Carole E. Chaski

670 total citations
11 papers, 304 citations indexed

About

Carole E. Chaski is a scholar working on Artificial Intelligence, Language and Linguistics and Communication. According to data from OpenAlex, Carole E. Chaski has authored 11 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Language and Linguistics and 1 paper in Communication. Recurrent topics in Carole E. Chaski's work include Authorship Attribution and Profiling (5 papers), Hate Speech and Cyberbullying Detection (4 papers) and Natural Language Processing Techniques (2 papers). Carole E. Chaski is often cited by papers focused on Authorship Attribution and Profiling (5 papers), Hate Speech and Cyberbullying Detection (4 papers) and Natural Language Processing Techniques (2 papers). Carole E. Chaski collaborates with scholars based in United States and Russia. Carole E. Chaski's co-authors include Georgia Frantzeskou, Stefanos Gritzalis, Blake Stephen Howald, Efstathios Stamatatos, Lyle Ungar and John Unsworth and has published in prestigious journals such as American Speech, Oceanic Linguistics and International Journal of Speech Language and the Law.

In The Last Decade

Carole E. Chaski

9 papers receiving 261 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Carole E. Chaski United States	5	251	117	36	33	15	11	304
Calvin Thomas United States	5	235 0.9×	108 0.9×	49 1.4×	25 0.8×	6 0.4×	21	341
Andrew Caines United Kingdom	9	163 0.6×	54 0.5×	25 0.7×	15 0.5×	6 0.4×	40	226
Suguru Matsuyoshi Japan	10	235 0.9×	54 0.5×	20 0.6×	8 0.2×	10 0.7×	33	268
Francisco Rangel Spain	9	323 1.3×	155 1.3×	99 2.8×	22 0.7×	14 0.9×	20	376
Peter Bourgonje Germany	7	144 0.6×	63 0.5×	86 2.4×	19 0.6×	8 0.5×	24	187
Véronique Moriceau France	9	227 0.9×	56 0.5×	29 0.8×	13 0.4×	5 0.3×	32	260
AbdelRahim Elmadany Canada	9	418 1.7×	46 0.4×	46 1.3×	12 0.4×	29 1.9×	34	457
E.F. Tjong Kim Sang Netherlands	7	237 0.9×	33 0.3×	13 0.4×	12 0.4×	34 2.3×	23	296
Shardul Suryawanshi Ireland	6	271 1.1×	38 0.3×	43 1.2×	35 1.1×	6 0.4×	9	287
Syed Sarfaraz Akhtar India	6	267 1.1×	46 0.4×	14 0.4×	28 0.8×	9 0.6×	11	282

Countries citing papers authored by Carole E. Chaski

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Carole E. Chaski

This figure shows the co-authorship network connecting the top 25 collaborators of Carole E. Chaski. A scholar is included among the top collaborators of Carole E. Chaski 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 Carole E. Chaski. Carole E. Chaski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Chaski, Carole E., et al.. (2024). Emotion analysis based on belief of targeted individual supporting insider threat detection. International Journal of Science and Research Archive. 11(2). 226–237.

Chaski, Carole E.. (2013). Best Practices and Admissibility of Forensic Author Identification. Journal of law and policy. 21(2). 5. 17 indexed citations

Ungar, Lyle, et al.. (2011). IntentFinder: A system for discovering significant information implicit in large, heterogeneous document collections and computationally mapping social networks and command nodes. 219–223. 2 indexed citations

Frantzeskou, Georgia, Efstathios Stamatatos, Stefanos Gritzalis, Carole E. Chaski, & Blake Stephen Howald. (2007). Identifying Authorship by Byte-Level N-Grams: The Source Code Author Profile (SCAP) Method.. 6. 86 indexed citations

Chaski, Carole E.. (2007). Empirical evaluations of language-based author identification techniques. International Journal of Speech Language and the Law. 8(1). 5 indexed citations

Chaski, Carole E.. (2005). Who's At The Keyboard? Authorship Attribution in Digital Evidence Investigations. 4. 107 indexed citations

Chaski, Carole E.. (2004). Review of Forensic Linguistics: An Introduction to Language, Crime and the Law by John Olsson -- NOTE: PDF Unavailable. International Journal of Speech Language and the Law. 11(2). 1–1. 2 indexed citations

Chaski, Carole E.. (2001). Empirical evaluations of language-based author identification techniques. International Journal of Speech Language and the Law. 8(1). 1–65. 76 indexed citations

Chaski, Carole E.. (1995). The Future Pluperfect: Double Tenses in American English Auxiliaries. American Speech. 70(1). 3–3. 1 indexed citations

10.

Unsworth, John, et al.. (1992). Networked Academic Publishing and the Rhetorics of Its Reception. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 4 indexed citations

11.

Chaski, Carole E.. (1986). Linear and Metrical Analyses of Manam Stress. Oceanic Linguistics. 25(1/2). 167–167. 4 indexed citations

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.

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