Jaejin Jang

61 total papers · 538 total citations
36 papers, 411 citations indexed

About

Jaejin Jang is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Computer Networks and Communications. According to data from OpenAlex, Jaejin Jang has authored 36 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Industrial and Manufacturing Engineering, 11 papers in Management Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Jaejin Jang's work include Scheduling and Optimization Algorithms (12 papers), Advanced Manufacturing and Logistics Optimization (10 papers) and Supply Chain and Inventory Management (8 papers). Jaejin Jang is often cited by papers focused on Scheduling and Optimization Algorithms (12 papers), Advanced Manufacturing and Logistics Optimization (10 papers) and Supply Chain and Inventory Management (8 papers). Jaejin Jang collaborates with scholars based in United States, South Korea and Egypt. Jaejin Jang's co-authors include Pyung-Hoi Koo, Xiaohang Yue, Matthew E.H. Petering, Im Y. Jung, Placid M. Ferreira, Shimon Y. Nof, Jong Hyuk Park, Ho-Chan Kim, Jay Lee and Seok‐Hee Lee and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Production Economics.

In The Last Decade

Jaejin Jang

36 papers receiving 388 citations

Author Peers

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

Author						Papers	Cites
Jaejin Jang	301	55	53	51	45	36	411
Sergio García	237 0.8×	50 0.9×	103 1.9×	32 0.6×	35 0.8×	24	467
Andréa Cynthia Santos	237 0.8×	66 1.2×	46 0.9×	65 1.3×	57 1.3×	41	420
Gyu M. Lee	197 0.7×	64 1.2×	63 1.2×	37 0.7×	54 1.2×	35	484
Seokgi Lee	272 0.9×	43 0.8×	67 1.3×	23 0.5×	58 1.3×	33	448
P. Simin Pulat	218 0.7×	45 0.8×	49 0.9×	29 0.6×	23 0.5×	39	428
Kai Furmans	274 0.9×	46 0.8×	60 1.1×	48 0.9×	35 0.8×	85	416
Giovanni Andreatta	153 0.5×	64 1.2×	41 0.8×	42 0.8×	51 1.1×	33	482
Jing-fang Chen	294 1.0×	32 0.6×	59 1.1×	49 1.0×	63 1.4×	26	477
Gary E. Whitehouse	252 0.8×	28 0.5×	54 1.0×	52 1.0×	17 0.4×	26	485
Sebastian Stiller	191 0.6×	33 0.6×	25 0.5×	74 1.5×	41 0.9×	37	425

Countries citing papers authored by Jaejin Jang

Since Specialization

Citations

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

Fields of papers citing papers by Jaejin Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaejin Jang. 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 Jaejin Jang. The network helps show where Jaejin Jang may publish in the future.

Co-authorship network of co-authors of Jaejin Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Jaejin Jang. A scholar is included among the top collaborators of Jaejin Jang 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 Jaejin Jang. Jaejin Jang 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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