Jonathan Stray
Impact in
- Health Informatics top 10%
- Communication top 10%
- Social Media and Politics
- Media Studies and Communication
Papers in ⓘ
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- Natural Language Processing Techniques 2
- Hate Speech and Cyberbullying Detection 2
- Topic Modeling 2
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- Misinformation and Its Impacts 2
- Co-authors
- Matthew Brehmer (1 shared paper)Stephen Ingram (1 shared paper)Tamara Munzner (1 shared paper)Richard McElreath (1 shared paper)Thomas L. Griffiths (1 shared paper)Pierre-Yves Oudeyer (1 shared paper)Ravi Iyer (2 shared papers)Iyad Rahwan (1 shared paper)
- Journals
- First Monday (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Annals of the New York Academy of Sciences (1 paper)Nature Human Behaviour (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Jonathan Stray
9 papers receiving 235 citations
Peers
Comparison fields: 5 of 64
- Health Informatics 12
- Communication 50
- Safety Research 49
- General Social Sciences 15
- Computer Science Applications 18
Countries citing papers authored by Jonathan Stray
This map shows the geographic impact of Jonathan Stray'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 Jonathan Stray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Stray more than expected).
Fields of papers citing papers by Jonathan Stray
This network shows the impact of papers produced by Jonathan Stray. 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 Jonathan Stray. The network helps show where Jonathan Stray may publish in the future.
Co-authors
The 22 scholars most cited alongside Jonathan Stray, 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 | 2019 | 94 | |
| 2 | 2014 | 57 | |
| 3 | 2023 | 42 | |
| 4 | 2020 | 29 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 10 | |
| 7 | 2023 | 4 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Jonathan Stray
Jonathan Stray is a scholar working on Artificial Intelligence, Sociology and Political Science, Communication, Information Systems and Statistical and Nonlinear Physics, having authored 11 papers that have together received 251 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Social Media and Politics (2 papers), Misinformation and Its Impacts (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Topic Modeling (2 papers), Web Data Mining and Analysis (2 papers), Complex Network Analysis Techniques (1 paper) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in Health Informatics (12 citations), Communication (50 citations), Safety Research (49 citations), General Social Sciences (15 citations) and Computer Science Applications (18 citations). Jonathan Stray has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Matthew Brehmer, Stephen Ingram, Tamara Munzner, Richard McElreath, Thomas L. Griffiths, Pierre-Yves Oudeyer, Ravi Iyer, Iyad Rahwan, Joel Z. Leibo and Alberto Acerbi. Their work appears in journals such as First Monday, IEEE Transactions on Visualization and Computer Graphics, Annals of the New York Academy of Sciences, Nature Human Behaviour and PLoS ONE.
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.