Earl E. Johnson

506 citations

35 papers · 406 indexed · h-index 11

Impact in

Sensory Systems top 2%
- Hearing, Cochlea, Tinnitus, Genetics
Speech and Hearing top 1%
- Noise Effects and Management

Papers in ⓘ

Cognitive Neuroscience 21
- Hearing Loss and Rehabilitation 21
Speech and Hearing 18
- Noise Effects and Management 18

Co-authors: Todd A. Ricketts (8 shared papers)Benjamin W. Y. Hornsby (5 shared papers)Harvey Dillon (3 shared papers)Erin M. Picou (1 shared paper)Teresa Y. C. Ching (4 shared papers)Mark Seeto (1 shared paper)J. H. Macrae (1 shared paper)Christopher Flynn (2 shared papers)
Journals: Journal of the American Academy of Audiology (9 papers)International Journal of Audiology (7 papers)Ear and Hearing (1 paper)Journal of Speech Language and Hearing Research (1 paper)Seminars in Hearing (1 paper)
Partner nations: United States Australia Russia

In The Last Decade

Earl E. Johnson

33 papers receiving 377 citations

Peers

Countries citing papers authored by Earl E. Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Earl E. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Earl E. Johnson, 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 Earl E. Johnson Line = papers co-authored together Earl E. Johnson links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	High-Frequency Amplification and Sound Quality in Listeners With Normal Through Moderate Hearing Loss Journal of Speech Language and Hearing Research ·Todd A. Ricketts, Andrew Dittberner, Earl E. Johnson	2008	74
2	Effects of Degree and Configuration of Hearing Loss on the Contribution of High- and Low-Frequency Speech Information to Bilateral Speech Understanding Ear and Hearing ·Benjamin W. Y. Hornsby, Earl E. Johnson, Erin M. Picou	2011	55
3	A Comparison of Gain for Adults from Generic Hearing Aid Prescriptive Methods: Impacts on Predicted Loudness, Frequency Bandwidth, and Speech Intelligibility Journal of the American Academy of Audiology ·Earl E. Johnson, Harvey Dillon	2011	50
4	The Effects of Speech and Speechlike Maskers on Unaided and Aided Speech Recognition in Persons with Hearing Loss Journal of the American Academy of Audiology ·Benjamin W. Y. Hornsby, Todd A. Ricketts, Earl E. Johnson	2006	26
5	A comparison of NAL and DSL prescriptive methods for paediatric hearing-aid fitting: Predicted speech intelligibility and loudness International Journal of Audiology ·Teresa Y. C. Ching, Earl E. Johnson, Sanna Hou, Harvey Dillon, Vicky Zhang, Lauren Burns, Patricia Van Buynder, Angela Wong, Christopher Flynn	2013	20
6	Hearing-aid safety: A comparison of estimated threshold shifts for gains recommended by NAL-NL2 and DSL m[i/o] prescriptions for children International Journal of Audiology ·Teresa Y. C. Ching, Earl E. Johnson, Mark Seeto, J. H. Macrae	2013	18
7	Comparing NAL-NL1 and DSL v5 in Hearing Aids Fit to Children with Severe or Profound Hearing Loss: Goodness of Fit-to-Targets, Impacts on Predicted Loudness and Speech Intelligibility Journal of the American Academy of Audiology ·Teresa Y. C. Ching, Tian Kar Quar, Earl E. Johnson, Philip Newall, Mridula Sharma	2015	17
8	Modern Prescription Theory and Application: Realistic Expectations for Speech Recognition With Hearing Aids PubMed ·Earl E. Johnson	2013	14
9	Hearing aid fitting and developmental outcomes of children fit according to either the NAL or DSL prescription: fit-to-target, audibility, speech and language abilities International Journal of Audiology ·Teresa Y. C. Ching, Vicky W. Zhang, Earl E. Johnson, Patricia Van Buynder, Sanna Hou, Lauren Burns, Laura Button, Christopher Flynn, Karen McGhie	2017	13
10	Essentials of modern hearing aids: selection, fitting, and verification International Journal of Audiology ·Earl E. Johnson	2019	12
11	The effect of extending high-frequency bandwidth on the Acceptable Noise Level (ANL) of hearing-impaired listeners International Journal of Audiology ·Earl E. Johnson, Todd A. Ricketts, Benjamin W. Y. Hornsby	2009	11
12	Segmenting dispensers The Hearing Journal ·Earl E. Johnson	2006	10
13	The Effect of Digital Phase Cancellation Feedback Reduction Systems on Amplified Sound Quality Journal of the American Academy of Audiology ·Earl E. Johnson, Todd A. Ricketts, Benjamin W. Y. Hornsby	2007	9
14	Adaptive Directional Benefit in the Near Field: Competing Sound Angle and Level Effects Seminars in Hearing ·Todd A. Ricketts, Benjamin W. Y. Hornsby, Earl E. Johnson	2005	9
15	Statistically Derived Factors of Varied Importance to Audiologists When Making a Hearing Aid Brand Preference Decision Journal of the American Academy of Audiology ·Earl E. Johnson, H. Gustav Mueller, Todd A. Ricketts	2009	8
16	Prescriptive Amplification Recommendations for Hearing Losses with a Conductive Component and Their Impact on the Required Maximum Power Output: An Update with Accompanying Clinical Explanation Journal of the American Academy of Audiology ·Earl E. Johnson	2013	8
17	A Patient-Centered, Provider-Facilitated Approach to the Refinement of Nonlinear Frequency Compression Parameters Based on Subjective Preference Ratings of Amplified Sound Quality Journal of the American Academy of Audiology ·Earl E. Johnson, Keri C. Light	2015	6
18	Safety limit warning levels for the avoidance of excessive sound amplification to protect against further hearing loss International Journal of Audiology ·Earl E. Johnson	2017	5
19	Toward accessible human-computer interaction Ablex Publishing Corp. eBooks ·Eric Bergman, Earl E. Johnson	1995	5
20	Survey explores how dispensers use and choose their preferred hearing aid brands The Hearing Journal ·Earl E. Johnson	2007	5

About Earl E. Johnson

Earl E. Johnson is a scholar working on Cognitive Neuroscience, Speech and Hearing, Sensory Systems, Signal Processing and Developmental and Educational Psychology, having authored 35 papers that have together received 406 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (21 papers), Noise Effects and Management (18 papers), Hearing, Cochlea, Tinnitus, Genetics (9 papers), Speech and Audio Processing (6 papers), Hearing Impairment and Communication (3 papers), Customer Service Quality and Loyalty (2 papers), Consumer Retail Behavior Studies (2 papers) and Acoustic Wave Phenomena Research (1 paper). The work is most often cited by research in Sensory Systems (190 citations), Speech and Hearing (264 citations), Cognitive Neuroscience (373 citations), Signal Processing (119 citations) and Otorhinolaryngology (23 citations). Earl E. Johnson has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Todd A. Ricketts, Benjamin W. Y. Hornsby, Harvey Dillon, Erin M. Picou, Teresa Y. C. Ching, Mark Seeto, J. H. Macrae, Christopher Flynn, Sanna Hou and Lauren Burns. Their work appears in journals such as Journal of the American Academy of Audiology, International Journal of Audiology, Ear and Hearing, Journal of Speech Language and Hearing Research and Seminars in Hearing.

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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