Ewald Enzinger

470 total citations
28 papers, 272 citations indexed

About

Ewald Enzinger is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ewald Enzinger has authored 28 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 25 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ewald Enzinger's work include Speech and Audio Processing (24 papers), Speech Recognition and Synthesis (24 papers) and Music and Audio Processing (17 papers). Ewald Enzinger is often cited by papers focused on Speech and Audio Processing (24 papers), Speech Recognition and Synthesis (24 papers) and Music and Audio Processing (17 papers). Ewald Enzinger collaborates with scholars based in Australia, Austria and Canada. Ewald Enzinger's co-authors include Geoffrey Stewart Morrison, Cuiling Zhang, Cédric Neumann, Vincent Hughes, Michael E. Jessen, Rolf J.F. Ypma, Didier Meuwly, William C. Thompson, Christian H. Kasess and Alicia Lozano-Díez and has published in prestigious journals such as The Journal of the Acoustical Society of America, Forensic Science International and Speech Communication.

In The Last Decade

Ewald Enzinger

27 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ewald Enzinger Australia 9 198 135 44 41 27 28 272
Rudolf Haraksim Italy 7 68 0.3× 98 0.7× 93 2.1× 65 1.6× 3 0.1× 18 261
Rémi Lebret Switzerland 7 205 1.0× 15 0.1× 64 1.5× 6 0.1× 4 0.1× 16 290
S.F. Chen United States 6 276 1.4× 71 0.5× 25 0.6× 2 0.0× 7 0.3× 8 304
Arun Babu India 3 248 1.3× 112 0.8× 28 0.6× 19 0.7× 4 299
Mohammed Alhazmi Saudi Arabia 12 312 1.6× 125 0.9× 39 0.9× 1 0.0× 53 2.0× 26 342
Adriana Stan Romania 10 279 1.4× 108 0.8× 16 0.4× 1 0.0× 22 0.8× 50 325
Ciro Martins Portugal 8 216 1.1× 146 1.1× 25 0.6× 12 0.4× 26 276
David Suendermann Germany 8 166 0.8× 63 0.5× 22 0.5× 1 0.0× 18 0.7× 22 203
Chenchen Ding Japan 10 288 1.5× 30 0.2× 80 1.8× 21 0.8× 45 313
Tatiana Likhomanenko United States 4 151 0.8× 78 0.6× 24 0.5× 12 0.4× 11 168

Countries citing papers authored by Ewald Enzinger

Since Specialization
Citations

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

Fields of papers citing papers by Ewald Enzinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ewald Enzinger. 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 Ewald Enzinger. The network helps show where Ewald Enzinger may publish in the future.

Co-authorship network of co-authors of Ewald Enzinger

This figure shows the co-authorship network connecting the top 25 collaborators of Ewald Enzinger. A scholar is included among the top collaborators of Ewald Enzinger 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 Ewald Enzinger. Ewald Enzinger 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.
Morrison, Geoffrey Stewart, et al.. (2022). The opacity myth: A response to Swofford & Champod (2022). Forensic Science International Synergy. 5. 100275–100275. 4 indexed citations
2.
Enzinger, Ewald, et al.. (2022). Validations of an alpha version of the E3 Forensic Speech Science System (E3FS3) core software tools. Forensic Science International Synergy. 4. 100223–100223. 8 indexed citations
3.
Morrison, Geoffrey Stewart, Ewald Enzinger, Vincent Hughes, et al.. (2021). Consensus on validation of forensic voice comparison. Science & Justice. 61(3). 299–309. 47 indexed citations
4.
Morrison, Geoffrey Stewart & Ewald Enzinger. (2017). Score based procedures for the calculation of forensic likelihood ratios – Scores should take account of both similarity and typicality. Science & Justice. 58(1). 47–58. 40 indexed citations
5.
Enzinger, Ewald & Geoffrey Stewart Morrison. (2017). Empirical test of the performance of an acoustic-phonetic approach to forensic voice comparison under conditions similar to those of a real case. Forensic Science International. 277. 30–40. 10 indexed citations
6.
Morrison, Geoffrey Stewart & Ewald Enzinger. (2016). What should a forensic practitioner's likelihood ratio be?. Science & Justice. 56(5). 374–379. 29 indexed citations
7.
8.
Zhang, Cuiling, Geoffrey Stewart Morrison, & Ewald Enzinger. (2016). Use of relevant data, quantitative measurements, and statistical models to calculate a likelihood ratio for a Chinese forensic voice comparison case involving two sisters. Forensic Science International. 267. 115–124. 5 indexed citations
9.
10.
Enzinger, Ewald & Christian H. Kasess. (2014). Bayesian vocal tract model estimates of nasal stops for speaker verification. 4. 1685–1689. 2 indexed citations
11.
Zhang, Cuiling, et al.. (2013). Effects of telephone transmission on the performance of formant-trajectory-based forensic voice comparison – Female voices. Speech Communication. 55(6). 796–813. 18 indexed citations
12.
Zhang, Cuiling & Ewald Enzinger. (2013). Fusion of multiple formant-trajectory- and fundamental-frequency-based forensic-voice-comparison systems: Chinese /ei1/, /ai2/, and /iau1/. The Journal of the Acoustical Society of America. 133(5_Supplement). 3295–3295. 3 indexed citations
13.
Ambikairajah, Eliathamby, et al.. (2013). A comparison of single-stage and two-stage modelling approaches for automatic forensic speaker recognition. 6. 433–438. 2 indexed citations
14.
15.
Enzinger, Ewald, Cuiling Zhang, & Geoffrey Stewart Morrison. (2012). Voice source features for forensic voice comparison - an evaluation of the GLOTTEX software package.. 78–85. 4 indexed citations
16.
Zhang, Cuiling, et al.. (2012). Reliability of human-supervised formant-trajectory measurement for forensic voice comparison. The Journal of the Acoustical Society of America. 133(1). EL54–EL60. 16 indexed citations
17.
Kasess, Christian H., et al.. (2012). Estimation of the vocal tract shape of nasals using a Bayesian scheme. 699–702. 3 indexed citations
18.
Enzinger, Ewald, et al.. (2011). A logarithmic based pole-zero vocal tract model estimation for speaker verification. 4820–4823. 4 indexed citations
19.
Enzinger, Ewald. (2010). Measuring the effects of adaptive multirate (AMR) codecs on formant tracker performance.. The Journal of the Acoustical Society of America. 128(4_Supplement). 2394–2394. 1 indexed citations
20.
Enzinger, Ewald. (2010). Characterizing Formant Tracks in Viennese Diphthongs for Forensic Speaker Comparison. 2 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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