J. Nathan Matias
- Communication top 2%
- Social Media and Politics 7
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- Mobile Crowdsensing and Crowdsourcing 4
- Open Source Software Innovations 3
- Artificial Intelligence top 5%
- Hate Speech and Cyberbullying Detection 8
- Gender Studies top 10%
- Gender, Feminism, and Media 3
- Human-Computer Interaction top 10%
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- Misinformation and Its Impacts 6
- Privacy, Security, and Data Protection 2
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- Ethics and Social Impacts of AI 3
- Co-authors
- Devin GaffneySayamindu DasguptaBenjamin Mako HillElan C. HopeNeil A. LewisEthan ZuckermanCharles R. EbersoleKevin Munger
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
J. Nathan Matias
31 papers receiving 551 citations
Peers
Comparison fields: 5 of 78
- Communication 255
- Computer Science Applications 50
- Artificial Intelligence 254
- Gender Studies 64
- Human-Computer Interaction 36
Countries citing papers authored by J. Nathan Matias
This map shows the geographic impact of J. Nathan Matias'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 J. Nathan Matias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Nathan Matias more than expected).
Fields of papers citing papers by J. Nathan Matias
This network shows the impact of papers produced by J. Nathan Matias. 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 J. Nathan Matias. The network helps show where J. Nathan Matias may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Nathan Matias, 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 | 2025 | 2 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 17 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 0 | |
| 9 | Adapting Security Warnings to Counter Misinformation | 2020 | 1 |
| 10 | 2020 | 2 | |
| 11 | 2020 | 2 | |
| 12 | 2019 | 1 | |
| 13 | Whose Death Matters? A Quantitative Analysis of Media Attention to Deaths of Black Americans in Police Confrontations, 2013–2016 | 2019 | 8 |
| 14 | 2018 | 63 | |
| 15 | 2018 | 3 | |
| 16 | 2018 | 39 | |
| 17 | 2016 | 26 | |
| 18 | Is Anyone Out There? Unpacking Q&A Hashtags on Twitter | 2015 | 8 |
| 19 | 2015 | 1 | |
| 20 | 2010 | 2 |
About J. Nathan Matias
J. Nathan Matias is a scholar working on Communication, Computer Science Applications and Human-Computer Interaction, having authored 33 papers that have together received 580 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (8 papers), Social Media and Politics (7 papers), Misinformation and Its Impacts (6 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Open Source Software Innovations (3 papers), Gender, Feminism, and Media (3 papers), Ethics and Social Impacts of AI (3 papers) and Privacy, Security, and Data Protection (2 papers). The work is most often cited by research in Communication (255 citations), Computer Science Applications (50 citations) and Artificial Intelligence (254 citations). J. Nathan Matias has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Devin Gaffney, Sayamindu Dasgupta, Benjamin Mako Hill, Elan C. Hope, Neil A. Lewis, Ethan Zuckerman, Charles R. Ebersole, Kevin Munger, Casey Fiesler and David P. Williams.
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.