Hyun Jin Moon

31 papers receiving 692 citations

Peers

Hyun Jin Moon
Comparison fields: 5 of 52
  • Computer Networks and Communications 604
  • Information Systems 521
  • Artificial Intelligence 249
  • Management Science and Operations Research 93
  • Information Systems and Management 76
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Arvid Heise Germany
Ken Baclawski United States
Muhammad Ali Gulzar United States
Andrew Eisenberg United States
Jinpeng Wei United States
Markus Kirchberg Singapore
Babak Esfandiari Canada
Harold Lim United States
Israel Ben‐Shaul Israel
Anton Michlmayr Austria
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Citations per field
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 13
2 12
3 18
4
Typhoid Fever Complicated by Intussusception, Splenic Infarction, and Hepatitis
1
5 0
6
A Case of Diabetic Ketoacidosis Precipitated by Klebsiella Liver Abscess and Brain Abscess
1
7 9
8 12
9 23
10 9
11 17
12 46
13
Supporting schema evolution in information systems and historical databases
1
14 99
15 58
16 3
17
Managing Multiversion Documents & Historical Databases: a Unified Solution Based on XML.
2
18 3
19 4
20 2

About Hyun Jin Moon

Hyun Jin Moon is a scholar working on Computer Networks and Communications, Information Systems and Management Science and Operations Research, having authored 33 papers that have together received 754 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (12 papers), Cloud Computing and Resource Management (10 papers) and Semantic Web and Ontologies (8 papers). The work is most often cited by research in Computer Networks and Communications (604 citations), Information Systems (521 citations) and Information Systems and Management (76 citations). Hyun Jin Moon has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Carlo Zaniolo, Carlo Curino, Yün Chi, Hakan Hacígümüş, Alin Deutsch, Shenghuo Zhu, Calton Pu, Pengcheng Xiong, Letizia Tanca and Wang-Pin Hsiung. Their work appears in journals such as American Journal of Epidemiology, IEEE Transactions on Parallel and Distributed Systems and Journal of Gastroenterology and Hepatology.

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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