Hyunmo Kang

56 total papers · 770 total citations
30 papers, 518 citations indexed

About

Hyunmo Kang is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Hyunmo Kang has authored 30 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Sociology and Political Science and 7 papers in Information Systems and Management. Recurrent topics in Hyunmo Kang's work include Data Visualization and Analytics (9 papers), Complex Network Analysis Techniques (6 papers) and Multimedia Communication and Technology (5 papers). Hyunmo Kang is often cited by papers focused on Data Visualization and Analytics (9 papers), Complex Network Analysis Techniques (6 papers) and Multimedia Communication and Technology (5 papers). Hyunmo Kang collaborates with scholars based in United States, South Korea and Switzerland. Hyunmo Kang's co-authors include Ben Shneiderman, Minhi Hahn, Yong J. Hyun, David Fortin, Catherine Plaisant, Benjamin B. Bederson, Lise Getoor, Bongshin Lee, Lisa Singh and Louis Licamele and has published in prestigious journals such as Journal of Business Research, Psychology and Marketing and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Hyunmo Kang

26 papers receiving 473 citations

Author Peers

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

Author						Papers	Cites
Hyunmo Kang	234	134	123	105	62	30	518
Masoud Mazloom	201 0.9×	237 1.8×	129 1.0×	44 0.4×	136 2.2×	24	535
Anna Bouch	129 0.6×	151 1.1×	33 0.3×	85 0.8×	50 0.8×	10	526
Jie Zhao	38 0.2×	139 1.0×	52 0.4×	78 0.7×	120 1.9×	52	562
Jaeung Lee	42 0.2×	200 1.5×	54 0.4×	78 0.7×	63 1.0×	31	451
Halina Mohamed Dahlan	52 0.2×	155 1.2×	75 0.6×	204 1.9×	138 2.2×	59	615
Mark Podlaseck	202 0.9×	91 0.7×	65 0.5×	92 0.9×	45 0.7×	33	534
Mike Gartrell	164 0.7×	121 0.9×	44 0.4×	34 0.3×	136 2.2×	25	617
Lori McCay‐Peet	58 0.2×	140 1.0×	30 0.2×	119 1.1×	52 0.8×	24	460
Chen Chen	211 0.9×	57 0.4×	34 0.3×	32 0.3×	171 2.8×	21	543
Giovanna Petrone	105 0.4×	111 0.8×	40 0.3×	85 0.8×	186 3.0×	36	580

Countries citing papers authored by Hyunmo Kang

Since Specialization

Citations

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

Fields of papers citing papers by Hyunmo Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyunmo Kang

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