Robert E. Hillman

13.0k total citations · 3 hit papers
240 papers, 10.0k citations indexed

About

Robert E. Hillman is a scholar working on Physiology, Speech and Hearing and Experimental and Cognitive Psychology. According to data from OpenAlex, Robert E. Hillman has authored 240 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 199 papers in Physiology, 89 papers in Speech and Hearing and 86 papers in Experimental and Cognitive Psychology. Recurrent topics in Robert E. Hillman's work include Voice and Speech Disorders (199 papers), Dysphagia Assessment and Management (89 papers) and Phonetics and Phonology Research (86 papers). Robert E. Hillman is often cited by papers focused on Voice and Speech Disorders (199 papers), Dysphagia Assessment and Management (89 papers) and Phonetics and Phonology Research (86 papers). Robert E. Hillman collaborates with scholars based in United States, Chile and Canada. Robert E. Hillman's co-authors include Daryush D. Mehta, Eva B. Holmberg, Steven M. Zeitels, Joseph S. Perkell, Julie Barkmeier‐Kraemer, Jarrad H. Van Stan, Dimitar D. Deliyski, James A. Burns, Matías Zañartu and James T. Heaton and has published in prestigious journals such as Science, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Robert E. Hillman

229 papers receiving 9.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Consensus Auditory-Perceptual Evaluation of Voice: Development of a Standardized Clinical Protocol

2009 773 citations Robert E. Hillman et al. American Journal of Speech-Language Pathology profile →
Glottal airflow and transglottal air pressure measurements for male and female speakers in soft, normal, and loud voice

1988 542 citations Robert E. Hillman et al. The Journal of the Acoustical Society of America profile →
Recommended Protocols for Instrumental Assessment of Voice: American Speech-Language-Hearing Association Expert Panel to Develop a Protocol for Instrumental Assessment of Vocal Function

2018 510 citations Dimitar D. Deliyski, Robert E. Hillman et al. American Journal of Speech-Language Pathology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert E. Hillman United States	54	7.9k	3.9k	3.8k	2.5k	2.2k	240	10.0k
Ingo R. Titze United States	78	13.8k 1.7×	8.1k 2.1×	5.2k 1.4×	6.9k 2.7×	2.5k 1.1×	318	17.2k
Jack J. Jiang United States	45	4.9k 0.6×	2.0k 0.5×	2.5k 0.7×	2.2k 0.9×	1.6k 0.7×	317	7.0k
Jan G. Švec Czechia	35	3.3k 0.4×	1.9k 0.5×	1.4k 0.4×	1.6k 0.6×	539 0.2×	105	4.1k
Steven D. Gray United States	44	4.8k 0.6×	1.3k 0.3×	2.7k 0.7×	711 0.3×	2.3k 1.0×	92	7.0k
Thomas Baer United States	30	1.2k 0.2×	1.4k 0.4×	1.2k 0.3×	1.0k 0.4×	253 0.1×	117	4.1k
Minoru Hirano Japan	42	3.8k 0.5×	1.2k 0.3×	2.0k 0.5×	715 0.3×	1.7k 0.8×	255	5.2k
Josep M. Montserrat Spain	58	9.5k 1.2×	1.4k 0.4×	447 0.1×	9 0.0×	5.2k 2.3×	362	12.9k
Claudia Manfredi Italy	26	649 0.1×	253 0.1×	203 0.1×	455 0.2×	190 0.1×	143	2.1k
John R. Wheatley Australia	31	5.2k 0.7×	1.2k 0.3×	455 0.1×	25 0.0×	2.4k 1.1×	117	6.8k
Chiarella Sforza Italy	54	1000 0.1×	476 0.1×	259 0.1×	54 0.0×	235 0.1×	520	12.1k

Countries citing papers authored by Robert E. Hillman

Since Specialization

Citations

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

Fields of papers citing papers by Robert E. Hillman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert E. Hillman

This figure shows the co-authorship network connecting the top 25 collaborators of Robert E. Hillman. A scholar is included among the top collaborators of Robert E. Hillman 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 Robert E. Hillman. Robert E. Hillman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Stan, Jarrad H. Van, et al.. (2025). Estimating the Pathophysiology of Phonotraumatic Vocal Hyperfunction Using Ambulatory Data and a Computational Model. Journal of Speech Language and Hearing Research. 68(3). 949–962.

Stan, Jarrad H. Van, et al.. (2024). Floating Ball Voice Therapy: Preliminary Effects on Outcomes and Predicting Individual Patient Differences in Generalization. Journal of Speech Language and Hearing Research. 67(10). 3521–3535.

Hillman, Robert E., et al.. (2024). Consistency of the Signature of Phonotraumatic Vocal Hyperfunction Across Different Ambulatory Voice Measures. Journal of Speech Language and Hearing Research. 67(7). 1997–2020. 2 indexed citations

Hillman, Robert E., et al.. (2024). Toward Generalizable Machine Learning Models in Speech, Language, and Hearing Sciences: Estimating Sample Size and Reducing Overfitting. Journal of Speech Language and Hearing Research. 67(3). 753–781. 23 indexed citations

Whyte, John, et al.. (2023). Rehabilitation Treatment Specification System for Voice Therapy: Application to Everyday Clinical Care. American Journal of Speech-Language Pathology. 33(2). 814–830. 5 indexed citations

Stan, Jarrad H. Van, et al.. (2023). Quantifying the Occupational Voice Use of Teachers. Perspectives of the ASHA Special Interest Groups. 8(6). 1363–1379. 5 indexed citations

Heaton, James T., James B. Kobler, David Otten, et al.. (2023). Electrical Stimulation of Vocal Fold Adduction Triggered by Laryngeal Electromyography Using a Custom Implant. Journal of Speech Language and Hearing Research. 66(12). 4812–4827.

Deliyski, Dimitar D., et al.. (2022). Framework for Indirect Spatial Calibration of the Horizontal Plane of Endoscopic Laryngeal Images. Journal of Voice. 38(3). 595–611. 2 indexed citations

Stan, Jarrad H. Van, et al.. (2021). Ambulatory Voice Biofeedback: Acquisition and Retention of Modified Daily Voice Use in Patients With Phonotraumatic Vocal Hyperfunction. American Journal of Speech-Language Pathology. 31(1). 409–418. 15 indexed citations

10.

Toles, Laura E., Nelson Roy, Stephanie Sogg, et al.. (2021). Relationships Among Personality, Daily Speaking Voice Use, and Phonotrauma in Adult Female Singers. Journal of Speech Language and Hearing Research. 64(12). 4580–4598. 19 indexed citations

11.

Deliyski, Dimitar D., et al.. (2021). Method for Horizontal Calibration of Laser-Projection Transnasal Fiberoptic High-Speed Videoendoscopy. Applied Sciences. 11(2). 822–822. 7 indexed citations

12.

Stan, Jarrad H. Van, Katherine L. Marks, Laura E. Toles, et al.. (2021). Changes in the Daily Phonotrauma Index Following the Use of Voice Therapy as the Sole Treatment for Phonotraumatic Vocal Hyperfunction in Females. Journal of Speech Language and Hearing Research. 64(9). 3446–3455. 12 indexed citations

13.

Mehta, Daryush D., James B. Kobler, Steven M. Zeitels, et al.. (2021). Direct Measurement and Modeling of Intraglottal, Subglottal, and Vocal Fold Collision Pressures during Phonation in an Individual with a Hemilaryngectomy. Applied Sciences. 11(16). 7256–7256. 8 indexed citations

14.

Weinstein, Alejandro, Juan I. Yuz, Víctor M. Espinoza, et al.. (2021). Kalman Filter Implementation of Subglottal Impedance-Based Inverse Filtering to Estimate Glottal Airflow during Phonation. Applied Sciences. 12(1). 401–401. 4 indexed citations

15.

Hillman, Robert E., et al.. (2020). Cepstral Peak Prominence Values for Clinical Voice Evaluation. American Journal of Speech-Language Pathology. 29(3). 1596–1607. 124 indexed citations

16.

Marks, Katherine L., et al.. (2020). Estimation of Subglottal Pressure From Neck Surface Vibration in Patients With Voice Disorders. Journal of Speech Language and Hearing Research. 63(7). 2202–2218. 16 indexed citations

17.

Marks, Katherine L., et al.. (2020). Ambulatory monitoring of Lombard-related vocal characteristics in vocally healthy female speakers. The Journal of the Acoustical Society of America. 147(6). EL552–EL558. 14 indexed citations

18.

Stan, Jarrad H. Van, et al.. (2020). Quantitative Assessment of Learning and Retention in Virtual Vocal Function Exercises. Journal of Speech Language and Hearing Research. 64(1). 1–15. 8 indexed citations

19.

Zañartu, Matías, Sean D. Peterson, Daryush D. Mehta, et al.. (2019). Toward Development of a Vocal Fold Contact Pressure Probe: Sensor Characterization and Validation Using Synthetic Vocal Fold Models. Applied Sciences. 9(15). 3002–3002. 25 indexed citations

20.

Ghassemi, Marzyeh, Jarrad H. Van Stan, Daryush D. Mehta, et al.. (2014). Learning to Detect Vocal Hyperfunction From Ambulatory Neck-Surface Acceleration Features: Initial Results for Vocal Fold Nodules. DSpace@MIT (Massachusetts Institute of Technology). 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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