jacobs	502 0.8×	402 0.8×	272 1.1×	45 0.5×	28 0.4×	34	740
Songyun Duan	464 0.8×	353 0.7×	337 1.4×	89 1.0×	38 0.5×	21	678
Philipp Leitner	527 0.9×	719 1.4×	279 1.1×	73 0.8×	61 0.8×	40	891
Periklis Andritsos	276 0.5×	359 0.7×	377 1.5×	140 1.5×	27 0.4×	39	671
Moreno Marzolla	622 1.0×	359 0.7×	191 0.8×	49 0.5×	64 0.8×	55	749
Kamran Sartipi	252 0.4×	427 0.8×	375 1.5×	71 0.8×	38 0.5×	56	820
Matteo Interlandi	504 0.8×	368 0.7×	270 1.1×	98 1.1×	239 3.1×	53	779
Sandeep Tata	320 0.5×	371 0.7×	310 1.2×	58 0.6×	47 0.6×	37	742
Johann-Christoph Freytag	384 0.6×	311 0.6×	274 1.1×	129 1.4×	76 1.0×	40	696
Mokrane Bouzeghoub	361 0.6×	467 0.9×	367 1.5×	149 1.6×	28 0.4×	56	738

Countries citing papers authored by Hyun Jin Moon

Since Specialization

Citations

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

Fields of papers citing papers by Hyun Jin Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyun Jin Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Hyun Jin Moon. A scholar is included among the top collaborators of Hyun Jin Moon 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 Hyun Jin Moon. Hyun Jin Moon 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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