J. Nathan Matias
- Sociology and Political Science top 5%
- Communication top 2%
- Artificial Intelligence top 5%
- Information Systems top 10%
- Gender Studies top 10%
- Co-authors
- Devin GaffneySayamindu DasguptaBenjamin Mako HillElan C. HopeNeil A. LewisEthan ZuckermanCharles R. EbersoleKevin Munger
- Topics
- Hate Speech and Cyberbullying Detection (8 papers)Social Media and Politics (7 papers)Misinformation and Its Impacts (6 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
J. Nathan Matias
31 papers receiving 551 citations
Peers
Comparison fields: 5 of 78
- Sociology and Political Science 280
- Communication 255
- Artificial Intelligence 254
- Information Systems 72
- Gender Studies 64
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 of co-authors of J. Nathan Matias
This figure shows the co-authorship network connecting the top 25 collaborators of J. Nathan Matias. A scholar is included among the top collaborators of J. Nathan Matias 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 J. Nathan Matias. J. Nathan Matias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 16 | |
| 8 | 0 | |
| 9 | Adapting Security Warnings to Counter Misinformation | 1 |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | Whose Death Matters? A Quantitative Analysis of Media Attention to Deaths of Black Americans in Police Confrontations, 2013–2016 | 8 |
| 14 | 63 | |
| 15 | 3 | |
| 16 | 39 | |
| 17 | 26 | |
| 18 | Is Anyone Out There? Unpacking Q&A Hashtags on Twitter | 8 |
| 19 | 1 | |
| 20 | 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) and Misinformation and Its Impacts (6 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. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.