Phil Rose

957 total citations
54 papers, 623 citations indexed

About

Phil Rose is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Phil Rose has authored 54 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 18 papers in Signal Processing and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Phil Rose's work include Speech and Audio Processing (18 papers), Speech Recognition and Synthesis (18 papers) and Music and Audio Processing (14 papers). Phil Rose is often cited by papers focused on Speech and Audio Processing (18 papers), Speech Recognition and Synthesis (18 papers) and Music and Audio Processing (14 papers). Phil Rose collaborates with scholars based in Australia, Canada and United States. Phil Rose's co-authors include Daniel Ramos, Javier Ortega-García, Doroteo T. Toledano, Joaquín González-Rodríguez, Geoffrey Stewart Morrison, Shuping Ran, Martin Wagner, Wei Peng, Lei Tao and Tianle Yang and has published in prestigious journals such as The Journal of the Acoustical Society of America, Forensic Science International and Computational Statistics & Data Analysis.

In The Last Decade

Phil Rose

38 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Phil Rose Australia	13	375	273	252	125	55	54	623
Keelan Evanini United States	17	803 2.1×	253 0.9×	273 1.1×	119 1.0×	13 0.2×	93	1.1k
Matteo Gerosa Italy	11	572 1.5×	314 1.2×	237 0.9×	18 0.1×	4 0.1×	26	716
Gerrit Bloothooft Netherlands	14	146 0.4×	135 0.5×	111 0.4×	7 0.1×	85 1.5×	44	449
Kyle Gorman United States	15	384 1.0×	61 0.2×	179 0.7×	145 1.2×	5 0.1×	36	640
Nancy Niedzielski United States	9	497 1.3×	451 1.7×	346 1.4×	516 4.1×	21 0.4×	17	1.1k
Mona Lindau United States	9	252 0.7×	74 0.3×	442 1.8×	279 2.2×	13 0.2×	17	547
Zion Mengesha United States	4	259 0.7×	44 0.2×	42 0.2×	33 0.3×	42 0.8×	7	441
Frances Ingemann United States	9	158 0.4×	50 0.2×	284 1.1×	184 1.5×	15 0.3×	29	460
Charlotte Gooskens Netherlands	20	490 1.3×	92 0.3×	636 2.5×	658 5.3×	12 0.2×	112	1.4k
David Deterding Brunei	22	239 0.6×	53 0.2×	811 3.2×	1.1k 8.6×	54 1.0×	67	1.5k

Countries citing papers authored by Phil Rose

Since Specialization

Citations

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

Fields of papers citing papers by Phil Rose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phil Rose

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Tianle, et al.. (2025). Forensic deepfake audio detection using segmental speech features. Forensic Science International. 379. 112768–112768.

Rose, Phil. (2016). Harold Innis’s History of Communications: Paper and Printing — Antiquity to Early Modernity. Canadian Journal of Communication. 41(4). 693–695.

Rose, Phil, et al.. (2016). Cantonese forensic voice comparison with higher-level features: likelihood ratio-based validation using F-pattern and tonal F0 trajectories over a disyllabic hexaphone. ANU Open Research (Australian National University). 326–333. 7 indexed citations

Rose, Phil. (2015). The Likelihood Ratio goes to Monte Carlo: the effect of reference sample size on likelihood-ratio estimates.

Rose, Phil. (2014). Musical Counter-Environments: Media Ecology as Art Criticism. International journal of communication. 8. 26.

Rose, Phil. (2013). More is better: likelihood ratio-based forensic voice comparison with vocalic segmental cepstra frontends. International Journal of Speech Language and the Law. 20(1). 77–116. 16 indexed citations

Rose, Phil. (2013). Silvan Tomkins as media ecologist. Explorations in Media Ecology. 12(3). 217–227. 1 indexed citations

Rose, Phil. (2012). The Classical Trivium: The Place of Thomas Nashe in the Learning of His Time. Canadian Journal of Communication. 37(4). 4–8. 5 indexed citations

Rose, Phil. (2010). The effect of correlation on strength of evidence estimates in Forensic Voice Comparison: uni- and multivariate Likelihood Ratio-based discrimination with Australian English vowel acoustics. International Journal of Biometrics. 2(4). 316–316. 15 indexed citations

10.

Rose, Phil, et al.. (2010). Traditional Forensic Voice Comparison with Female Formants: Gaussian mixture model and multivariate likelihood ratio analyses. 3 indexed citations

11.

Morrison, Geoffrey Stewart, Phil Rose, & Yuko Kinoshita. (2008). Extraction of likelihood-ratio forensic evidence from the formant trajectories of diphthongs. The Journal of the Acoustical Society of America. 123(5_Supplement). 3877–3877. 1 indexed citations

12.

González-Rodríguez, Joaquín, Phil Rose, Daniel Ramos, Doroteo T. Toledano, & Javier Ortega-García. (2007). Emulating DNA: Rigorous Quantification of Evidential Weight in Transparent and Testable Forensic Speaker Recognition. IEEE Transactions on Audio Speech and Language Processing. 15(7). 2104–2115. 118 indexed citations

13.

Rose, Phil. (2005). Forensic Speaker Recognition at the Beginning of the Twenty-First Century - An Overview and a Demonstration. Australian Journal of Forensic Sciences. 37(2). 49–71. 11 indexed citations

14.

Haake, Steve, et al.. (2000). Slowing the game with bigger balls. SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University). 1 indexed citations

15.

Rose, Phil, et al.. (2000). Lexical Evidence for Early Contact between Indonesian Languages and Japanese. Oceanic Linguistics. 39(2). 219–255. 7 indexed citations

16.

Rose, Phil. (1999). Differences and distinguishability in the acoustic characteristics of hello in voices of similar-sounding speakers. Australian Review of Applied Linguistics. 22(1). 1–42. 17 indexed citations

17.

Rose, Phil. (1998). The differential status of semivowels in the acoustic phonetic realisation of tone. paper 0298–0. 1 indexed citations

18.

Rose, Phil. (1991). How effective are long term mean and standard deviation as normalisation parameters for tonal fundamental frequency?. Speech Communication. 10(3). 229–247. 30 indexed citations

19.

Rowe, Beverley Charles, Andrew Westlake, & Phil Rose. (1990). Software for statistical and social survey analysis 1989–90. Computational Statistics & Data Analysis. 9(3). 317–340.

20.

Rose, Phil, et al.. (1983). Friction drag and other design parameters for acoustic face sheets. 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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