Nathan D. Maxfield

686 total citations
29 papers, 460 citations indexed

About

Nathan D. Maxfield is a scholar working on Cognitive Neuroscience, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Nathan D. Maxfield has authored 29 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 14 papers in Clinical Psychology and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Nathan D. Maxfield's work include Neurobiology of Language and Bilingualism (16 papers), Stuttering Research and Treatment (14 papers) and Phonetics and Phonology Research (11 papers). Nathan D. Maxfield is often cited by papers focused on Neurobiology of Language and Bilingualism (16 papers), Stuttering Research and Treatment (14 papers) and Phonetics and Phonology Research (11 papers). Nathan D. Maxfield collaborates with scholars based in United States, Canada and United Kingdom. Nathan D. Maxfield's co-authors include Jennifer J. Lister, Stefan A. Frisch, David J. Drobes, David E. Evans, Jerri D. Edwards, Jennifer L. O’Brien, Victoria Williams, Jennifer A. Bugos, Arild Hestvik and Valerie L. Shafer and has published in prestigious journals such as The Journal of the Acoustical Society of America, Neuropsychopharmacology and Clinical Neurophysiology.

In The Last Decade

Nathan D. Maxfield

23 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan D. Maxfield United States 12 334 153 137 88 39 29 460
Gemma Reynolds United Kingdom 10 140 0.4× 95 0.6× 90 0.7× 37 0.4× 24 0.6× 26 335
Konstantina Zougkou United Kingdom 10 143 0.4× 191 1.2× 129 0.9× 23 0.3× 16 0.4× 13 551
Mart Eussen Netherlands 12 284 0.9× 114 0.7× 128 0.9× 34 0.4× 52 1.3× 17 385
Kai Makita Japan 12 209 0.6× 119 0.8× 60 0.4× 20 0.2× 9 0.2× 34 424
Terje B. Holmlund Norway 12 272 0.8× 179 1.2× 69 0.5× 34 0.4× 25 0.6× 22 454
Emily F. Hittner United States 11 564 1.7× 144 0.9× 50 0.4× 49 0.6× 94 2.4× 16 695
Alberto Acosta Spain 12 404 1.2× 368 2.4× 134 1.0× 39 0.4× 39 1.0× 25 704
Andrew C. Etchell Australia 12 413 1.2× 305 2.0× 400 2.9× 182 2.1× 15 0.4× 12 596
Rebecca Watson United Kingdom 8 241 0.7× 224 1.5× 91 0.7× 30 0.3× 15 0.4× 10 463

Countries citing papers authored by Nathan D. Maxfield

Since Specialization
Citations

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

Fields of papers citing papers by Nathan D. Maxfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan D. Maxfield. 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 Nathan D. Maxfield. The network helps show where Nathan D. Maxfield may publish in the future.

Co-authorship network of co-authors of Nathan D. Maxfield

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan D. Maxfield. A scholar is included among the top collaborators of Nathan D. Maxfield 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 Nathan D. Maxfield. Nathan D. Maxfield 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.
King, Charlotte, et al.. (2025). A Stage-1 trial of a hybrid speech-focused treatment for stuttering delivered in a non-residential semi-intensive format. Journal of Fluency Disorders. 85. 106148–106148.
2.
Maxfield, Nathan D., et al.. (2025). Interarticulator Timing Relations Underlie the Production of Precise and Consistent Vocal Tract Constrictions During Speech. Journal of Speech Language and Hearing Research. 68(6). 2700–2720.
3.
Maxfield, Nathan D.. (2021). Cognitive control of action naming in adults who stutter. Journal of Fluency Disorders. 70. 105841–105841. 1 indexed citations
4.
Maxfield, Nathan D.. (2020). Inhibitory Control of Lexical Selection in Adults who Stutter. Journal of Fluency Disorders. 66. 105780–105780. 9 indexed citations
5.
Lowder, Matthew W., Nathan D. Maxfield, & Fernanda Ferreira. (2019). Processing of self-repairs in stuttered and non-stuttered speech. Language Cognition and Neuroscience. 35(1). 93–105. 6 indexed citations
6.
Maxfield, Nathan D. & Fernanda Ferreira. (2018). Backward-looking sentence processing in typically disfluent versus stuttered speech: ERP evidence. Language Cognition and Neuroscience. 34(5). 561–579. 1 indexed citations
7.
Maxfield, Nathan D., et al.. (2016). Attention demands of language production in adults who stutter. Clinical Neurophysiology. 127(4). 1942–1960. 25 indexed citations
8.
Frisch, Stefan A., et al.. (2016). Anticipatory coarticulation and stability of speech in typically fluent speakers and people who stutter. Clinical Linguistics & Phonetics. 30(3-5). 277–291. 18 indexed citations
9.
Frisch, Stefan A., et al.. (2016). A preliminary investigation of velar-vowel coarticulation in Spanish-English Bilinguals. The Journal of the Acoustical Society of America. 140(4_Supplement). 3228–3228.
10.
Maxfield, Nathan D., et al.. (2014). Real-time processing in picture naming in adults who stutter: ERP evidence. Clinical Neurophysiology. 126(2). 284–296. 22 indexed citations
11.
Evans, David E., et al.. (2013). Nicotine Deprivation Influences P300 Markers of Cognitive Control. Neuropsychopharmacology. 38(12). 2525–2531. 30 indexed citations
12.
O’Brien, Jennifer L., et al.. (2013). Cognitive training and selective attention in the aging brain: An electrophysiological study. Clinical Neurophysiology. 124(11). 2198–2208. 69 indexed citations
13.
Lister, Jennifer J., et al.. (2011). Auditory evoked response to gaps in noise: Older adults. International Journal of Audiology. 50(4). 211–225. 56 indexed citations
14.
Maxfield, Nathan D., et al.. (2011). Exploring semantic and phonological picture–word priming in adults who stutter using event-related potentials. Clinical Neurophysiology. 123(6). 1131–1146. 24 indexed citations
15.
O’Brien, Jennifer L., et al.. (2011). Effects of cognitive training on speed processing and attention allocation in older adults.. Digital Commons - University of South Florida (University of South Florida). 1 indexed citations
16.
Maxfield, Nathan D., et al.. (2010). Neural correlates of semantic activation spreading on the path to picture naming in adults who stutter. Clinical Neurophysiology. 121(9). 1447–1463. 22 indexed citations
17.
Evans, David E., et al.. (2009). Neurocognitive variation in smoking behavior and withdrawal: genetic and affective moderators. Genes Brain & Behavior. 8(1). 86–96. 41 indexed citations
18.
Shafer, Valerie L. & Nathan D. Maxfield. (2008). Neuroscience Approaches to Child Language Disorders. 577–600.
19.
Lister, Jennifer J., et al.. (2007). Cortical Evoked Response to Gaps in Noise: Within-Channel and Across-Channel Conditions. Ear and Hearing. 28(6). 862–878. 38 indexed citations
20.
Hestvik, Arild, Nathan D. Maxfield, Richard G. Schwartz, & Valerie L. Shafer. (2006). Brain responses to filled gaps. Brain and Language. 100(3). 301–316. 28 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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