Megan Li

406 citations
6 papers · 73 · h-index 3

Impact in

Papers in

    • Privacy, Security, and Data Protection 2
    • Consumer Market Behavior and Pricing 2
    • Consumer Behavior in Brand Consumption and Identification 1
    • Consumer Packaging Perceptions and Trends 1
Journals
Telecommunications Policy (1 paper)Proceedings of the AAAI/ACM Conference on AI Ethics and Society (1 paper)SSRN Electronic Journal (1 paper)CHI Conference on Human Factors in Computing Systems (1 paper)ArXiv.org (1 paper)
Partner nations
United States

In The Last Decade

Megan Li

4 papers receiving 73 citations

Peers

Megan Li
Comparison fields: 5 of 29
  • Human-Computer Interaction 15
  • Sociology and Political Science 57
  • Computer Science Applications 5
  • Safety Research 7
  • Clinical Psychology 15
Replace Philip Mai with:
Philip Mai Canada
Julia Angwin
Ramaravind Kommiya Mothilal India
Pilar Sánchez-García Spain
Jan-Hendrik Passoth Germany
Yann Mathet France
Daniel Le Métayer France
Aleksandra Kuczerawy Belgium
Zeerak Talat Canada
Boxi Wú United Kingdom
Megan Li relative to Philip Mai Canada Philip Mai's profile →
Citations per field
00.5×
Philip Mai · 1×
Citations per year

Countries citing papers authored by Megan Li

Since Specialization
Citations

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

Fields of papers citing papers by Megan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Megan Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Megan Li Line = papers co-authored together Megan Li links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 202258
2 202312
3 20242
4 20231
5 20260
6 20250

About Megan Li

Megan Li is a scholar working on Sociology and Political Science, Marketing, Strategy and Management, Clinical Psychology and Safety Research, having authored 6 papers that have together received 73 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (2 papers), Consumer Market Behavior and Pricing (2 papers), Digital Platforms and Economics (1 paper), Consumer Behavior in Brand Consumption and Identification (1 paper), Consumer Packaging Perceptions and Trends (1 paper), Innovative Human-Technology Interaction (1 paper), Sensory Analysis and Statistical Methods (1 paper) and Sexuality, Behavior, and Technology (1 paper). The work is most often cited by research in Human-Computer Interaction (15 citations), Sociology and Political Science (57 citations), Computer Science Applications (5 citations), Safety Research (7 citations) and Clinical Psychology (15 citations). Megan Li has collaborated with scholars based in United States. Frequent co-authors include Hana Habib, Lorrie Faith Cranor, Jon M. Peha, Christopher Choy, Jason Hong, Hong Shen, Hoda Heidari and Amy Winecoff. Their work appears in journals such as Telecommunications Policy, Proceedings of the AAAI/ACM Conference on AI Ethics and Society, SSRN Electronic Journal, CHI Conference on Human Factors in Computing Systems and ArXiv.org.

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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