Soong Moon Kang

21 total papers · 933 total citations
14 papers, 679 citations indexed

About

Soong Moon Kang is a scholar working on Statistical and Nonlinear Physics, Transportation and Economics and Econometrics. According to data from OpenAlex, Soong Moon Kang has authored 14 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistical and Nonlinear Physics, 4 papers in Transportation and 4 papers in Economics and Econometrics. Recurrent topics in Soong Moon Kang's work include Complex Network Analysis Techniques (6 papers), Human Mobility and Location-Based Analysis (4 papers) and Urban Transport and Accessibility (2 papers). Soong Moon Kang is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Human Mobility and Location-Based Analysis (4 papers) and Urban Transport and Accessibility (2 papers). Soong Moon Kang collaborates with scholars based in United Kingdom, United States and Brazil. Soong Moon Kang's co-authors include Michael Batty, Marc Barthélemy, Camille Roth, Akshay Patil, Arnout van de Rijt, Michael Restivo, Ricardo Silva, Edoardo M. Airoldi, Daniel Stewart and Joe Cox and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Soong Moon Kang

13 papers receiving 652 citations

Hit Papers

Structure of Urban Moveme... 2011 2026 2016 2021 2011 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Soong Moon Kang 324 112 104 102 81 14 679
Mauro Martino 233 0.7× 36 0.3× 96 0.9× 115 1.1× 178 2.2× 14 667
Dániel Kondor 255 0.8× 108 1.0× 116 1.1× 50 0.5× 95 1.2× 30 731
Carlos Sarraute 227 0.7× 22 0.2× 70 0.7× 69 0.7× 67 0.8× 35 627
Nayomi Kankanamge 160 0.5× 76 0.7× 29 0.3× 233 2.3× 26 0.3× 22 742
Feng Chen 346 1.1× 202 1.8× 32 0.3× 127 1.2× 40 0.5× 24 725
Lorenzo Gabrielli 265 0.8× 48 0.4× 72 0.7× 217 2.1× 29 0.4× 45 671
Iris Lorscheid 43 0.1× 33 0.3× 85 0.8× 120 1.2× 49 0.6× 21 639
Monica Stephens 320 1.0× 20 0.2× 38 0.4× 212 2.1× 72 0.9× 12 794
John D. Nystuen 187 0.6× 121 1.1× 222 2.1× 106 1.0× 40 0.5× 28 727
Michael Macy 171 0.5× 11 0.1× 90 0.9× 232 2.3× 180 2.2× 9 639

Countries citing papers authored by Soong Moon Kang

Since Specialization
Citations

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

Fields of papers citing papers by Soong Moon Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soong Moon Kang

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