Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Linguistic Features of Writing Quality
2009367 citationsDanielle S. McNamara, Scott A. Crossley et al.profile →
Automatically Assessing Lexical Sophistication: Indices, Tools, Findings, and Application
2014304 citationsKristopher Kyle, Scott A. Crossleyprofile →
Measuring Syntactic Complexity in L2 Writing Using Fine‐Grained Clausal and Phrasal Indices
2018218 citationsKristopher Kyle, Scott A. Crossleyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Scott A. Crossley
Since
Specialization
Citations
This map shows the geographic impact of Scott A. Crossley'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 Scott A. Crossley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott A. Crossley more than expected).
Fields of papers citing papers by Scott A. Crossley
This network shows the impact of papers produced by Scott A. Crossley. 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 Scott A. Crossley. The network helps show where Scott A. Crossley may publish in the future.
Co-authorship network of co-authors of Scott A. Crossley
This figure shows the co-authorship network connecting the top 25 collaborators of Scott A. Crossley.
A scholar is included among the top collaborators of Scott A. Crossley 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 Scott A. Crossley. Scott A. Crossley is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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
9.
Crossley, Scott A., Mihai Dascălu, Ștefan Trăușan-Matu, Laura K. Allen, & Danielle S. McNamara. (2016). Document Cohesion Flow: Striving towards Coherence. Cognitive Science.2 indexed citations
10.
Allen, Laura K., Caitlin Mills, Matthew E. Jacovina, et al.. (2016). Investigating Boredom and Engagement during Writing Using Multiple Sources of Information: The Essay, the Writer, and Keystrokes.. Grantee Submission.1 indexed citations
11.
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
12.
Crossley, Scott A. & Danielle S. McNamara. (2014). Developing Component Scores from Natural Language Processing Tools to Assess Human Ratings of Essay Quality.. The Florida AI Research Society. 381–386.4 indexed citations
13.
Allen, Laura K., et al.. (2014). The Importance of Grammar and Mechanics in Writing Assessment and Instruction: Evidence from Data Mining.. Grantee Submission.6 indexed citations
14.
Roscoe, Rod D., et al.. (2013). Developing Pedagogically-Guided Algorithms for Intelligent Writing Feedback.. Grantee Submission. 8(4). 362–381.1 indexed citations
15.
Jarvis, Scott & Scott A. Crossley. (2012). Approaching language transfer through text classification : explorations in the detection-based approach. Multilingual Matters eBooks.31 indexed citations
16.
Feng, Shi, Zhiqiang Cai, Scott A. Crossley, & Danielle S. McNamara. (2011). Simulating human ratings on word concreteness. The Florida AI Research Society. 245–250.9 indexed citations
17.
Weston, Jennifer L., Scott A. Crossley, Philip M. McCarthy, & Danielle S. McNamara. (2011). Number of Words Versus Number Ideas: Finding a Better Predictor of Writing Quality. The Florida AI Research Society. 335–340.3 indexed citations
18.
Weston, Jennifer L., Scott A. Crossley, & Danielle S. McNamara. (2010). Towards A Computational Assessment of Freewriting Quality. The Florida AI Research Society. 283–288.3 indexed citations
19.
Crossley, Scott A., David F. Dufty, Philip M. McCarthy, & Danielle S. McNamara. (2007). Toward a New Readability: A Mixed Model Approach. eScholarship (California Digital Library). 29(29).35 indexed citations
20.
Crossley, Scott A., Philip M. McCarthy, & Danielle S. McNamara. (2007). Discriminating between second language learning text-types. The Florida AI Research Society. 205–210.11 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.