Justin Song

49 total papers · 477 total citations
34 papers, 255 citations indexed

About

Justin Song is a scholar working on Sociology and Political Science, Information Systems and Artificial Intelligence. According to data from OpenAlex, Justin Song has authored 34 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 10 papers in Information Systems and 9 papers in Artificial Intelligence. Recurrent topics in Justin Song's work include Crime Patterns and Interventions (11 papers), Web Data Mining and Analysis (5 papers) and Data Management and Algorithms (5 papers). Justin Song is often cited by papers focused on Crime Patterns and Interventions (11 papers), Web Data Mining and Analysis (5 papers) and Data Management and Algorithms (5 papers). Justin Song collaborates with scholars based in Canada, South Korea and United States. Justin Song's co-authors include Wookey Lee, Patricia L. Brantingham, Martin A. Andresen, Carson K. Leung, Soo‐Bok Lee, Andrew Park, Richard Frank, Vaughan Grimes, Victor C. S. Lee and Martin Steskal and has published in prestigious journals such as BMC Bioinformatics, Journal of Environmental Psychology and Applied Geography.

In The Last Decade

Justin Song

32 papers receiving 247 citations

Author Peers

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

Author						Papers	Cites
Justin Song	88	58	57	49	37	34	255
Johannes Langguth	85 1.0×	90 1.6×	47 0.8×	78 1.6×	86 2.3×	44	321
Corrado Moiso	36 0.4×	99 1.7×	70 1.2×	53 1.1×	5 0.1×	29	200
Jalal Kawash	34 0.4×	85 1.5×	39 0.7×	41 0.8×	47 1.3×	48	197
Javier Conejero	24 0.3×	116 2.0×	106 1.9×	36 0.7×	34 0.9×	19	229
S. Klous	12 0.1×	51 0.9×	37 0.6×	47 1.0×	9 0.2×	29	300
Yepeng Yao	15 0.2×	108 1.9×	26 0.5×	89 1.8×	9 0.2×	23	246
Fabio Pianese	27 0.3×	253 4.4×	88 1.5×	30 0.6×	7 0.2×	21	325
Raza Ul Mustafa	44 0.5×	48 0.8×	47 0.8×	75 1.5×	3 0.1×	23	227
Wang Gao	38 0.4×	25 0.4×	95 1.7×	203 4.1×	7 0.2×	29	301
Wei Kang	57 0.6×	12 0.2×	31 0.5×	98 2.0×	4 0.1×	31	307

Countries citing papers authored by Justin Song

Since Specialization

Citations

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

Fields of papers citing papers by Justin Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Song

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