Tim Hwang
Impact in
- Communication top 5%
- Social Media and Politics
- Marketing top 10%
- Sharing Economy and Platforms
Papers in ⓘ
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- Social Media and Politics 2
- Wikis in Education and Collaboration 2
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- Digital Economy and Work Transformation 2
- Co-authors
- Solon Barocas (3 shared papers)Alex Rosenblat (3 shared papers)Karen Levy (3 shared papers)Ian Pearce (1 shared paper)Francis Fukuyama (1 shared paper)Nathaniel Persily (1 shared paper)Samuel Woolley (1 shared paper)Rasmus Kleis Nielsen (1 shared paper)
- Journals
- Policy & Internet (1 paper)interactions (1 paper)Journal of Visual Culture (1 paper)Network Security (1 paper)Cambridge University Press eBooks (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Tim Hwang
13 papers receiving 376 citations
Peers
Comparison fields: 5 of 79
- Communication 101
- Marketing 81
- Sociology and Political Science 239
- Safety Research 40
- Automotive Engineering 40
Countries citing papers authored by Tim Hwang
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
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 20 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 125 | |
| 2 | 2017 | 86 | |
| 3 | 2012 | 69 | |
| 4 | 2018 | 42 | |
| 5 | Discriminating Tastes: Customer Ratings as Vehicles for Bias | 2016 | 19 |
| 6 | Applying theory to practice: CARE’s journey piloting social norms measures for gender programming. | 2017 | 19 |
| 7 | Subprime Attention Crisis: Advertising and the Time Bomb at the Heart of the Internet | 2020 | 15 |
| 8 | 2015 | 13 | |
| 9 | 2017 | 9 | |
| 10 | 2007 | 6 | |
| 11 | 2017 | 4 | |
| 12 | 2015 | 2 | |
| 13 | 2014 | 1 | |
| 14 | Praise the Machine! Punish the Human! | 2015 | 1 |
About Tim Hwang
Tim Hwang is a scholar working on Communication, Sociology and Political Science, Information Systems, Artificial Intelligence and Safety Research, having authored 14 papers that have together received 411 indexed citations. Recurring topics across this work include Social Media and Politics (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Wikis in Education and Collaboration (2 papers), Digital Economy and Work Transformation (2 papers), Evacuation and Crowd Dynamics (1 paper), Spam and Phishing Detection (1 paper), Sharing Economy and Platforms (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Communication (101 citations), Marketing (81 citations), Sociology and Political Science (239 citations), Safety Research (40 citations) and Automotive Engineering (40 citations). Tim Hwang has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Solon Barocas, Alex Rosenblat, Karen Levy, Ian Pearce, Francis Fukuyama, Nathaniel Persily, Samuel Woolley, Rasmus Kleis Nielsen, Alexandra Siegel and Chloe Wittenberg. Their work appears in journals such as Policy & Internet, interactions, Journal of Visual Culture, Network Security and Cambridge University Press eBooks.
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.