Hang-Hyun Jo

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 Kingdom. Hang-Hyun Jo's co-authors include Kimmo Kaski, János Kertész, Raj Kumar Pan, Yohsuke Murase, János Török, 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hang-Hyun Jo South Korea	19	550	201	165	116	113	67	1.1k
J. G. Oliveira Portugal	9	779 1.4×	111 0.6×	176 1.1×	181 1.6×	121 1.1×	12	1.1k
Shi‐Min Cai China	18	822 1.5×	154 0.8×	92 0.6×	165 1.4×	165 1.5×	113	1.3k
Vincent Traag Netherlands	15	604 1.1×	198 1.0×	175 1.1×	43 0.4×	132 1.2×	41	1.3k
R. Dean Malmgren United States	9	441 0.8×	88 0.4×	135 0.8×	165 1.4×	60 0.5×	9	801
Raj Kumar Pan Finland	20	895 1.6×	213 1.1×	151 0.9×	337 2.9×	199 1.8×	31	1.9k
Alessio Cardillo Spain	14	624 1.1×	226 1.1×	510 3.1×	139 1.2×	171 1.5×	25	1.8k
Marija Mitrović Dankulov Serbia	14	402 0.7×	128 0.6×	48 0.3×	111 1.0×	48 0.4×	31	719
Ingo Scholtes Germany	14	569 1.0×	146 0.7×	41 0.2×	77 0.7×	274 2.4×	72	1.2k
Mahendra Piraveenan Australia	17	475 0.9×	163 0.8×	38 0.2×	79 0.7×	112 1.0×	57	1.0k
Saulo D. S. Reis Brazil	12	514 0.9×	95 0.5×	51 0.3×	47 0.4×	111 1.0×	20	756

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jo, Hang-Hyun, et al.. (2025). Analysis of the autocorrelation function for time series with higher-order temporal correlations: An exponential case. Physica D Nonlinear Phenomena. 481. 134779–134779.

Jo, Hang-Hyun, et al.. (2024). Temporal scaling theory for bursty time series with clusters of arbitrarily many events. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(8). 4 indexed citations

Jo, Hang-Hyun & Naoki Masuda. (2021). Finite-size effects on the convergence time in continuous-opinion dynamics. Physical review. E. 104(1). 14309–14309. 3 indexed citations

Jo, Hang-Hyun, et al.. (2021). Impact of environmental changes on the dynamics of temporal networks. PLoS ONE. 16(4). e0250612–e0250612. 2 indexed citations

Masuda, Naoki, et al.. (2020). Modeling temporal networks with bursty activity patterns of nodes and links. Physical Review Research. 2(2). 17 indexed citations

Murase, Yohsuke, Hang-Hyun Jo, János Török, János Kertész, & Kimmo Kaski. (2019). Structural transition in social networks: The role of homophily. Scientific Reports. 9(1). 4310–4310. 84 indexed citations

Jo, Hang-Hyun, et al.. (2019). Copula-based algorithm for generating bursty time series. Physical review. E. 100(2). 22307–22307. 9 indexed citations

Jo, Hang-Hyun, et al.. (2018). Limits of the memory coefficient in measuring correlated bursts. Physical review. E. 97(3). 32121–32121. 4 indexed citations

Jo, Hang-Hyun. (2017). Modeling correlated bursts by the bursty-get-burstier mechanism. Physical review. E. 96(6). 62131–62131. 9 indexed citations

10.

Jo, Hang-Hyun, et al.. (2017). Chaos and unpredictability in evolution of cooperation in continuous time. Physical review. E. 96(6). 62310–62310. 8 indexed citations

11.

Holme, Petter & Hang-Hyun Jo. (2016). Collective decision making with a mix of majority and minority seekers. Physical review. E. 93(5). 52308–52308. 5 indexed citations

12.

Eom, Young-Ho & Hang-Hyun Jo. (2014). Generalized friendship paradox in complex networks. arXiv (Cornell University). 5 indexed citations

13.

Jo, Hang-Hyun, Jari Saramäki, Robin Dunbar, & Kimmo Kaski. (2014). Dynamics of close relationships for the life-course migration.. arXiv (Cornell University). 2 indexed citations

14.

Jo, Hang-Hyun, Jari Saramäki, Robin Dunbar, & Kimmo Kaski. (2014). Spatial patterns of close relationships across the lifespan. Scientific Reports. 4(1). 6988–6988. 25 indexed citations

15.

Jo, Hang-Hyun, Raj Kumar Pan, Juan I. Perotti, & Kimmo Kaski. (2013). Contextual analysis framework for bursty dynamics. Physical Review E. 87(6). 62131–62131. 13 indexed citations

16.

Jo, Hang-Hyun, Raj Kumar Pan, & Kimmo Kaski. (2012). Time-varying priority queuing models for human dynamics. Physical Review E. 85(6). 66101–66101. 21 indexed citations

17.

Jo, Hang-Hyun, Márton Karsai, János Kertész, & Kimmo Kaski. (2011). Circadian pattern and burstiness in human communication activity. New Journal of Physics. 14(13055). 8 indexed citations

18.

Yang, Jae‐Suk, Jung-Kyoo Choi, & Hang-Hyun Jo. (2008). The Coevolution of Cooperation and Trait Distinction. 1(1). 5–13. 1 indexed citations

19.

Jo, Hang-Hyun, Soo Yong Kim, & Kyungsik Kim. (2006). Detrended fluctuation analysis in the Korean bond futures exchange market. Journal of the Korean Physical Society. 49(4). 1691–1693. 1 indexed citations

20.

Kwon, Okyu, Hang-Hyun Jo, & Hie‐Tae Moon. (2005). Effect of spatially correlated noise on coherence resonance in a network of excitable cells. Physical Review E. 72(6). 66121–66121. 47 indexed citations

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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