Dawna E. Lewis

68 papers receiving 2.3k citations

Peers

Dawna E. Lewis
Comparison fields: 5 of 71
  • Sensory Systems 534
  • Cognitive Neuroscience 1.7k
  • Speech and Hearing 549
  • Developmental and Educational Psychology 509
  • Signal Processing 359
Replace Brenda M. Hoover with:
Brenda M. Hoover United States
Patricia G. Stelmachowicz United States
Ruth A. Bentler United States
Mary Joe Osberger United States
Andrea L. Pittman United States
Karen Iler Kirk United States
Mark E. Lutman United Kingdom
Anne Marie Tharpe United States
Ryan W. McCreery United States
Marilyn E. Demorest United States
Dawna E. Lewis relative to Brenda M. Hoover United States Brenda M. Hoover's profile →
Citations per field
00.5×1.7×
Brenda M. Hoover · 1×
Citations per year

Countries citing papers authored by Dawna E. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Dawna E. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dawna E. Lewis. 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 Dawna E. Lewis. The network helps show where Dawna E. Lewis may publish in the future.

Co-authors

The 25 scholars most cited alongside Dawna E. Lewis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dawna E. Lewis Line = papers co-authored together Dawna E. Lewis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004215
2 2001182
3 2007161
4 2000121
5 2012108
6 2007104
7 200794
8 200291
9 200986
10 201976
11 200573
12 200471
13 201664
14 201461
15 201258
16 200857
17 198752
18 201047
19 201942
20 199642

About Dawna E. Lewis

Dawna E. Lewis is a scholar working on Cognitive Neuroscience, Speech and Hearing, Signal Processing, Developmental and Educational Psychology and Sensory Systems, having authored 71 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (52 papers), Noise Effects and Management (15 papers), Speech and Audio Processing (15 papers), Hearing Impairment and Communication (10 papers), Hearing, Cochlea, Tinnitus, Genetics (8 papers), Structural Health Monitoring Techniques (4 papers), Phonetics and Phonology Research (4 papers) and Tactile and Sensory Interactions (4 papers). The work is most often cited by research in Sensory Systems (534 citations), Cognitive Neuroscience (1.7k citations), Speech and Hearing (549 citations), Developmental and Educational Psychology (509 citations) and Signal Processing (359 citations). Dawna E. Lewis has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Patricia G. Stelmachowicz, Brenda M. Hoover, Andrea L. Pittman, Mary Pat Moeller, Ryan W. McCreery, Daniel Valente, Sangsook Choi, Marc Brennan, Elizabeth Heinrichs‐Graham and Judy G. Kopun. Their work appears in journals such as Ear and Hearing, Journal of Speech Language and Hearing Research, The Journal of the Acoustical Society of America, Journal of the American Academy of Audiology and American Journal of Audiology.

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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