Sunghun Kim

160 total papers · 7.4k total citations
75 papers, 5.0k citations indexed

About

Sunghun Kim is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Sunghun Kim has authored 75 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Information Systems, 30 papers in Software and 17 papers in Computer Networks and Communications. Recurrent topics in Sunghun Kim's work include Software Engineering Research (40 papers), Software Testing and Debugging Techniques (21 papers) and Software Reliability and Analysis Research (19 papers). Sunghun Kim is often cited by papers focused on Software Engineering Research (40 papers), Software Testing and Debugging Techniques (21 papers) and Software Reliability and Analysis Research (19 papers). Sunghun Kim collaborates with scholars based in Hong Kong, South Korea and United States. Sunghun Kim's co-authors include Jaechang Nam, E. James Whitehead, Xiaodong Gu, Hongyu Zhang, Thomas Zimmermann, Yi Zhang, Sinno Jialin Pan, Dongmei Zhang, Nicolas Bettenburg and Rahul Premraj and has published in prestigious journals such as PLoS ONE, Advanced Science and IEEE Transactions on Software Engineering.

In The Last Decade

Sunghun Kim

69 papers receiving 4.8k citations

Hit Papers

Classifying Software Chan... 2008 2026 2014 2020 2008 2018 2016 2013 2009 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Sunghun Kim 4.3k 3.1k 1.3k 1.1k 821 75 5.0k
Lin Tan 3.8k 0.9× 2.8k 0.9× 1.7k 1.3× 1.3k 1.2× 829 1.0× 83 4.9k
Rainer Koschke 4.7k 1.1× 2.9k 0.9× 1.3k 1.0× 1.6k 1.4× 1.3k 1.6× 121 5.1k
David Binkley 4.6k 1.1× 4.2k 1.3× 975 0.7× 1.1k 1.0× 1.0k 1.2× 172 5.7k
Earl T. Barr 2.5k 0.6× 2.0k 0.7× 758 0.6× 982 0.9× 645 0.8× 69 3.4k
Andrea Arcuri 4.6k 1.1× 5.5k 1.8× 1.2k 0.9× 1.0k 0.9× 695 0.8× 118 6.6k
Lu Zhang 4.2k 1.0× 4.0k 1.3× 1.3k 1.0× 1.1k 1.0× 954 1.2× 158 5.6k
Miryung Kim 3.9k 0.9× 2.5k 0.8× 1.4k 1.0× 1.1k 1.0× 872 1.1× 114 4.7k
Giuliano Antoniol 5.6k 1.3× 3.5k 1.1× 1.5k 1.1× 1.8k 1.7× 1.1k 1.3× 227 6.6k
Andy Zaidman 4.4k 1.0× 2.6k 0.8× 1.7k 1.3× 896 0.8× 617 0.8× 175 5.1k
Serge Demeyer 3.3k 0.8× 2.2k 0.7× 969 0.7× 1.2k 1.1× 569 0.7× 166 3.7k

Countries citing papers authored by Sunghun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sunghun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunghun Kim

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