Laura K. Allen

3.8k total citations
90 papers, 1.4k citations indexed

About

Laura K. Allen is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Education. According to data from OpenAlex, Laura K. Allen has authored 90 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Developmental and Educational Psychology, 41 papers in Artificial Intelligence and 30 papers in Education. Recurrent topics in Laura K. Allen's work include Writing and Handwriting Education (24 papers), Innovative Teaching and Learning Methods (19 papers) and Intelligent Tutoring Systems and Adaptive Learning (18 papers). Laura K. Allen is often cited by papers focused on Writing and Handwriting Education (24 papers), Innovative Teaching and Learning Methods (19 papers) and Intelligent Tutoring Systems and Adaptive Learning (18 papers). Laura K. Allen collaborates with scholars based in United States, Romania and United Kingdom. Laura K. Allen's co-authors include Danielle S. McNamara, Scott A. Crossley, Erica L. Snow, Rod D. Roscoe, Ann Bucklin, Matthew E. Jacovina, Janet M. Bradford‐Grieve, Nancy Copley, Bruce W. Frost and Aaron D. Likens and has published in prestigious journals such as Journal of Educational Psychology, Computers & Education and Frontiers in Psychology.

In The Last Decade

Laura K. Allen

82 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura K. Allen United States 20 545 480 428 239 173 90 1.4k
Erin E. Peters‐Burton United States 19 504 0.9× 29 0.1× 893 2.1× 145 0.6× 51 0.3× 76 1.3k
C. Patrick Proctor United States 27 1.6k 2.9× 131 0.3× 826 1.9× 227 0.9× 10 0.1× 63 2.4k
J. Reuben Shipway United Kingdom 13 44 0.1× 415 0.9× 84 0.2× 312 1.3× 147 0.8× 36 1.4k
John Merrill United States 17 270 0.5× 111 0.2× 548 1.3× 93 0.4× 25 0.1× 41 930
Linlin Li China 12 87 0.2× 187 0.4× 168 0.4× 146 0.6× 29 0.2× 40 658
J. Michael O’Malley United States 20 3.7k 6.7× 206 0.4× 2.1k 5.0× 83 0.3× 208 1.2× 62 6.9k
G. Michael Bowen Canada 22 576 1.1× 99 0.2× 956 2.2× 61 0.3× 15 0.1× 48 1.5k
Kim Hua Tan Malaysia 17 261 0.5× 88 0.2× 345 0.8× 52 0.2× 45 0.3× 106 958
Geoff Woolcott Australia 14 101 0.2× 47 0.1× 244 0.6× 54 0.2× 53 0.3× 71 591
Glenda Cox South Africa 17 77 0.1× 49 0.1× 199 0.5× 192 0.8× 95 0.5× 52 871

Countries citing papers authored by Laura K. Allen

Since Specialization
Citations

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

Fields of papers citing papers by Laura K. Allen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura K. Allen. 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 Laura K. Allen. The network helps show where Laura K. Allen may publish in the future.

Co-authorship network of co-authors of Laura K. Allen

This figure shows the co-authorship network connecting the top 25 collaborators of Laura K. Allen. A scholar is included among the top collaborators of Laura K. Allen 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 Laura K. Allen. Laura K. Allen 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.
2.
Braasch, Jason L. G., et al.. (2025). How do topic beliefs and reading skill influence college students' evaluations of search engine results for usefulness and trustworthiness?. Learning and Individual Differences. 122. 102751–102751.
3.
Goodman, Catherine, et al.. (2024). Approaches, enablers and barriers to govern the private sector in health in low- and middle-income countries: a scoping review. BMJ Global Health. 8(Suppl 5). e015771–e015771. 3 indexed citations
4.
Mills, Caitlin, et al.. (2024). Not all minds think alike: Examining the impact of time and task on visual and verbal thought.. Psychology of Consciousness Theory Research and Practice. 12(4). 463–478.
5.
Allen, Laura K., et al.. (2023). Perceived Group Identity Alters Task‐Unrelated Thought and Attentional Divergence During Conversations. Cognitive Science. 47(1). 1 indexed citations
6.
McCarthy, Kathryn S., et al.. (2022). On the basis of source: Impacts of individual differences on multiple-document integrated reading and writing tasks. Learning and Instruction. 79. 101599–101599. 17 indexed citations
7.
Wilkes, Martin, Marc Naura, Laura K. Allen, et al.. (2021). Defining Recovery Potential in River Restoration: A Biological Data-Driven Approach. Water. 13(23). 3339–3339. 1 indexed citations
8.
Allen, Laura K., Aaron D. Likens, & Danielle S. McNamara. (2017). Recurrence Quantification Analysis: A Technique for the Dynamical Analysis of Student Writing.. Grantee Submission. 240–245. 3 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., Matthew E. Jacovina, Mihai Dascălu, et al.. (2016). {ENTER}ing the Time Series {SPACE}: Uncovering the Writing Process through Keystroke Analyses.. Grantee Submission. 22–29. 4 indexed citations
11.
Allen, Laura K., Matthew E. Jacovina, & Danielle S. McNamara. (2016). Cohesive Features of Deep Text Comprehension Processes.. Cognitive Science. 12 indexed citations
12.
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
13.
Allen, Laura K., et al.. (2016). Comprehension and Writing Strategy Training Improves Performance on Content-Specific Source-Based Writing Tasks. International Journal of Artificial Intelligence in Education. 28(1). 106–137. 29 indexed citations
14.
Allen, Laura K.. (2015). Who Do You Think I Am? Modeling Individual Differences for More Adaptive and Effective Instruction.. Educational Data Mining. 659–661. 1 indexed citations
15.
Allen, Laura K., Erica L. Snow, & Danielle S. McNamara. (2015). Are You Reading My Mind? Modeling Students' Reading Comprehension Skills with Natural Language Processing Techniques.. Grantee Submission. 6 indexed citations
16.
Jacovina, Matthew E., Erica L. Snow, Laura K. Allen, et al.. (2015). How to Visualize Success: Presenting Complex Data in a Writing Strategy Tutor.. Educational Data Mining. 594–595. 4 indexed citations
17.
Snow, Erica L., Laura K. Allen, G. Tanner Jackson, & Danielle S. McNamara. (2015). Spendency: Students’ Propensity to Use System Currency. International Journal of Artificial Intelligence in Education. 25(3). 407–427. 19 indexed citations
18.
Snow, Erica L., Aaron D. Likens, Laura K. Allen, & Danielle S. McNamara. (2015). Taking Control: Stealth Assessment of Deterministic Behaviors Within a Game-Based System. International Journal of Artificial Intelligence in Education. 26(4). 1011–1032. 9 indexed citations
19.
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
20.
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

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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