Mallory Stites

460 total citations
18 papers, 261 citations indexed

About

Mallory Stites is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Mallory Stites has authored 18 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 9 papers in Developmental and Educational Psychology and 4 papers in Artificial Intelligence. Recurrent topics in Mallory Stites's work include Neurobiology of Language and Bilingualism (10 papers), Reading and Literacy Development (9 papers) and Neural and Behavioral Psychology Studies (4 papers). Mallory Stites is often cited by papers focused on Neurobiology of Language and Bilingualism (10 papers), Reading and Literacy Development (9 papers) and Neural and Behavioral Psychology Studies (4 papers). Mallory Stites collaborates with scholars based in United States. Mallory Stites's co-authors include Kara D. Federmeier, Brennan R. Payne, Sarah Laszlo, Kiel Christianson, Steven G. Luke, Laura E. Matzen, Elizabeth A. L. Stine‐Morrow, Charles Smutz, Corey K. Fallon and Nigel Bosch and has published in prestigious journals such as Journal of Experimental Psychology Human Perception & Performance, Journal of Experimental Psychology Learning Memory and Cognition and Psychophysiology.

In The Last Decade

Mallory Stites

17 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mallory Stites United States 10 212 172 59 22 19 18 261
Sabine A. Krawietz United States 7 224 1.1× 97 0.6× 102 1.7× 33 1.5× 20 1.1× 8 306
Po-Han Lin United States 7 210 1.0× 100 0.6× 61 1.0× 26 1.2× 24 1.3× 12 289
Laura Quante Germany 4 201 0.9× 131 0.8× 66 1.1× 35 1.6× 32 1.7× 8 240
Annie Jalbert Canada 9 282 1.3× 113 0.7× 129 2.2× 33 1.5× 38 2.0× 11 327
Tamra J. Bireta United States 10 301 1.4× 180 1.0× 125 2.1× 28 1.3× 57 3.0× 22 362
Dominic Guitard Canada 12 313 1.5× 124 0.7× 109 1.8× 28 1.3× 94 4.9× 59 386
Jonathan Mirault France 11 251 1.2× 264 1.5× 88 1.5× 12 0.5× 73 3.8× 42 349
Alicia Forsberg United States 9 154 0.7× 48 0.3× 102 1.7× 24 1.1× 12 0.6× 18 243
Katherine M. Mathis United States 6 143 0.7× 130 0.8× 64 1.1× 14 0.6× 24 1.3× 7 203
Rebecca A. Gilbert United Kingdom 8 145 0.7× 65 0.4× 72 1.2× 22 1.0× 48 2.5× 16 233

Countries citing papers authored by Mallory Stites

Since Specialization
Citations

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

Fields of papers citing papers by Mallory Stites

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mallory Stites

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

All Works

18 of 18 papers shown
1.
Bosch, Nigel, et al.. (2025). Eye-movement indices of reading while debugging Python source code. Journal of Cognitive Psychology. 37(2). 89–107.
2.
Matzen, Laura E., et al.. (2024). Effects of machine learning errors on human decision-making: manipulations of model accuracy, error types, and error importance. Cognitive Research Principles and Implications. 9(1). 56–56. 2 indexed citations
3.
Stites, Mallory, et al.. (2023). Assessing the Impact of Automated Document Classification Decisions on Human Decision-Making. AHFE international. 83. 1 indexed citations
4.
Matzen, Laura E., et al.. (2022). The Cognitive Effects of Machine Learning Aid in Domain-Specific and Domain-General Tasks. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations
5.
Matzen, Laura E., et al.. (2021). Studying visual search without an eye tracker: an assessment of artificial foveation. Cognitive Research Principles and Implications. 6(1). 45–45. 8 indexed citations
6.
Fallon, Corey K., et al.. (2021). A Methodology for Assessing Risk to Inform Technology Integration. 1–7. 1 indexed citations
7.
Stites, Mallory, et al.. (2021). Sage Advice? The Impacts of Explanations for Machine Learning Models on Human Decision-Making in Spam Detection.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
8.
Stites, Mallory, et al.. (2020). Where are we going and where have we been? Examining the effects of maps on spatial learning in an indoor guided navigation task. Cognitive Research Principles and Implications. 5(1). 13–13. 10 indexed citations
9.
Payne, Brennan R., Mallory Stites, & Kara D. Federmeier. (2019). Event‐related brain potentials reveal how multiple aspects of semantic processing unfold across parafoveal and foveal vision during sentence reading. Psychophysiology. 56(10). e13432–e13432. 30 indexed citations
10.
Stites, Mallory, Brennan R. Payne, & Kara D. Federmeier. (2017). Getting ahead of yourself: Parafoveal word expectancy modulates the N400 during sentence reading. Cognitive Affective & Behavioral Neuroscience. 17(3). 475–490. 41 indexed citations
11.
Stites, Mallory & Sarah Laszlo. (2017). Time will tell: A longitudinal investigation of brain‐behavior relationships during reading development. Psychophysiology. 54(6). 798–808. 9 indexed citations
12.
Payne, Brennan R., Mallory Stites, & Kara D. Federmeier. (2016). Out of the corner of my eye: Foveal semantic load modulates parafoveal processing in reading.. Journal of Experimental Psychology Human Perception & Performance. 42(11). 1839–1857. 24 indexed citations
13.
Stites, Mallory, Kara D. Federmeier, & Kiel Christianson. (2016). Do morphemes matter when reading compound words with transposed letters? Evidence from eye-tracking and event-related potentials. Language Cognition and Neuroscience. 31(10). 1299–1319. 25 indexed citations
14.
Stites, Mallory & Kara D. Federmeier. (2015). Subsequent to suppression: Downstream comprehension consequences of noun/verb ambiguity in natural reading.. Journal of Experimental Psychology Learning Memory and Cognition. 41(5). 1497–1515. 9 indexed citations
15.
16.
Stites, Mallory, Kara D. Federmeier, & Elizabeth A. L. Stine‐Morrow. (2013). Cross-age comparisons reveal multiple strategies for lexical ambiguity resolution during natural reading.. Journal of Experimental Psychology Learning Memory and Cognition. 39(6). 1823–1841. 18 indexed citations
17.
Stites, Mallory, Steven G. Luke, & Kiel Christianson. (2012). The psychologist said quickly, “Dialogue descriptions modulate reading speed!”. Memory & Cognition. 41(1). 137–151. 23 indexed citations
18.
Laszlo, Sarah, Mallory Stites, & Kara D. Federmeier. (2011). Won't get fooled again: An event-related potential study of task and repetition effects on the semantic processing of items without semantics. Language and Cognitive Processes. 27(2). 257–274. 38 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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