Aaron Nicolson

4.1k total citations · 1 hit paper
36 papers, 3.0k citations indexed

About

Aaron Nicolson is a scholar working on Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Aaron Nicolson has authored 36 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Signal Processing, 14 papers in Artificial Intelligence and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Aaron Nicolson's work include Speech and Audio Processing (18 papers), Speech Recognition and Synthesis (9 papers) and Advanced Adaptive Filtering Techniques (8 papers). Aaron Nicolson is often cited by papers focused on Speech and Audio Processing (18 papers), Speech Recognition and Synthesis (9 papers) and Advanced Adaptive Filtering Techniques (8 papers). Aaron Nicolson collaborates with scholars based in Australia, United States and China. Aaron Nicolson's co-authors include G. Ross, Kuldip K. Paliwal, Qiquan Zhang, Jason Dowling, Bevan Koopman, Mingjiang Wang, C.P. Wang, Haizhou Li, C. Bennett and L. Susman and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Access and IEEE Transactions on Microwave Theory and Techniques.

In The Last Decade

Aaron Nicolson

35 papers receiving 2.8k citations

Hit Papers

Measurement of the Intrinsic Properties of Materials by T... 1970 2026 1988 2007 1970 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron Nicolson Australia 13 1.5k 1.2k 1.0k 500 372 36 3.0k
Zhiwei Xu China 35 2.0k 1.4× 931 0.8× 725 0.7× 2.4k 4.7× 148 0.4× 279 4.7k
Wei Ma China 21 1.4k 0.9× 1.8k 1.5× 967 1.0× 1.1k 2.1× 42 0.1× 89 3.5k
Naixing Feng China 20 722 0.5× 334 0.3× 303 0.3× 279 0.6× 169 0.5× 92 1.3k
Traianos V. Yioultsis Greece 25 1.3k 0.9× 341 0.3× 1.0k 1.0× 340 0.7× 113 0.3× 168 2.0k
Long Wu Taiwan 29 1.4k 1.0× 245 0.2× 297 0.3× 704 1.4× 300 0.8× 180 3.2k
Yun Lai China 36 730 0.5× 3.5k 2.9× 2.1k 2.1× 2.5k 5.1× 133 0.4× 176 5.4k
Hideo Iizuka Japan 26 743 0.5× 439 0.4× 620 0.6× 518 1.0× 41 0.1× 121 2.1k
Michael R. Haberman United States 27 298 0.2× 1.1k 0.9× 489 0.5× 2.2k 4.5× 145 0.4× 145 3.8k
Reinhard Lerch Germany 23 715 0.5× 273 0.2× 367 0.4× 1.1k 2.2× 32 0.1× 206 2.3k
Kai‐Da Xu China 34 3.1k 2.1× 892 0.7× 2.2k 2.2× 1.2k 2.5× 30 0.1× 337 4.4k

Countries citing papers authored by Aaron Nicolson

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Nicolson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Nicolson

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron Nicolson. A scholar is included among the top collaborators of Aaron Nicolson 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 Aaron Nicolson. Aaron Nicolson 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.
Nicolson, Aaron, et al.. (2024). Longitudinal data and a semantic similarity reward for chest X-ray report generation. Informatics in Medicine Unlocked. 50. 101585–101585. 8 indexed citations
4.
Nicolson, Aaron, Jason Dowling, & Bevan Koopman. (2023). e-Health CSIRO at RadSum23: Adapting a Chest X-Ray Report Generator to Multimodal Radiology Report Summarisation. Griffith Research Online (Griffith University, Queensland, Australia). 545–549. 1 indexed citations
5.
Nicolson, Aaron, Jason Dowling, & Bevan Koopman. (2023). Improving chest X-ray report generation by leveraging warm starting. Artificial Intelligence in Medicine. 144. 102633–102633. 66 indexed citations
6.
Nicolson, Aaron, et al.. (2022). On supervised LPC estimation training targets for augmented Kalman filter-based speech enhancement. Speech Communication. 142. 49–60. 2 indexed citations
7.
Zhang, Qiquan, Qi Song, Zhaoheng Ni, Aaron Nicolson, & Haizhou Li. (2022). Time-Frequency Attention for Monaural Speech Enhancement. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7852–7856. 18 indexed citations
8.
Nicolson, Aaron, et al.. (2021). DeepLPC-MHANet: Multi-Head Self-Attention for Augmented Kalman Filter-Based Speech Enhancement. IEEE Access. 9. 70516–70530. 10 indexed citations
9.
Nicolson, Aaron, et al.. (2021). DeepLPC: A Deep Learning Approach to Augmented Kalman Filter-Based Single-Channel Speech Enhancement. IEEE Access. 9. 64524–64538. 13 indexed citations
10.
Nicolson, Aaron, Jason Dowling, & Bevan Koopman. (2021). AEHRC CSIRO at ImageCLEFmed Caption 2021.. Griffith Research Online (Griffith University, Queensland, Australia). 1317–1328. 1 indexed citations
11.
Nicolson, Aaron, et al.. (2021). Automated COVID-19 diagnosis and prognosis with medical imaging and who is publishing: a systematic review. Physical and Engineering Sciences in Medicine. 45(1). 13–29. 7 indexed citations
12.
Zhang, Qiquan, Aaron Nicolson, Mingjiang Wang, Kuldip K. Paliwal, & C.P. Wang. (2020). DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 1404–1415. 104 indexed citations
13.
Nicolson, Aaron, et al.. (2020). A Deep Learning-Based Kalman Filter for Speech Enhancement. Griffith Research Online (Griffith University, Queensland, Australia). 2692–2696. 12 indexed citations
14.
Nicolson, Aaron, et al.. (2020). Deep Residual-Dense Lattice Network for Speech Enhancement. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 8552–8559. 27 indexed citations
15.
Nicolson, Aaron & Kuldip K. Paliwal. (2019). Deep learning for minimum mean-square error approaches to speech enhancement. Speech Communication. 111. 44–55. 95 indexed citations
16.
Nicolson, Aaron, Jack Hanson, James Lyons, & Kuldip K. Paliwal. (2018). Spectral Subband Centroids for Robust Speaker Identification Using Marginalization-based Missing Feature Theory. Griffith Research Online (Griffith University, Queensland, Australia). 6(1). 12–16. 5 indexed citations
17.
Nicolson, Aaron, et al.. (1976). Subnanosecond risetime pulse generators. IEEE Transactions on Instrumentation and Measurement. IM-25(2). 104–107. 10 indexed citations
18.
Nicolson, Aaron & G. Ross. (1975). A new radar concept for short range application. 146–151. 7 indexed citations
19.
Nicolson, Aaron, et al.. (1971). Time Domain Measurement of Microwave Absorbers. Defense Technical Information Center (DTIC). 4 indexed citations
20.
Nicolson, Aaron. (1968). Broad-Band Microwave Transmission Characteristics from a Single Measurement of the Transient Response. IEEE Transactions on Instrumentation and Measurement. 17(4). 395–402. 113 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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