Kyle Shaffer
Impact in
- Information Systems top 5%
- Spam and Phishing Detection
- Sociology and Political Science top 10%
- Misinformation and Its Impacts
Papers in
-
- Topic Modeling 4
- Natural Language Processing Techniques 2
- Advanced Text Analysis Techniques 1
- Authorship Attribution and Profiling 1
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- Misinformation and Its Impacts 1
- Co-authors
- Svitlana Volkova (2 shared papers)Nathan O. Hodas (2 shared papers)Jin Yea Jang (1 shared paper)Jaime Arguello (1 shared paper)Lawrence Phillips (1 shared paper)Dustin Arendt (1 shared paper)Melissa Roemmele (1 shared paper)Yiyi Wang (1 shared paper)
- Journals
- Proceedings of the International AAAI Conference on Web and Social Media (1 paper)
- Partner nations
- United States
In The Last Decade
Kyle Shaffer
5 papers receiving 213 citations
Peers
Comparison fields: 5 of 32
- Information Systems 139
- Sociology and Political Science 187
- Artificial Intelligence 126
- Signal Processing 40
- Communication 17
Countries citing papers authored by Kyle Shaffer
This map shows the geographic impact of Kyle Shaffer'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 Kyle Shaffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Shaffer more than expected).
Fields of papers citing papers by Kyle Shaffer
This network shows the impact of papers produced by Kyle Shaffer. 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 Kyle Shaffer. The network helps show where Kyle Shaffer may publish in the future.
Co-authors
The 9 scholars most cited alongside Kyle Shaffer, 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 | 2017 | 207 | |
| 2 | 2021 | 7 | |
| 3 | 2021 | 6 | |
| 4 | 2017 | 6 | |
| 5 | 2023 | 1 |
About Kyle Shaffer
Kyle Shaffer is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 5 papers that have together received 227 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (2 papers), Advanced Text Analysis Techniques (1 paper), Complex Network Analysis Techniques (1 paper), Authorship Attribution and Profiling (1 paper), Software Engineering Research (1 paper), Multimodal Machine Learning Applications (1 paper) and Misinformation and Its Impacts (1 paper). The work is most often cited by research in Information Systems (139 citations), Sociology and Political Science (187 citations), Artificial Intelligence (126 citations), Signal Processing (40 citations) and Communication (17 citations). Kyle Shaffer has collaborated with scholars based in United States. Frequent co-authors include Svitlana Volkova, Nathan O. Hodas, Jin Yea Jang, Jaime Arguello, Lawrence Phillips, Dustin Arendt, Melissa Roemmele, Yiyi Wang and Steve DeNeefe. Their work appears in journals such as Proceedings of the International AAAI Conference on Web and Social Media.
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.