Gene Moo Lee

700 total citations
34 papers, 437 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 34 papers receiving a total of 437 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), Spam and Phishing Detection (5 papers) and Information and Cyber Security (5 papers). Gene Moo Lee is often cited by papers focused on Digital Marketing and Social Media (10 papers), Spam and Phishing Detection (5 papers) and Information and Cyber Security (5 papers). Gene Moo Lee collaborates with scholars based in United States, Canada and Germany. Gene Moo Lee's co-authors include Liangfei Qiu, Andrew B. Whinston, Shu He, Andrew B. Whinston, Kuang-Chih Lee, Donghyuk Shin, Suleyman Cetintas, Young Kwark, Paul A. Pavlou and Zhan Shi 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

31 papers receiving 417 citations

Peers

Gene Moo Lee
Comparison fields: 5 of 68
  • Sociology and Political Science 186
  • Marketing 103
  • Artificial Intelligence 102
  • Information Systems 63
  • Management Information Systems 52
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Citations per field, relative to Gene Moo Lee
Gene Moo Lee · 1×
Citations per year, relative to Gene Moo Lee
Gene Moo Lee · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 7
4 8
5 48
6 11
7 3
8 140
9 2
10
A Pan-Asian Field Experiment of Organizational Awareness to Information Security and Preparedness Against Cybercrime
1
11 1
12
The Spillover Effects of User-Generated Online Product Reviews on Purchases: Evidence from Clickstream Data
4
13
A Comparative Analysis of Univariate Time Series Methods for Estimating and Forecasting Daily Spam in United States
2
14 7
15 3
16 1
17 1
18 2
19 9
20 13

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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