Carole E. Chaski
- Artificial Intelligence top 5%
- Authorship Attribution and Profiling 5
- Hate Speech and Cyberbullying Detection 4
- Natural Language Processing Techniques 2
- Information Systems top 5%
- Software Engineering Research 1
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- Spanish Linguistics and Language Studies 1
- Historical Linguistics and Language Studies 1
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- Swearing, Euphemism, Multilingualism 1
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- Linguistic Variation and Morphology 1
Carole E. Chaski
9 papers receiving 261 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 251
- Information Systems 117
- Signal Processing 33
- Language and Linguistics 15
- Communication 9
Countries citing papers authored by Carole E. Chaski
This map shows the geographic impact of Carole E. Chaski'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 Carole E. Chaski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carole E. Chaski more than expected).
Fields of papers citing papers by Carole E. Chaski
This network shows the impact of papers produced by Carole E. Chaski. 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 Carole E. Chaski. The network helps show where Carole E. Chaski may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Carole E. Chaski, 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 | 2024 | 0 | |
| 2 | Best Practices and Admissibility of Forensic Author Identification | 2013 | 17 |
| 3 | 2011 | 2 | |
| 4 | Identifying Authorship by Byte-Level N-Grams: The Source Code Author Profile (SCAP) Method. | 2007 | 86 |
| 5 | 2007 | 5 | |
| 6 | Who's At The Keyboard? Authorship Attribution in Digital Evidence Investigations | 2005 | 107 |
| 7 | 2004 | 2 | |
| 8 | 2001 | 76 | |
| 9 | 1995 | 1 | |
| 10 | Networked Academic Publishing and the Rhetorics of Its Reception | 1992 | 4 |
| 11 | 1986 | 4 |
About Carole E. Chaski
Carole E. Chaski is a scholar working on Linguistics and Language, Language and Linguistics, Artificial Intelligence, Communication and Safety, Risk, Reliability and Quality, having authored 11 papers that have together received 304 indexed citations. Recurring topics across this work include Authorship Attribution and Profiling (5 papers), Hate Speech and Cyberbullying Detection (4 papers), Natural Language Processing Techniques (2 papers), Linguistic Variation and Morphology (1 paper), Spanish Linguistics and Language Studies (1 paper), Swearing, Euphemism, Multilingualism (1 paper), Historical Linguistics and Language Studies (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Artificial Intelligence (251 citations), Information Systems (117 citations), Signal Processing (33 citations), Language and Linguistics (15 citations) and Communication (9 citations). Carole E. Chaski has collaborated with scholars based in United States and Russia. Frequent co-authors include Georgia Frantzeskou, Stefanos Gritzalis, Blake Stephen Howald, Efstathios Stamatatos, Lyle Ungar and John Unsworth. Their work appears in journals such as American Speech, Oceanic Linguistics, International Journal of Speech Language and the Law, Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) and International Journal of Science and Research Archive.
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.