Naomi Nevler

741 total citations
31 papers, 423 citations indexed

About

Naomi Nevler is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Developmental and Educational Psychology. According to data from OpenAlex, Naomi Nevler has authored 31 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 12 papers in Psychiatry and Mental health and 11 papers in Developmental and Educational Psychology. Recurrent topics in Naomi Nevler's work include Neurobiology of Language and Bilingualism (17 papers), Language Development and Disorders (11 papers) and Dementia and Cognitive Impairment Research (8 papers). Naomi Nevler is often cited by papers focused on Neurobiology of Language and Bilingualism (17 papers), Language Development and Disorders (11 papers) and Dementia and Cognitive Impairment Research (8 papers). Naomi Nevler collaborates with scholars based in United States, Israel and United Kingdom. Naomi Nevler's co-authors include Murray Grossman, David J. Irwin, Sharon Ash, Mark Liberman, Sunghye Cho, Elissa L. Ash, Sanjana Shellikeri, Corey T. McMillan, Katya Rascovsky and Katheryn A Q Cousins and has published in prestigious journals such as Neurology, Frontiers in Psychology and Journal of Speech Language and Hearing Research.

In The Last Decade

Naomi Nevler

27 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naomi Nevler United States 12 211 152 143 121 77 31 423
Katheryn A Q Cousins United States 17 276 1.3× 187 1.2× 238 1.7× 264 2.2× 62 0.8× 57 674
Ariane E. Welch United States 11 279 1.3× 68 0.4× 111 0.8× 97 0.8× 84 1.1× 18 376
Cristina Polito Italy 12 210 1.0× 174 1.1× 154 1.1× 113 0.9× 32 0.4× 46 552
Jennifer Whitwell United States 6 292 1.4× 117 0.8× 135 0.9× 114 0.9× 109 1.4× 20 409
Omar Buriticá Colombia 8 218 1.0× 163 1.1× 42 0.3× 53 0.4× 45 0.6× 13 394
Brigitte Debachy France 5 315 1.5× 92 0.6× 94 0.7× 73 0.6× 74 1.0× 5 436
Delani Gunawardena United States 8 377 1.8× 77 0.5× 166 1.2× 91 0.8× 162 2.1× 9 478
Chiara Piccininni Italy 12 202 1.0× 208 1.4× 138 1.0× 79 0.7× 33 0.4× 23 480
Bettina Brendel Germany 12 237 1.1× 58 0.4× 24 0.2× 145 1.2× 118 1.5× 31 483
Diana Gómez Colombia 7 182 0.9× 79 0.5× 42 0.3× 34 0.3× 40 0.5× 8 293

Countries citing papers authored by Naomi Nevler

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Nevler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Nevler

This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Nevler. A scholar is included among the top collaborators of Naomi Nevler 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 Naomi Nevler. Naomi Nevler 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.
Cho, Sunghye, Sharon Ash, Katheryn A Q Cousins, et al.. (2025). Automatic quantification of syntactic complexity in natural spontaneous speech of people with primary progressive aphasia. Aphasiology. 40(3). 561–582.
2.
Cho, Sunghye, Christopher A. Olm, Sharon Ash, et al.. (2024). Automatic classification of AD pathology in FTD phenotypes using natural speech. Alzheimer s & Dementia. 20(5). 3416–3428. 3 indexed citations
3.
Shellikeri, Sanjana, Sunghye Cho, Sharon Ash, et al.. (2023). Digital markers of motor speech impairments in spontaneous speech of patients with ALS-FTD spectrum disorders. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 25(3-4). 317–325. 1 indexed citations
4.
Nevler, Naomi, Sanjana Shellikeri, Katheryn A Q Cousins, et al.. (2023). Comparison of category and letter fluency tasks through automated analysis. Frontiers in Psychology. 14. 1212793–1212793. 4 indexed citations
5.
Ash, Sharon, Naomi Nevler, David J. Irwin, et al.. (2023). Apraxia of Speech in the Spontaneous Speech of Nonfluent/Agrammatic Primary Progressive Aphasia. Journal of Alzheimer s Disease Reports. 7(1). 589–604.
6.
Shellikeri, Sanjana, Sunghye Cho, Katheryn A Q Cousins, et al.. (2022). Natural speech markers of Alzheimer's disease co-pathology in Lewy body dementias. Parkinsonism & Related Disorders. 102. 94–100. 7 indexed citations
7.
Cho, Sunghye, Katheryn A Q Cousins, Sanjana Shellikeri, et al.. (2022). Lexical and Acoustic Speech Features Relating to Alzheimer Disease Pathology. Neurology. 99(4). e313–e322. 27 indexed citations
8.
Cho, Sunghye, Sanjana Shellikeri, Katheryn A Q Cousins, et al.. (2022). Prosodic characteristics of prepausal words produced by patients with neurodegenerative disease. PubMed. 2022. 120–124. 1 indexed citations
9.
Cho, Sunghye, Naomi Nevler, Sharon Ash, et al.. (2021). Automated analysis of lexical features in frontotemporal degeneration. Cortex. 137. 215–231. 26 indexed citations
10.
Cho, Sunghye, Sharon Ash, Katheryn A Q Cousins, et al.. (2021). Digital Speech Analysis in Progressive Supranuclear Palsy and Corticobasal Syndromes. Journal of Alzheimer s Disease. 82(1). 33–45. 17 indexed citations
11.
Cho, Sunghye, Naomi Nevler, Christopher Cieri, et al.. (2021). Automated Analysis of Digitized Letter Fluency Data. Frontiers in Psychology. 12. 654214–654214. 4 indexed citations
12.
13.
Cousins, Katheryn A Q, Katya Rascovsky, Naomi Nevler, et al.. (2020). Confrontation Naming Deficit in Lewy Body Dementia Patients with Alzheimer’s Disease Co-Pathology (4234). Neurology. 94(15_supplement). 1 indexed citations
14.
Nevler, Naomi, Sharon Ash, Sunghye Cho, et al.. (2020). Automated semantic speech analysis in AD and lvPPA. Alzheimer s & Dementia. 16(S4). 1 indexed citations
15.
Nevler, Naomi, Sharon Ash, Corey T. McMillan, et al.. (2020). Automated analysis of natural speech in amyotrophic lateral sclerosis spectrum disorders. Neurology. 95(12). 22 indexed citations
16.
Nevler, Naomi, Sharon Ash, David J. Irwin, Mark Liberman, & Murray Grossman. (2019). P2‐254: AUTOMATED PROSODIC MARKERS IN NATURAL CONNECTED SPEECH OF ALS AND ALS‐FTD ARE ASSOCIATED WITH COGNITIVE IMPAIRMENT. Alzheimer s & Dementia. 15(7S_Part_13). 1 indexed citations
17.
Ash, Sharon, Naomi Nevler, Jeffrey S. Phillips, et al.. (2019). A longitudinal study of speech production in primary progressive aphasia and behavioral variant frontotemporal dementia. Brain and Language. 194. 46–57. 32 indexed citations
18.
Irwin, David J., Sharon X. Xie, David G. Coughlin, et al.. (2018). CSF tau and β-amyloid predict cerebral synucleinopathy in autopsied Lewy body disorders. Neurology. 90(12). 67 indexed citations
19.
Nevler, Naomi, et al.. (2017). Automatic measurement of prosody in behavioral variant FTD. Neurology. 89(7). 650–656. 42 indexed citations
20.
Nevler, Naomi & Elissa L. Ash. (2015). TMS as a Tool for Examining Cognitive Processing. Current Neurology and Neuroscience Reports. 15(8). 52–52. 15 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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