James D. Harnsberger

1.2k total citations
32 papers, 738 citations indexed

About

James D. Harnsberger is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, James D. Harnsberger has authored 32 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Experimental and Cognitive Psychology, 15 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in James D. Harnsberger's work include Phonetics and Phonology Research (17 papers), Speech and Audio Processing (12 papers) and Speech Recognition and Synthesis (12 papers). James D. Harnsberger is often cited by papers focused on Phonetics and Phonology Research (17 papers), Speech and Audio Processing (12 papers) and Speech Recognition and Synthesis (12 papers). James D. Harnsberger collaborates with scholars based in United States, United Kingdom and China. James D. Harnsberger's co-authors include Harry Hollien, Stephanie Lindemann, Patrice Speeter Beddor, Rahul Shrivastav, Howard B. Rothman, W.S. Brown, Caroline R. Wiltshire, David B. Pisoni, Xiaojuan Xu and Jeffrey A. Richards and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Speech Language and Hearing Research and Forensic Science International.

In The Last Decade

James D. Harnsberger

30 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James D. Harnsberger United States 14 446 265 226 167 161 32 738
Fangfang Li Canada 14 388 0.9× 158 0.6× 187 0.8× 204 1.2× 70 0.4× 40 626
Noël Nguyen France 14 478 1.1× 204 0.8× 221 1.0× 106 0.6× 76 0.5× 57 601
Jean E. Andruski United States 9 800 1.8× 296 1.1× 235 1.0× 583 3.5× 138 0.9× 19 1.1k
Jelena Krivokapić United States 13 585 1.3× 300 1.1× 293 1.3× 169 1.0× 53 0.3× 39 733
Ewa Jacewicz United States 16 883 2.0× 403 1.5× 590 2.6× 138 0.8× 145 0.9× 66 1.0k
Rena A. Krakow United States 14 482 1.1× 228 0.9× 326 1.4× 234 1.4× 71 0.4× 24 772
Stephanie A. Borrie United States 19 545 1.2× 164 0.6× 94 0.4× 181 1.1× 196 1.2× 61 906
Jessica A. Barlow United States 20 772 1.7× 253 1.0× 260 1.2× 616 3.7× 50 0.3× 57 1.1k
Ton G. Wempe Netherlands 5 225 0.5× 177 0.7× 56 0.2× 136 0.8× 72 0.4× 12 472
Volker Dellwo Switzerland 16 604 1.4× 391 1.5× 263 1.2× 92 0.6× 198 1.2× 98 820

Countries citing papers authored by James D. Harnsberger

Since Specialization
Citations

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

Fields of papers citing papers by James D. Harnsberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Harnsberger. 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 James D. Harnsberger. The network helps show where James D. Harnsberger may publish in the future.

Co-authorship network of co-authors of James D. Harnsberger

This figure shows the co-authorship network connecting the top 25 collaborators of James D. Harnsberger. A scholar is included among the top collaborators of James D. Harnsberger 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 James D. Harnsberger. James D. Harnsberger 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.
Hollien, Harry, et al.. (2016). The case for aural perceptual speaker identification. Forensic Science International. 269. 8–20. 3 indexed citations
2.
Gilkerson, Jill, Yiwen Zhang, Dongxin Xu, et al.. (2015). Evaluating Language Environment Analysis System Performance for Chinese: A Pilot Study in Shanghai. Journal of Speech Language and Hearing Research. 58(2). 445–452. 64 indexed citations
3.
Hollien, Harry, Ruth Huntley Bahr, & James D. Harnsberger. (2013). Issues in Forensic Voice. Journal of Voice. 28(2). 170–184. 7 indexed citations
4.
Skowronski, Mark D., Rahul Shrivastav, James D. Harnsberger, Supraja Anand, & Jay Rosenbek. (2012). Acoustic discrimination of Parkinsonian speech using cepstral measures of articulation. The Journal of the Acoustical Society of America. 132(3_Supplement). 2089–2089. 2 indexed citations
5.
Harnsberger, James D., Rahul Shrivastav, & W.S. Brown. (2010). Modeling perceived vocal age in american English. 466–469. 3 indexed citations
6.
Hollien, Harry & James D. Harnsberger. (2010). Speaker identification: The case for speech vector analysis.. The Journal of the Acoustical Society of America. 128(4_Supplement). 2394–2394. 4 indexed citations
7.
Harnsberger, James D., et al.. (2009). Stress and Deception in Speech: Evaluating Layered Voice Analysis*. Journal of Forensic Sciences. 54(3). 642–650. 37 indexed citations
8.
Harnsberger, James D., William S. Brown, Rahul Shrivastav, & Howard B. Rothman. (2009). Noise and Tremor in the Perception of Vocal Aging in Males. Journal of Voice. 24(5). 523–530. 33 indexed citations
9.
Hollien, Harry, et al.. (2009). Perceiving the Effects of Ethanol Intoxication on Voice. Journal of Voice. 23(5). 552–559. 8 indexed citations
10.
Hollien, Harry, et al.. (2008). Evaluation of the NITV CVSA. Journal of Forensic Sciences. 53(1). 183–193. 12 indexed citations
11.
Harnsberger, James D., Richard Wright, & David B. Pisoni. (2007). A new method for eliciting three speaking styles in the laboratory. Speech Communication. 50(4). 323–336. 16 indexed citations
12.
Harnsberger, James D., Rahul Shrivastav, & Mark D. Skowronski. (2007). The application of a psychophysical difference metric to perceptual similarity judgments in vowels. The Journal of the Acoustical Society of America. 122(5_Supplement). 3029–3030. 1 indexed citations
13.
Harnsberger, James D., Rahul Shrivastav, W.S. Brown, Howard B. Rothman, & Harry Hollien. (2006). Speaking Rate and Fundamental Frequency as Speech Cues to Perceived Age. Journal of Voice. 22(1). 58–69. 114 indexed citations
14.
Wayland, Ratree, et al.. (2004). Stability in perceptual assimilation: Talker and vowel context effects. The Journal of the Acoustical Society of America. 116(4_Supplement). 2571–2571. 1 indexed citations
15.
Shrivastav, Rahul, Harry Hollien, W.S. Brown, Howard B. Rothman, & James D. Harnsberger. (2003). Shifting perceptions of age in voice. The Journal of the Acoustical Society of America. 114(4_Supplement). 2336–2337. 2 indexed citations
16.
Clopper, Cynthia G., et al.. (2002). The Indiana Speech Project: An Overview of the Development of a Multi-Talker Multi-Dialect Speech Corpus 1. 13 indexed citations
18.
Harnsberger, James D., et al.. (2001). Perceptual “vowel spaces” of cochlear implant users: Implications for the study of auditory adaptation to spectral shift. The Journal of the Acoustical Society of America. 109(5). 2135–2145. 43 indexed citations
19.
Harnsberger, James D.. (1999). A Comparison of Three Metrics of Perceptual Similarity in Cross- Language Speech Perception. Proceedings of the Annual Meeting of the Berkeley Linguistics Society. 25(1). 157–157. 1 indexed citations
20.
Harnsberger, James D.. (1998). The perception of non-native nasal contrasts: A cross-linguistic perspective.. Deep Blue (University of Michigan). 1 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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