Tim Hwang

1.2k citations
16 papers · 539 · h-index 9

Impact in

Papers in

Tim Hwang

15 papers receiving 444 citations

Peers

Tim Hwang
Comparison fields: 5 of 87
  • Communication 129
  • Marketing 95
  • Sociology and Political Science 295
  • Safety Research 48
  • Automotive Engineering 45
Replace Kristy Milland with:
Kristy Milland United States
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Warut Khern-am-nuai Canada
Ben C. F. Choi Singapore
Esther Weltevrede Netherlands
Dongmin Kim Canada
Amirhossein Aleyasen United States
Sangyong Han South Korea
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Tim Hwang relative to Kristy Milland United States Kristy Milland's profile →
Citations per field
00.5×3.6×
Kristy Milland · 1×
Citations per year

Countries citing papers authored by Tim Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Tim Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tim Hwang, 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 Tim Hwang Line = papers co-authored together Tim Hwang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2020147
2 2017116
3 201297
4 201849
5
Discriminating Tastes: Customer Ratings as Vehicles for Bias
201636
6
Applying theory to practice: CARE’s journey piloting social norms measures for gender programming.
201722
7
Subprime Attention Crisis: Advertising and the Time Bomb at the Heart of the Internet
202019
8 201517
9 201714
10 20078
11 20174
12 20204
13 20142
14 20152
15
How to Think About Bots (Online Publication)
20161
16
Praise the Machine! Punish the Human!
20151

About Tim Hwang

Tim Hwang is a scholar working on Sociology and Political Science, Communication, Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 16 papers that have together received 539 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (3 papers), Spam and Phishing Detection (2 papers), Wikis in Education and Collaboration (2 papers), Misinformation and Its Impacts (2 papers), Digital Economy and Work Transformation (2 papers), Social Media and Politics (2 papers), Advanced Malware Detection Techniques (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Communication (129 citations), Marketing (95 citations), Sociology and Political Science (295 citations), Safety Research (48 citations) and Automotive Engineering (45 citations). Tim Hwang has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Solon Barocas, Karen Levy, Alex Rosenblat, Ian Pearce, Robert Gorwa, Daphne Keller, Chloe Wittenberg, Samuel Woolley, Francis Fukuyama and Rasmus Kleis Nielsen. Their work appears in journals such as interactions, Policy & Internet, Journal of Visual Culture, Network Security and SSRN Electronic Journal.

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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