Kristopher Kyle

4.6k total citations · 2 hit papers
54 papers, 2.7k citations indexed

About

Kristopher Kyle is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Language and Linguistics. According to data from OpenAlex, Kristopher Kyle has authored 54 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 37 papers in Developmental and Educational Psychology and 12 papers in Language and Linguistics. Recurrent topics in Kristopher Kyle's work include Second Language Acquisition and Learning (35 papers), Natural Language Processing Techniques (35 papers) and Text Readability and Simplification (34 papers). Kristopher Kyle is often cited by papers focused on Second Language Acquisition and Learning (35 papers), Natural Language Processing Techniques (35 papers) and Text Readability and Simplification (34 papers). Kristopher Kyle collaborates with scholars based in United States, South Korea and Romania. Kristopher Kyle's co-authors include Scott A. Crossley, Danielle S. McNamara, Cynthia M. Berger, Mihai Dascălu, Masaki Eguchi, Minkyung Kim, Scott Jarvis, Stephen Skalicky, Laura K. Allen and Marjolijn Verspoor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Modern Language Journal and TESOL Quarterly.

In The Last Decade

Kristopher Kyle

52 papers receiving 2.5k citations

Hit Papers

Automatically Assessing Lexical Sophistication: Indices, ... 2014 2026 2018 2022 2014 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kristopher Kyle United States 25 1.5k 1.5k 737 643 409 54 2.7k
Philip M. McCarthy United States 16 1.5k 1.0× 1.3k 0.8× 514 0.7× 557 0.9× 553 1.4× 58 2.6k
Zhiqiang Cai United States 16 1.3k 0.8× 1.0k 0.7× 228 0.3× 273 0.4× 445 1.1× 55 2.2k
Paul Deane United States 27 546 0.4× 717 0.5× 426 0.6× 323 0.5× 795 1.9× 94 1.8k
Marjolijn Verspoor Netherlands 22 602 0.4× 1.4k 0.9× 1.5k 2.1× 796 1.2× 262 0.6× 89 2.7k
Scott Jarvis United States 25 1.1k 0.7× 1.7k 1.2× 1.5k 2.0× 749 1.2× 305 0.7× 43 3.1k
Brian North Canada 13 504 0.3× 1.1k 0.7× 2.4k 3.2× 2.0k 3.2× 1.2k 3.0× 26 4.1k
Paul Meara United Kingdom 32 1.3k 0.8× 2.7k 1.8× 2.3k 3.1× 833 1.3× 260 0.6× 112 3.9k
Marjorie Bingham Wesche Canada 20 495 0.3× 1.7k 1.1× 1.7k 2.3× 958 1.5× 414 1.0× 43 2.6k
Hilary Nesi United Kingdom 23 515 0.3× 715 0.5× 997 1.4× 844 1.3× 307 0.8× 88 1.7k
Ted Sanders Netherlands 30 976 0.6× 1.1k 0.7× 1.4k 2.0× 729 1.1× 480 1.2× 133 3.3k

Countries citing papers authored by Kristopher Kyle

Since Specialization
Citations

This map shows the geographic impact of Kristopher Kyle'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 Kristopher Kyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristopher Kyle more than expected).

Fields of papers citing papers by Kristopher Kyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kristopher Kyle. 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 Kristopher Kyle. The network helps show where Kristopher Kyle may publish in the future.

Co-authorship network of co-authors of Kristopher Kyle

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

All Works

20 of 20 papers shown
1.
Kyle, Kristopher, et al.. (2025). Usage-based analysis of L2 oral proficiency: Characteristics of argument structure construction use. Studies in Second Language Acquisition. 47(4). 991–1017.
2.
Kyle, Kristopher & Masaki Eguchi. (2024). Evaluating NLP models with written and spoken L2 samples. Research Methods in Applied Linguistics. 3(2). 100120–100120. 4 indexed citations
3.
4.
Eguchi, Masaki & Kristopher Kyle. (2024). Building custom NLP tools to annotate discourse-functional features for second language writing research: A tutorial. Research Methods in Applied Linguistics. 3(3). 100153–100153. 1 indexed citations
5.
Kyle, Kristopher, et al.. (2023). Assessing syntactic and lexicogrammatical use in second language Mandarin writing samples. Journal of Second Language Writing. 60. 101014–101014. 5 indexed citations
6.
Eguchi, Masaki & Kristopher Kyle. (2023). Span Identification of Epistemic Stance-Taking in Academic Written English. 429–442. 1 indexed citations
7.
Kyle, Kristopher. (2022). Some trends in vocabulary research: A discussion of three papers presented at the JALT Vocabulary SIG. SHILAP Revista de lepidopterología. 11(2). 38–47. 1 indexed citations
8.
Uchihara, Takumi, et al.. (2021). To What Extent is Collocation Knowledge Associated with Oral Proficiency? A Corpus-Based Approach to Word Association. Language and Speech. 65(2). 311–336. 15 indexed citations
9.
Kyle, Kristopher. (2020). The relationship between features of source text use and integrated writing quality. Assessing Writing. 45. 100467–100467. 24 indexed citations
10.
Crossley, Scott A., Kristopher Kyle, & Mihai Dascălu. (2018). The Tool for the Automatic Analysis of Cohesion 2.0: Integrating semantic similarity and text overlap. Behavior Research Methods. 51(1). 14–27. 98 indexed citations
11.
Crossley, Scott A., et al.. (2018). Beginning and intermediate L2 writer’s use of N-grams: an association measures study. IRAL - International Review of Applied Linguistics in Language Teaching. 58(1). 51–74. 23 indexed citations
12.
Berger, Cynthia M., Scott A. Crossley, & Kristopher Kyle. (2017). Using novel word context measures to predict human ratings of lexical proficiency. Educational Technology & Society. 20(2). 201–212. 10 indexed citations
13.
Kyle, Kristopher, Scott A. Crossley, & Cynthia M. Berger. (2017). The tool for the automatic analysis of lexical sophistication (TAALES): version 2.0. Behavior Research Methods. 50(3). 1030–1046. 186 indexed citations
14.
Crossley, Scott A., Kristopher Kyle, Jodi L. Davenport, & Danielle S. McNamara. (2016). Automatic assessment of constructed response data in a chemistry tutor. Educational Data Mining. 336–340. 8 indexed citations
15.
Kyle, Kristopher & Scott A. Crossley. (2016). The relationship between lexical sophistication and independent and source-based writing. Journal of Second Language Writing. 34. 12–24. 121 indexed citations
16.
Crossley, Scott A., Kristopher Kyle, & Danielle S. McNamara. (2015). To Aggregate or Not? Linguistic Features in Automatic Essay Scoring and Feedback Systems. eScholarship (California Digital Library). 8(1). 24 indexed citations
17.
Crossley, Scott A., Kristopher Kyle, & Danielle S. McNamara. (2015). The tool for the automatic analysis of text cohesion (TAACO): Automatic assessment of local, global, and text cohesion. Behavior Research Methods. 48(4). 1227–1237. 176 indexed citations
18.
Crossley, Scott A., Kristopher Kyle, Laura K. Allen, Liang Guo, & Danielle S. McNamara. (2014). Linguistic microfeatures to predict L2 writing proficiency: A case study in Automated Writing Evaluation. eScholarship (California Digital Library). 7(1). 32 indexed citations
19.
Kyle, Kristopher & Scott A. Crossley. (2014). Automatically Assessing Lexical Sophistication: Indices, Tools, Findings, and Application. TESOL Quarterly. 49(4). 757–786. 304 indexed citations breakdown →
20.
Kyle, Kristopher, Scott A. Crossley, Jianmin Dai, & Danielle S. McNamara. (2013). Native Language Identification: A Key N-gram Category Approach. 242–250. 5 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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