Anil Alexander

412 total citations
25 papers, 250 citations indexed

About

Anil Alexander is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anil Alexander has authored 25 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Signal Processing, 18 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anil Alexander's work include Speech and Audio Processing (17 papers), Speech Recognition and Synthesis (17 papers) and Music and Audio Processing (14 papers). Anil Alexander is often cited by papers focused on Speech and Audio Processing (17 papers), Speech Recognition and Synthesis (17 papers) and Music and Audio Processing (14 papers). Anil Alexander collaborates with scholars based in Switzerland, United States and United Kingdom. Anil Alexander's co-authors include Andrzej Drygajlo, Didier Meuwly, Ahmed Bouridane, Danny Crookes, Mokhtar Nibouche, Finnian Kelly, R.J.J.H. van Son, Linda Gerlach, P.A. Loretan and Xintao Zhou and has published in prestigious journals such as Otolaryngology, Forensic Science International and Advances in Space Research.

In The Last Decade

Anil Alexander

22 papers receiving 218 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anil Alexander Switzerland 10 157 143 80 32 21 25 250
Joseph P. Robinson United States 11 116 0.7× 31 0.2× 333 4.2× 30 0.9× 8 0.4× 22 377
Shixing Chen United States 7 54 0.3× 78 0.5× 266 3.3× 10 0.3× 8 0.4× 13 316
Ulrich Scherhag Germany 11 360 2.3× 82 0.6× 530 6.6× 7 0.2× 6 0.3× 17 579
Pawel Drozdowski Germany 12 250 1.6× 48 0.3× 238 3.0× 10 0.3× 5 0.2× 32 329
Johannes Merkle Germany 6 150 1.0× 28 0.2× 172 2.1× 5 0.2× 5 0.2× 23 228
Yaohai Huang China 7 121 0.8× 135 0.9× 282 3.5× 4 0.1× 9 0.4× 10 371
Nicholas Evans France 8 343 2.2× 258 1.8× 160 2.0× 4 0.1× 4 0.2× 11 441
Giulia Orrù Italy 7 71 0.5× 34 0.2× 93 1.2× 12 0.4× 3 0.1× 28 168
Tobias Scheidat Germany 9 126 0.8× 25 0.2× 126 1.6× 7 0.2× 2 0.1× 23 185
Àlex Loscos Spain 11 267 1.7× 87 0.6× 161 2.0× 3 0.1× 16 0.8× 25 284

Countries citing papers authored by Anil Alexander

Since Specialization
Citations

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

Fields of papers citing papers by Anil Alexander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anil Alexander

This figure shows the co-authorship network connecting the top 25 collaborators of Anil Alexander. A scholar is included among the top collaborators of Anil Alexander 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 Anil Alexander. Anil Alexander 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.
Gerlach, Linda, Kirsty McDougall, Finnian Kelly, Anil Alexander, & Francis Nolan. (2020). Exploring the relationship between voice similarity estimates by listeners and by an automatic speaker recognition system incorporating phonetic features. Speech Communication. 124. 85–95. 3 indexed citations
2.
Kelly, Finnian, et al.. (2020). Residual Networks for Resisting Noise: Analysis of an Embeddings-based Spoofing Countermeasure. UvA-DARE (University of Amsterdam). 326–332. 10 indexed citations
3.
4.
Kelly, Finnian, et al.. (2019). Evaluation of VOCALISE under conditions reflecting those of a real forensic voice comparison case (forensic_eval_01). Speech Communication. 112. 30–36. 6 indexed citations
5.
Kelly, Finnian, et al.. (2019). Deep Neural Network Based Forensic Automatic Speaker Recognition in VOCALISE using x-Vectors. 7 indexed citations
6.
Kelly, Finnian, et al.. (2016). Identifying Perceptually Similar Voices with a Speaker Recognition System Using Auto-Phonetic Features.. Conference of the International Speech Communication Association. 1567–1568. 2 indexed citations
7.
Baki, Marina Mat, John S. Rubin, Gary Wood, et al.. (2015). 9. Is it possible to use acoustic analysis of a patient's voice, measured on a mobile device, to accurately exclude vocal cord paralysis after thyroid surgery?. European Journal of Surgical Oncology. 41(10). S81–S82. 1 indexed citations
8.
9.
Alexander, Anil. (2007). Forensic automatic speaker recognition using Bayesian interpretation and statistical compensation for mismatched conditions. International Journal of Speech Language and the Law. 14(1). 145–156. 18 indexed citations
10.
11.
Alexander, Anil, et al.. (2005). Aural and automatic forensic speaker recognition in mismatched conditions. International Journal of Speech Language and the Law. 12(2). 214–234. 14 indexed citations
12.
Alexander, Anil, et al.. (2004). Handling mismatch in corpus-based forensic speaker recognition.. 69–74. 10 indexed citations
13.
Alexander, Anil, et al.. (2004). An interpretation framework for the evaluation of evidence in forensic automatic speaker recognition with limited suspect data.. IRIS. 63–68. 12 indexed citations
14.
Alexander, Anil, et al.. (2004). On compensation of mismatched recording conditions in the Bayesian approach for forensic automatic speaker recognition. Forensic Science International. 146. S101–S106. 8 indexed citations
15.
Alexander, Anil, et al.. (2004). The effect of mismatched recording conditions on human and automatic speaker recognition in forensic applications. Forensic Science International. 146. S95–S99. 23 indexed citations
16.
Alexander, Anil & Andrzej Drygajlo. (2004). Scoring and direct methods for the interpretation of evidence in forensic speaker recognition. 2397–2400. 13 indexed citations
17.
Drygajlo, Andrzej, Didier Meuwly, & Anil Alexander. (2003). Statistical methods and Bayesian interpretation of evidence in forensic automatic speaker recognition. 689–692. 33 indexed citations
18.
Alexander, Anil & Andrzej Drygajlo. (2002). On Estimation of the Strength of Evidence in Forensic Speaker Recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 37–41. 1 indexed citations
19.
Bouridane, Ahmed, Anil Alexander, Mokhtar Nibouche, & Danny Crookes. (2002). Application of fractals to the detection and classification of shoeprints. 1. 474–477. 36 indexed citations
20.
Alexander, Anil, et al.. (1996). Biological degradation and composition of inedible sweetpotato biomass. Advances in Space Research. 18(1-2). 267–279. 4 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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