W.S. Brown

3.5k total citations
86 papers, 2.2k citations indexed

About

W.S. Brown is a scholar working on Experimental and Cognitive Psychology, Physiology and Artificial Intelligence. According to data from OpenAlex, W.S. Brown has authored 86 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Experimental and Cognitive Psychology, 29 papers in Physiology and 21 papers in Artificial Intelligence. Recurrent topics in W.S. Brown's work include Phonetics and Phonology Research (38 papers), Voice and Speech Disorders (27 papers) and Speech Recognition and Synthesis (20 papers). W.S. Brown is often cited by papers focused on Phonetics and Phonology Research (38 papers), Voice and Speech Disorders (27 papers) and Speech Recognition and Synthesis (20 papers). W.S. Brown collaborates with scholars based in United States, Portugal and Vietnam. W.S. Brown's co-authors include Richard J. Morris, Scott A. Wissinger, Howard B. Rothman, Christine M. Sapienza, Elizabeth Howell, Harry Hollien, Wenming Dong, Howard H. Whiteman, Kenneth H. Williams and Thomas Murry and has published in prestigious journals such as PLoS ONE, Ecology and Scientific Reports.

In The Last Decade

W.S. Brown

85 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W.S. Brown United States 28 803 711 428 391 327 86 2.2k
Christopher R. Watts United States 28 950 1.2× 561 0.8× 65 0.2× 214 0.5× 256 0.8× 90 1.9k
Ian C. Simpson Spain 22 48 0.1× 161 0.2× 256 0.6× 89 0.2× 210 0.6× 53 1.6k
Nicholas E. Myers United Kingdom 28 161 0.2× 222 0.3× 122 0.3× 47 0.1× 431 1.3× 57 2.5k
Thomas J. Moore United States 21 31 0.0× 189 0.3× 459 1.1× 114 0.3× 210 0.6× 49 1.2k
Christine Weber United States 26 46 0.1× 394 0.6× 565 1.3× 18 0.0× 130 0.4× 82 2.1k
Andrzej Rakowski Poland 17 82 0.1× 65 0.1× 463 1.1× 46 0.1× 379 1.2× 74 1.9k
David Maxwell United Kingdom 32 155 0.2× 25 0.0× 924 2.2× 35 0.1× 1.1k 3.2× 84 2.7k
Dorian S. Houser United States 38 224 0.3× 19 0.0× 3.6k 8.3× 11 0.0× 386 1.2× 191 4.2k
Lee M. Miller United States 32 10 0.0× 900 1.3× 90 0.2× 153 0.4× 178 0.5× 85 3.6k
W. W. Nelson United States 29 242 0.3× 76 0.1× 215 0.5× 14 0.0× 106 0.3× 70 2.5k

Countries citing papers authored by W.S. Brown

Since Specialization
Citations

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

Fields of papers citing papers by W.S. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.S. Brown. 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 W.S. Brown. The network helps show where W.S. Brown may publish in the future.

Co-authorship network of co-authors of W.S. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of W.S. Brown. A scholar is included among the top collaborators of W.S. Brown 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 W.S. Brown. W.S. Brown 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.
Sprenger, Matthias, Stefan Seeger, Max Berkelhammer, et al.. (2025). Opportunistic Short‐Term Water Uptake Dynamics by Subalpine Trees Observed via In Situ Water Isotope Measurements. Water Resources Research. 61(8).
2.
Sprenger, Matthias, Rosemary Carroll, David W. Marchetti, et al.. (2024). Stream water sourcing from high-elevation snowpack inferred from stable isotopes of water: a novel application of d-excess values. Hydrology and earth system sciences. 28(7). 1711–1723. 8 indexed citations
3.
Bouskill, Nicholas, Michelle Newcomer, Rosemary Carroll, et al.. (2024). A Tale of Two Catchments: Causality Analysis and Isotope Systematics Reveal Mountainous Watershed Traits That Regulate the Retention and Release of Nitrogen. Journal of Geophysical Research Biogeosciences. 129(3). 1 indexed citations
4.
Christensen, John N., W. Payton Gardner, Matthias Sprenger, et al.. (2024). Shifting groundwater fluxes in bedrock fractures: Evidence from stream water radon and water isotopes. Journal of Hydrology. 635. 131202–131202. 10 indexed citations
5.
Sprenger, Matthias, Rosemary Carroll, P. James Dennedy‐Frank, et al.. (2022). Variability of Snow and Rainfall Partitioning Into Evapotranspiration and Summer Runoff Across Nine Mountainous Catchments. Geophysical Research Letters. 49(13). 27 indexed citations
6.
Zhi, Wei, Li Li, Wenming Dong, et al.. (2019). Distinct Source Water Chemistry Shapes Contrasting Concentration‐Discharge Patterns. Water Resources Research. 55(5). 4233–4251. 127 indexed citations
7.
Mendes, Ana, W.S. Brown, Christine M. Sapienza, & Howard B. Rothman. (2006). Effects of Vocal Training on Respiratory Kinematics during Singing Tasks. Folia Phoniatrica et Logopaedica. 58(5). 363–377. 15 indexed citations
8.
Wissinger, Scott A., et al.. (2003). Larval cannibalism, time constraints, and adult fitness in caddisflies that inhabit temporary wetlands. Oecologia. 138(1). 39–47. 68 indexed citations
9.
Mendes, Ana, Howard B. Rothman, Christine M. Sapienza, & W.S. Brown. (2003). Effects of vocal training on the acoustic parameters of the singing voice. Journal of Voice. 17(4). 529–543. 84 indexed citations
10.
Rothman, Howard B., W.S. Brown, Christine M. Sapienza, & Richard J. Morris. (2001). Acoustic Analyses of Trained Singers Perceptually Identified from Speaking Samples. Journal of Voice. 15(1). 25–35. 31 indexed citations
11.
O'Hara, J., et al.. (2000). The Effects of Alarm Display, Processing, and Availability on Crew Performance. PLoS ONE. 12(11). e0188434–e0188434. 6 indexed citations
12.
Brown, W.S., Richard J. Morris, & Thomas Murry. (1996). Comfortable effort level revisited. Journal of Voice. 10(3). 299–305. 32 indexed citations
13.
Morris, Richard J., et al.. (1996). Intraoral air pressure of alaryngeal speakers during a no-air insufflation maneuver. Journal of Communication Disorders. 29(2). 141–155. 3 indexed citations
14.
Morris, Richard J., W.S. Brown, Douglas M. Hicks, & Elizabeth Howell. (1995). Phonational profiles of male trained singers and nonsingers. Journal of Voice. 9(2). 142–148. 41 indexed citations
15.
Brown, W.S., et al.. (1993). Comparative methods for measurement of VOT. Journal of Phonetics. 21(3). 329–336. 9 indexed citations
16.
Brown, W.S., et al.. (1990). An Acoustic Study of the Intelligible Utterances of Hearing-Impaired Speakers. Folia Phoniatrica et Logopaedica. 42(5). 230–238. 9 indexed citations
17.
Brown, W.S., et al.. (1985). Peak magnitudes of oral air flow during Hindi stops (plosives and affricates). Journal of Phonetics. 13(2). 219–234. 6 indexed citations
18.
Brown, W.S., et al.. (1983). Conspecific scent trailing by new born timber rattlesnake crotalus horridus. Herpetologica. 39(4). 430–436. 32 indexed citations
19.
Flege, James Emil & W.S. Brown. (1982). The voicing contrast between English /p/ and /b/ as a function of stress and position-in-utterance. Journal of Phonetics. 10(4). 335–345. 35 indexed citations
20.
Brown, W.S., et al.. (1979). Supraglottal air pressure and lingual occlusion in midvoalic stop consonant production. Journal of Phonetics. 7(3). 269–277. 3 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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