World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
12992
World Ranking
4062
National Ranking
1933

Social Sciences and Humanities

D-Index
60
Citations
14705
World Ranking
1459
National Ranking
697

Overview

Scott A. Crossley is affiliated with Vanderbilt University in the United States. Their research spans multiple fields, primarily within Computer Science and Psychology, with a focus on specific subfields including Artificial Intelligence, Developmental and Educational Psychology, Education, General Health Professions, and Language and Linguistics.

Their main research topics encompass:

  • Text Readability and Simplification
  • Natural Language Processing Techniques
  • Topic Modeling
  • Second Language Acquisition and Learning
  • Writing and Handwriting Education
  • EFL/ESL Teaching and Learning
  • Health Literacy and Information Accessibility

Scott A. Crossley has contributed frequently to several publication venues, including:

  • Journal of Writing Research
  • International Journal of Artificial Intelligence in Education
  • Behavior Research Methods
  • Assessing Writing
  • 2022 International Conference on Advanced Learning Technologies (ICALT)

Among their recent papers are:

  • Linguistic features in writing quality and development: An overview, 2020, Journal of Writing Research
  • A large-scaled corpus for assessing text readability, 2022, Behavior Research Methods

Frequent co-authors with whom Scott A. Crossley has collaborated include:

  • Danielle S. McNamara
  • Langdon Holmes
  • Mihai Dascălu
  • Minkyung Kim
  • Wesley Morris

Best Publications

  • Linguistic Features of Writing Quality

    Danielle S. McNamara;Scott A. Crossley;Philip M. McCarthy

  • Automatically Assessing Lexical Sophistication: Indices, Tools, Findings, and Application

    Kristopher Kyle;Scott A. Crossley

  • A Linguistic Analysis of Simplified and Authentic Texts

    Scotta A. Crossley;Maxm M. Louwerse;Phillip M. McCarthy;Danielle McNamara

  • Assessing Text Readability Using Cognitively Based Indices

    Scott A. Crossley;Jerry Greenfield;Danielle S. McNAMARA

  • Predicting Second Language Writing Proficiency: The Roles of Cohesion and Linguistic Sophistication

    Scott A. Crossley;Danielle S. McNamara

  • Measuring Syntactic Complexity in L2 Writing Using Fine-Grained Clausal and Phrasal Indices.

    Kristopher Kyle;Scott A. Crossley

  • The tool for the automatic analysis of lexical sophistication (TAALES): version 2.0

    Kristopher Kyle;Scott Crossley;Cynthia Berger

  • The tool for the automatic analysis of text cohesion (TAACO): Automatic assessment of local, global, and text cohesion

    Scott A. Crossley;Kristopher Kyle;Danielle S. McNamara

  • Does writing development equal writing quality? A computational investigation of syntactic complexity in L2 learners

    Scott A. Crossley;Danielle S. McNamara

  • Predicting human judgments of essay quality in both integrated and independent second language writing samples: A comparison study

    Liang Guo;Scott A. Crossley;Danielle S. McNamara

  • Computational assessment of lexical differences in L1 and L2 writing

    Scott A. Crossley;Danielle S. McNamara

  • Text readability and intuitive simplification: A comparison of readability formulas

    Scott A. Crossley;David B. Allen;Danielle S. McNamara

  • Predicting lexical proficiency in language learner texts using computational indices

    Scott A. Crossley;Tom Salsbury;Danielle S. McNamara;Scott Jarvis

  • The development and use of cohesive devices in L2 writing and their relations to judgments of essay quality

    Scott A. Crossley;Kristopher Kyle;Danielle S. McNamara

  • The Development of Writing Proficiency as a Function of Grade Level: A Linguistic Analysis:

    Scott A. Crossley;Jennifer L. Weston;Susan T. McLain Sullivan;Danielle S. McNamara

  • Sentiment Analysis and Social Cognition Engine (SEANCE): An automatic tool for sentiment, social cognition, and social-order analysis

    Scott A. Crossley;Kristopher Kyle;Danielle S. McNamara

  • A Hierarchical Classification Approach to Automated Essay Scoring.

    Danielle S. McNamara;Scott A. Crossley;Rod D. Roscoe;Laura K. Allen

  • Linguistic features in writing quality and development: An overview

    Scott Crossley

  • Natural language processing in an intelligent writing strategy tutoring system

    Danielle S. McNamara;Scott A. Crossley;Rod Roscoe

  • The relationship between lexical sophistication and independent and source-based writing

    Kristopher Kyle;Scott Crossley

  • The Development of Polysemy and Frequency Use in English Second Language Speakers

    Scott Crossley;Tom Salsbury;Danielle McNamara

Frequent Co-Authors

Danielle S. McNamara
Danielle S. McNamara Arizona State University
Ryan S. Baker
Ryan S. Baker University of Pennsylvania
Zhiqiang Cai
Zhiqiang Cai Purdue University West Lafayette
Tiffany Barnes
Tiffany Barnes North Carolina State University
Kevyn Collins-Thompson
Kevyn Collins-Thompson University of Michigan–Ann Arbor
Arthur C. Graesser
Arthur C. Graesser University of Memphis
Judit Kormos
Judit Kormos Lancaster University
Guillaume Thierry
Guillaume Thierry Bangor University
Caitlin Mills
Caitlin Mills University of Minnesota
Sidney K. D'Mello
Sidney K. D'Mello University of Colorado Boulder

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