Ivan Himawan

419 total citations
32 papers, 299 citations indexed

About

Ivan Himawan is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ivan Himawan has authored 32 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Signal Processing, 19 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ivan Himawan's work include Speech and Audio Processing (23 papers), Speech Recognition and Synthesis (19 papers) and Music and Audio Processing (15 papers). Ivan Himawan is often cited by papers focused on Speech and Audio Processing (23 papers), Speech Recognition and Synthesis (19 papers) and Music and Audio Processing (15 papers). Ivan Himawan collaborates with scholars based in Australia, Switzerland and United Kingdom. Ivan Himawan's co-authors include Iain McCowan, Mike Lincoln, Petr Motlíček, Sridha Sridharan, Dian Tjondronegoro, György Szaszák, Ajay Srinivasamurthy, David Dean, Youssef Oualil and Hartmut Helmke and has published in prestigious journals such as IEEE Access, IEEE Transactions on Audio Speech and Language Processing and Speech Communication.

In The Last Decade

Ivan Himawan

32 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ivan Himawan Australia	10	236	160	54	44	31	32	299
Anastasios Alexandridis Greece	10	289 1.2×	90 0.6×	156 2.9×	52 1.2×	23 0.7×	20	393
Miquel Espi Japan	5	268 1.1×	158 1.0×	15 0.3×	70 1.6×	28 0.9×	13	295
Jonathan Dennis Singapore	6	262 1.1×	106 0.7×	36 0.7×	7 0.2×	75 2.4×	16	335
Seyed Mohammad Ahadi Iran	11	173 0.7×	89 0.6×	44 0.8×	74 1.7×	98 3.2×	39	298
Despoina Pavlidi Greece	9	348 1.5×	33 0.2×	135 2.5×	113 2.6×	18 0.6×	14	394
Antti Hurmalainen Finland	11	428 1.8×	274 1.7×	16 0.3×	84 1.9×	53 1.7×	23	471
Renhua Peng China	10	220 0.9×	85 0.5×	36 0.7×	126 2.9×	28 0.9×	26	273
Srđan Kitić France	6	226 1.0×	55 0.3×	49 0.9×	48 1.1×	32 1.0×	11	291
Pooyan Safari Germany	9	116 0.5×	149 0.9×	42 0.8×	5 0.1×	10 0.3×	37	235
Dongsuk Yook South Korea	10	221 0.9×	144 0.9×	46 0.9×	34 0.8×	53 1.7×	31	298

Countries citing papers authored by Ivan Himawan

Since Specialization

Citations

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

Fields of papers citing papers by Ivan Himawan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Himawan

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Himawan. A scholar is included among the top collaborators of Ivan Himawan 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 Ivan Himawan. Ivan Himawan 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

Himawan, Ivan, et al.. (2022). Jointly Trained Conversion Model With LPCNet for Any-to-One Voice Conversion Using Speaker-Independent Linguistic Features. IEEE Access. 10. 134029–134037. 1 indexed citations

Himawan, Ivan, et al.. (2020). Speaker Adaptation of a Multilingual Acoustic Model for Cross-Language Synthesis. Edinburgh Research Explorer. 7629–7633. 11 indexed citations

Himawan, Ivan, Fernando Villavicencio, Sridha Sridharan, & Clinton Fookes. (2019). Deep domain adaptation for anti-spoofing in speaker verification systems. Computer Speech & Language. 58. 377–402. 11 indexed citations

Himawan, Ivan, et al.. (2019). Investigating Domain Sensitivity of DNN Embeddings for Speaker Recognition Systems. 5811–5815. 3 indexed citations

Himawan, Ivan, Michael Towsey, & Paul Roe. (2018). 3D convolution recurrent neural networks for bird sound detection. QUT ePrints (Queensland University of Technology). 9 indexed citations

Himawan, Ivan, et al.. (2018). Employing Phonetic Information in DNN Speaker Embeddings to Improve Speaker Recognition Performance. 3593–3597. 7 indexed citations

Himawan, Ivan, et al.. (2018). Investigating Deep Neural Networks for Speaker Diarization in the DIHARD Challenge. 1997. 1029–1035. 3 indexed citations

Srinivasamurthy, Ajay, Petr Motlíček, Ivan Himawan, et al.. (2017). Semi-Supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control. elib (German Aerospace Center). 2406–2410. 40 indexed citations

Himawan, Ivan, et al.. (2017). Domain Mismatch Modeling of Out-Domain i-Vectors for PLDA Speaker Verification. 1581–1585. 3 indexed citations

10.

Kanagasundaram, Ahilan, et al.. (2017). Improving PLDA speaker verification performance using domain mismatch compensation techniques. Computer Speech & Language. 47. 240–258. 19 indexed citations

11.

Himawan, Ivan, Petr Motlíček, David Imseng, & Sridha Sridharan. (2016). Feature mapping using far-field microphones for distant speech recognition. Speech Communication. 83. 1–9. 4 indexed citations

12.

Madikeri, Srikanth, et al.. (2015). Integrating online i-vector extractor with information bottleneck based speaker diarization system. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3105–3109. 19 indexed citations

13.

Himawan, Ivan, et al.. (2015). Learning feature mapping using deep neural network bottleneck features for distant large vocabulary speech recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4540–4544. 21 indexed citations

14.

Tjondronegoro, Dian, et al.. (2014). Acceptability-based QoE Management for User-centric Mobile Video Delivery. QUT ePrints (Queensland University of Technology). 267–276. 7 indexed citations

15.

Himawan, Ivan, Wei Song, & Dian Tjondronegoro. (2012). Impact of Region-of-Interest Video Coding on Perceived Quality in Mobile Video. Griffith Research Online (Griffith University, Queensland, Australia). 20. 79–84. 6 indexed citations

16.

Himawan, Ivan, Iain McCowan, & Sridha Sridharan. (2010). Clustering of ad-hoc microphone arrays for robust blind beamforming. 2814–2817. 10 indexed citations

17.

Himawan, Ivan, et al.. (2009). FPGA implementation of dual-microphone delay-and-sum beamforming for in-car speech enhancement and recognition. QUT ePrints (Queensland University of Technology). 2 indexed citations

18.

Himawan, Ivan, Iain McCowan, & Mike Lincoln. (2008). Microphone Array Beamforming Approach to Blind Speech Separation. Lecture notes in computer science. 295–305. 2 indexed citations

19.

McCowan, Iain, Mike Lincoln, & Ivan Himawan. (2008). Microphone Array Shape Calibration in Diffuse Noise Fields. IEEE Transactions on Audio Speech and Language Processing. 16(3). 666–670. 68 indexed citations

20.

Himawan, Ivan, Sridha Sridharan, & Iain McCowan. (2008). Dealing with uncertainty in microphone placement in a microphone array speech recognition system. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 1565–1568. 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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