Gene Moo Lee

56 total papers · 713 total citations
35 papers, 438 citations indexed

About

Gene Moo Lee is a scholar working on Sociology and Political Science, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Gene Moo Lee has authored 35 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 8 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Gene Moo Lee's work include Digital Marketing and Social Media (10 papers), Information and Cyber Security (5 papers) and Spam and Phishing Detection (5 papers). Gene Moo Lee is often cited by papers focused on Digital Marketing and Social Media (10 papers), Information and Cyber Security (5 papers) and Spam and Phishing Detection (5 papers). Gene Moo Lee collaborates with scholars based in United States, Canada and Hong Kong. Gene Moo Lee's co-authors include Liangfei Qiu, Shu He, Andrew B. Whinston, Donghyuk Shin, Andrew B. Whinston, Suleyman Cetintas, Kuang-Chih Lee, Paul A. Pavlou, Young Kwark and Joo-Won Lee and has published in prestigious journals such as MIS Quarterly, Journal of Business Ethics and Information Systems Research.

In The Last Decade

Gene Moo Lee

32 papers receiving 419 citations

Author Peers

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

Author Last Decade Papers Cites
Gene Moo Lee 188 104 103 63 54 35 438
Spyros Angelopoulos 151 0.8× 53 0.5× 76 0.7× 60 1.0× 68 1.3× 38 447
Rajhans Mishra 124 0.7× 77 0.7× 82 0.8× 129 2.0× 33 0.6× 25 407
Gerard Briscoe 93 0.5× 137 1.3× 67 0.7× 134 2.1× 58 1.1× 23 491
Xue Bai 182 1.0× 78 0.8× 44 0.4× 53 0.8× 47 0.9× 32 376
Michael Scholz 156 0.8× 143 1.4× 86 0.8× 84 1.3× 34 0.6× 39 454
Suleyman Cetintas 80 0.4× 88 0.8× 159 1.5× 120 1.9× 36 0.7× 23 414
Hsuanwei Michelle Chen 196 1.0× 58 0.6× 45 0.4× 73 1.2× 59 1.1× 16 397
Shan Wang 205 1.1× 99 1.0× 57 0.6× 65 1.0× 40 0.7× 44 489
Shu He 179 1.0× 139 1.3× 72 0.7× 49 0.8× 55 1.0× 25 395
Aaron M. French 216 1.1× 64 0.6× 66 0.6× 122 1.9× 52 1.0× 46 476

Countries citing papers authored by Gene Moo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Gene Moo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gene Moo Lee. 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 Gene Moo Lee. The network helps show where Gene Moo Lee may publish in the future.

Co-authorship network of co-authors of Gene Moo Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Gene Moo Lee. A scholar is included among the top collaborators of Gene Moo Lee 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 Gene Moo Lee. Gene Moo Lee 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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