Sungjin Im

49 papers and 336 indexed citations i.

About

Sungjin Im is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Sungjin Im has authored 49 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 25 papers in Industrial and Manufacturing Engineering and 19 papers in Computational Theory and Mathematics. Recurrent topics in Sungjin Im’s work include Optimization and Search Problems (37 papers), Scheduling and Optimization Algorithms (23 papers) and Combinatorial Optimization and Complexity Theory (16 papers). Sungjin Im is often cited by papers focused on Optimization and Search Problems (37 papers), Scheduling and Optimization Algorithms (23 papers) and Combinatorial Optimization and Complexity Theory (16 papers). Sungjin Im collaborates with scholars based in United States, The Netherlands and China. Sungjin Im's co-authors include Benjamin Moseley, Alina Ene, Kirk Pruhs, Janardhan Kulkarni, Kamesh Munagala, Yajun Wang, Kyle Fox, Jeff Edmonds, Ravishankar Krishnaswamy and Anupam Gupta and has published in prestigious journals such as Journal of the ACM, Mathematical Programming and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Sungjin Im i

Fields of papers citing papers by Sungjin Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sungjin Im

Since Specialization
Citations

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

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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2025