Sang‐Oh Shim

27 total papers · 458 total citations
19 papers, 359 citations indexed

About

Sang‐Oh Shim is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Strategy and Management. According to data from OpenAlex, Sang‐Oh Shim has authored 19 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Industrial and Manufacturing Engineering, 3 papers in Computer Networks and Communications and 2 papers in Strategy and Management. Recurrent topics in Sang‐Oh Shim's work include Scheduling and Optimization Algorithms (13 papers), Advanced Manufacturing and Logistics Optimization (9 papers) and Assembly Line Balancing Optimization (7 papers). Sang‐Oh Shim is often cited by papers focused on Scheduling and Optimization Algorithms (13 papers), Advanced Manufacturing and Logistics Optimization (9 papers) and Assembly Line Balancing Optimization (7 papers). Sang‐Oh Shim collaborates with scholars based in South Korea, United States and Singapore. Sang‐Oh Shim's co-authors include Yeong‐Dae Kim, KyungBae Park, Sungyong Choi, Hark Hwang, Y.-D. Kim, Tay Jin Chua, Sangjin Jeong, Chan‐Hyun Youn, Yu Mi Jo and Dong‐Seon Shin and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Biomedical Engineering and Sustainability.

In The Last Decade

Sang‐Oh Shim

17 papers receiving 347 citations

Author Peers

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

Author						Papers	Cites
Sang‐Oh Shim	294	49	45	35	30	19	359
Sungbum Jun	219 0.7×	37 0.8×	23 0.5×	35 1.0×	27 0.9×	18	315
Reinaldo Moraga	232 0.8×	44 0.9×	62 1.4×	57 1.6×	41 1.4×	31	386
Kenneth L. Stott	198 0.7×	37 0.8×	30 0.7×	48 1.4×	25 0.8×	20	299
Gianfranco Pedone	135 0.5×	69 1.4×	43 1.0×	37 1.1×	23 0.8×	18	327
Enar A. Tunç	261 0.9×	54 1.1×	20 0.4×	85 2.4×	64 2.1×	14	370
Szilárd Jaskó	251 0.9×	33 0.7×	21 0.5×	47 1.3×	23 0.8×	19	378
David Koonce	215 0.7×	23 0.5×	68 1.5×	36 1.0×	14 0.5×	26	316
Martin Feldmann	252 0.9×	74 1.5×	53 1.2×	116 3.3×	77 2.6×	12	376
Ramasamy Panneerselvam	266 0.9×	18 0.4×	39 0.9×	25 0.7×	50 1.7×	20	383
Jae-Min Yu	249 0.8×	60 1.2×	35 0.8×	15 0.4×	55 1.8×	20	369

Countries citing papers authored by Sang‐Oh Shim

Since Specialization

Citations

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

Fields of papers citing papers by Sang‐Oh Shim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Oh Shim. 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 Sang‐Oh Shim. The network helps show where Sang‐Oh Shim may publish in the future.

Co-authorship network of co-authors of Sang‐Oh Shim

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Oh Shim. A scholar is included among the top collaborators of Sang‐Oh Shim 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 Sang‐Oh Shim. Sang‐Oh Shim 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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