Stephen T. Neely

Also affiliated with Boys Town National Research Hospital

NeuroscienceHealth ProfessionsMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Maximum Expected Information Approach for Improving Efficiency of Categorical Loudness Scaling”.

Maximum Expected Information Approach for Improving Efficiency of Categorical Loudness Scaling

Frontiers in Psychology(2020)10.3389/fpsyg.2020.578352

N/A

0DataRank · unranked

9 citations

Stephen T. Neely, Judy G. Kopun, Daniel M. Rasetshwane, Sara E. Fultz

Metabolic and Sensory Components of Age-Related Hearing Loss: Associations With Distortion- and Reflection-Based Otoacoustic Emissions

Trends in Hearing(2023)10.1177/23312165231213776

N/A

0DataRank · unranked

5 citations

Stephen T. Neely, Sara Harris, Judy R. Dubno, Kenneth I. Vaden

Toward Automating Diagnosis of Middle- and Inner-ear Mechanical Pathologies With a Wideband Absorbance Regression Model

Ear and Hearing(2024)10.1097/aud.0000000000001516

N/A

0DataRank · unranked

3 citations

Gabrielle R. Merchant, Hideko Heidi Nakajima, Stephen T. Neely, Kristine Elisabeth Eberhard

Toward parametric Bayesian adaptive procedures for multi-frequency categorical loudness scaling

The Journal of the Acoustical Society of America(2024)10.1121/10.0026592

N/A

0DataRank · unranked

3 citations

Erik Alan Petersen, Stephen T. Neely, Yi Shen