Kyle Shaffer
- Sociology and Political Science top 10%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Signal Processing
- Statistical and Nonlinear Physics
- Co-authors
- Nathan O. HodasSvitlana VolkovaJin Yea JangJaime ArguelloDustin ArendtLawrence PhillipsYiyi WangSteve DeNeefe
- Topics
- Topic Modeling (4 papers)Natural Language Processing Techniques (2 papers)Advanced Text Analysis Techniques (1 paper)
- Journals
- Proceedings of the International AAAI Conference on Web and Social Media
- Partner nations
- United States
In The Last Decade
Kyle Shaffer
5 papers receiving 213 citations
Peers
Comparison fields: 5 of 32
- Sociology and Political Science 187
- Information Systems 139
- Artificial Intelligence 126
- Signal Processing 40
- Statistical and Nonlinear Physics 28
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-authorship network of co-authors of Kyle Shaffer
This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Shaffer. A scholar is included among the top collaborators of Kyle Shaffer 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 Kyle Shaffer. Kyle Shaffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | 207 | |
| 5 | 6 |
About Kyle Shaffer
Kyle Shaffer is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, 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) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Information Systems (139 citations), Sociology and Political Science (187 citations) and Artificial Intelligence (126 citations). Kyle Shaffer has collaborated with scholars based in United States. Frequent co-authors include Nathan O. Hodas, Svitlana Volkova, Jin Yea Jang, Jaime Arguello, Dustin Arendt, Lawrence Phillips, Yiyi Wang, Steve DeNeefe and Melissa Roemmele. 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.