World's Best Scientists 2026 revealed!
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Social Sciences and Humanities
USA
2026

D-Index & Metrics

Computer Science

D-Index
82
Citations
29868
World Ranking
955
National Ranking
518

Social Sciences and Humanities

D-Index
94
Citations
38736
World Ranking
139
National Ranking
66

Research.com Recognitions

  • 2026 - Research.com Social Sciences and Humanities in United States Leader Award
  • 2025 - Research.com Social Sciences and Humanities in United States Leader Award
  • 2018 - Fellow of the American Educational Research Association

Overview

Danielle S. McNamara is affiliated with Arizona State University in the United States. Their research primarily intersects the fields of Computer Science and Psychology, with extensive work in Artificial Intelligence and Developmental and Educational Psychology. Their scholarly contributions span topics including Topic Modeling, Text Readability and Simplification, Reading and Literacy Development, Educational Strategies and Epistemologies, Innovative Teaching and Learning Methods, Intelligent Tutoring Systems and Adaptive Learning, and Natural Language Processing Techniques.

McNamara has authored numerous publications in several venues, frequently contributing to the following journals and series:

  • International Journal of Artificial Intelligence in Education
  • Discourse Processes
  • Computers
  • Technology Mind and Behavior
  • Zenodo (CERN European Organization for Nuclear Research)

Among recent papers associated with or related to McNamara's research interests and collaborations are:

  • The Multidimensional Knowledge in Text Comprehension framework (2021) published in Educational Psychologist
  • Before and during COVID-19: A Cohesion Network Analysis of students' online participation in Moodle courses (2021) published in Computers in Human Behavior
  • Personalized learning in iSTART: Past modifications and future design (2020) published in Journal of Research on Technology in Education
  • Applying Natural Language Processing and Hierarchical Machine Learning Approaches to Text Difficulty Classification (2020) published in International Journal of Artificial Intelligence in Education
  • Precision communication: Physicians' linguistic adaptation to patients' health literacy (2021) published in Science Advances

Their frequent collaborators include Mihai Dascălu, Kathryn S. McCarthy, Scott A. Crossley, Laura K. Allen, and Renu Balyan.

McNamara has also contributed to book publications with Springer Science+Business Media, including two editions of "Artificial Intelligence in Education" published in 2021.

In recognition of their work, McNamara was named a Fellow of the American Educational Research Association in 2018.

Best Publications

  • Are Good Texts Always Better? Interactions of Text Coherence, Background Knowledge, and Levels of Understanding in Learning From Text

    Danielle S. McNamara;Danielle S. McNamara;Eileen Kintsch;Nancy Butler Songer;Walter Kintsch

  • Coh-Metrix: Analysis of text on cohesion and language

    Arthur C. Graesser;Danielle S. McNamara;Max M. Louwerse;Zhiqiang Cai

  • Handbook of latent semantic analysis

    Thomas K. Landauer;Danielle S. McNamara;Simon Dennis;Walter Kintsch

  • Learning from texts: Effects of prior knowledge and text coherence

    Danielle S. McNamara;Walter Kintsch

  • Automated Evaluation of Text and Discourse with Coh-Metrix

    Danielle S. McNamara;Arthur C. Graesser;Philip M. McCarthy;Zhiqiang Cai

  • Chapter 9 Toward a Comprehensive Model of Comprehension

    Danielle S. McNamara;Joe Magliano

  • SERT: Self-Explanation Reading Training

    Danielle S. McNamara

  • Coh-Metrix: Providing Multilevel Analyses of Text Characteristics

    Arthur C. Graesser;Danielle S. McNamara;Jonna M. Kulikowich

  • Linguistic Features of Writing Quality

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

  • Prior knowledge, reading skill, and text cohesion in the comprehension of science texts

    Yasuhiro Ozuru;Kyle Dempsey;Danielle S. McNamara

  • Differential Competencies Contributing to Children's Comprehension of Narrative and Expository Texts

    Rachel M. Best;Randy G. Floyd;Danielle S. Mcnamara

  • Reading both high-coherence and low-coherence texts: effects of text sequence and prior knowledge.

    Danielle S. McNamara

  • What do readers need to learn in order to process coherence relations in narrative and expository text

    Arthur C Graesser;Danielle S McNamara;Max M Louwerse

  • iSTART: interactive strategy training for active reading and thinking.

    Danielle S. McNamara;Irwin B. Levinstein;Chutima Boonthum

  • The Impact of Science Knowledge, Reading Skill, and Reading Strategy Knowledge on More Traditional “High-Stakes” Measures of High School Students’ Science Achievement

    Tenaha O’Reilly;Danielle S. McNamara

  • A Linguistic Analysis of Simplified and Authentic Texts

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

  • Working memory capacity and strategy use

    Danielle S. McNamara;Jennifer L. Scott

  • Scaffolding Deep Comprehension Strategies Through Point&Query, AutoTutor, and iSTART

    Arthur C. Graesser;Danielle S. McNamara;Kurt VanLehn

  • Coh-Metrix: Capturing Linguistic Features of Cohesion

    Danielle S. McNamara;Max M. Louwerse;Philip M. McCarthy;Arthur C. Graesser

  • Reading comprehension strategies : theories, interventions, and technologies

    Danielle S. McNamara

Frequent Co-Authors

Scott A. Crossley
Scott A. Crossley Vanderbilt University
Arthur C. Graesser
Arthur C. Graesser University of Memphis
Zhiqiang Cai
Zhiqiang Cai Purdue University West Lafayette
Joseph P. Magliano
Joseph P. Magliano Georgia State University
Tiffany Barnes
Tiffany Barnes North Carolina State University
Ryan S. Baker
Ryan S. Baker University of Pennsylvania
Walter Kintsch
Walter Kintsch University of Colorado Boulder
Christian D. Schunn
Christian D. Schunn University of Pittsburgh
Alice F. Healy
Alice F. Healy University of Colorado Boulder
Randy G. Floyd
Randy G. Floyd University of Memphis

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