Hang-Hyun Jo

132 total papers · 1.7k total citations
67 papers, 1.1k citations indexed

About

Hang-Hyun Jo is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, Hang-Hyun Jo has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Statistical and Nonlinear Physics, 17 papers in Economics and Econometrics and 15 papers in Sociology and Political Science. Recurrent topics in Hang-Hyun Jo's work include Complex Network Analysis Techniques (45 papers), Opinion Dynamics and Social Influence (39 papers) and Complex Systems and Time Series Analysis (17 papers). Hang-Hyun Jo is often cited by papers focused on Complex Network Analysis Techniques (45 papers), Opinion Dynamics and Social Influence (39 papers) and Complex Systems and Time Series Analysis (17 papers). Hang-Hyun Jo collaborates with scholars based in South Korea, Finland and United States. Hang-Hyun Jo's co-authors include Kimmo Kaski, János Kertész, Raj Kumar Pan, János Török, Yohsuke Murase, Márton Karsai, Hie‐Tae Moon, Eun‐Kyeong Kim, Jari Saramäki and Okyu Kwon and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Scientific Reports.

In The Last Decade

Hang-Hyun Jo

62 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Hang-Hyun Jo 550 200 164 116 113 67 1.1k
Shi‐Min Cai 813 1.5× 153 0.8× 89 0.5× 166 1.4× 163 1.4× 113 1.2k
Vincent Traag 603 1.1× 198 1.0× 174 1.1× 43 0.4× 132 1.2× 41 1.3k
Eduardo López 620 1.1× 138 0.7× 114 0.7× 77 0.7× 167 1.5× 64 1.2k
Kun Zhao 329 0.6× 103 0.5× 279 1.7× 34 0.3× 123 1.1× 55 1.1k
Ingo Scholtes 563 1.0× 146 0.7× 41 0.3× 77 0.7× 274 2.4× 72 1.2k
Huijuan Wang 635 1.2× 112 0.6× 40 0.2× 143 1.2× 209 1.8× 76 1.3k
Mahendra Piraveenan 468 0.9× 163 0.8× 38 0.2× 73 0.6× 109 1.0× 56 997
Riccardo Gallotti 248 0.5× 333 1.7× 418 2.5× 71 0.6× 49 0.4× 41 1.2k
Duncan J. Watts 569 1.0× 359 1.8× 40 0.2× 131 1.1× 274 2.4× 25 1.4k
Alessandro Chessa 418 0.8× 92 0.5× 215 1.3× 377 3.3× 44 0.4× 47 1.2k

Countries citing papers authored by Hang-Hyun Jo

Since Specialization
Citations

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

Fields of papers citing papers by Hang-Hyun Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hang-Hyun Jo. 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 Hang-Hyun Jo. The network helps show where Hang-Hyun Jo may publish in the future.

Co-authorship network of co-authors of Hang-Hyun Jo

This figure shows the co-authorship network connecting the top 25 collaborators of Hang-Hyun Jo. A scholar is included among the top collaborators of Hang-Hyun Jo 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 Hang-Hyun Jo. Hang-Hyun Jo 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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2026