Sung H. Park

1.7k total citations
52 papers, 1.3k citations indexed

About

Sung H. Park is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Sung H. Park has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Management Science and Operations Research, 19 papers in Computational Theory and Mathematics and 12 papers in Statistics and Probability. Recurrent topics in Sung H. Park's work include Optimal Experimental Design Methods (29 papers), Advanced Multi-Objective Optimization Algorithms (19 papers) and Advanced Statistical Methods and Models (11 papers). Sung H. Park is often cited by papers focused on Optimal Experimental Design Methods (29 papers), Advanced Multi-Objective Optimization Algorithms (19 papers) and Advanced Statistical Methods and Models (11 papers). Sung H. Park collaborates with scholars based in South Korea, United States and India. Sung H. Park's co-authors include Jiju Antony, Robert J. Hader, Christian N. Madu, Douglas C. Montgomery, Maneesh Kumar, Craig A. Horswill, Jiaping Gao, D. L. Costill, Rabindra Nath Das and Zhen He and has published in prestigious journals such as Technometrics, Carbon and Biometrics.

In The Last Decade

Sung H. Park

48 papers receiving 1.2k citations

Peers

Sung H. Park
Comparison fields: 5 of 145
  • Management Science and Operations Research 384
  • Computational Theory and Mathematics 248
  • Mechanical Engineering 223
  • Management Information Systems 188
  • Industrial and Manufacturing Engineering 188
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Citations per field, relative to Sung H. Park
Sung H. Park · 1×
Citations per year, relative to Sung H. Park
Sung H. Park · 1×

Countries citing papers authored by Sung H. Park

Since Specialization
Citations

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

Fields of papers citing papers by Sung H. Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung H. Park. 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 Sung H. Park. The network helps show where Sung H. Park may publish in the future.

Co-authorship network of co-authors of Sung H. Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sung H. Park. A scholar is included among the top collaborators of Sung H. Park 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 Sung H. Park. Sung H. Park 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
# Work Indexed citations
1 10
2 1
3 16
4 11
5 53
6 12
7
six sigma for quality and productivity promotion
81
8 2
9 1
10
Bridge inspection and structural analysis: Hand book of bridge inspection
0
11 427
12 13
13 56
14 2
15 1
16 15
17 23
18 59
19 5
20 5

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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