Eun Suk Suh

55 total papers · 1.4k total citations
42 papers, 1.0k citations indexed

About

Eun Suk Suh is a scholar working on Management of Technology and Innovation, Mechanical Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Eun Suk Suh has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Management of Technology and Innovation, 16 papers in Mechanical Engineering and 12 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Eun Suk Suh's work include Product Development and Customization (28 papers), Design Education and Practice (15 papers) and Quality Function Deployment in Product Design (12 papers). Eun Suk Suh is often cited by papers focused on Product Development and Customization (28 papers), Design Education and Practice (15 papers) and Quality Function Deployment in Product Design (12 papers). Eun Suk Suh collaborates with scholars based in South Korea, United States and Ethiopia. Eun Suk Suh's co-authors include Olivier de Weck, David S. Chang, Katja Hölttä‐Otto, K. P. Sinha, Young Jae Jang, Jong‐Woo Kim, Il Yong Kim, Woo‐Kyun Jung, Jaemyung Ahn and Young-Chul Park and has published in prestigious journals such as Applied Sciences, Journal of Mechanical Design and IEEE Transactions on Engineering Management.

In The Last Decade

Eun Suk Suh

41 papers receiving 970 citations

Author Peers

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

Author Last Decade Papers Cites
Eun Suk Suh 668 430 267 197 125 42 1.0k
Jörg Feldhusen 474 0.7× 687 1.6× 509 1.9× 122 0.6× 33 0.3× 52 1.2k
F.J.A.M. van Houten 260 0.4× 372 0.9× 684 2.6× 156 0.8× 41 0.3× 50 1.2k
Wim J.C. Verhagen 195 0.3× 244 0.6× 465 1.7× 229 1.2× 30 0.2× 71 1.1k
Manbir Sodhi 141 0.2× 165 0.4× 270 1.0× 122 0.6× 78 0.6× 50 1.1k
Runhua Tan 375 0.6× 368 0.9× 279 1.0× 178 0.9× 22 0.2× 156 948
George A. Hazelrigg 469 0.7× 376 0.9× 208 0.8× 167 0.8× 19 0.2× 54 1.1k
Angus Jeang 268 0.4× 253 0.6× 735 2.8× 95 0.5× 45 0.4× 73 1.2k
H. Kaebernick 166 0.2× 197 0.5× 533 2.0× 98 0.5× 100 0.8× 41 1.2k
Denis Cavallucci 417 0.6× 462 1.1× 331 1.2× 138 0.7× 13 0.1× 86 923
Gregory Mocko 437 0.7× 532 1.2× 381 1.4× 63 0.3× 20 0.2× 91 975

Countries citing papers authored by Eun Suk Suh

Since Specialization
Citations

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

Fields of papers citing papers by Eun Suk Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun Suk Suh. 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 Eun Suk Suh. The network helps show where Eun Suk Suh may publish in the future.

Co-authorship network of co-authors of Eun Suk Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Eun Suk Suh. A scholar is included among the top collaborators of Eun Suk Suh 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 Eun Suk Suh. Eun Suk Suh 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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