Danilo P. Mandic
Impact in
- Computational Mathematics top 0.05%
- Tensor decomposition and applications
- Signal Processing top 0.05%
- Blind Source Separation Techniques
- Speech and Audio Processing
Papers in
-
- Blind Source Separation Techniques 172
- Speech and Audio Processing 53
- Co-authors
- Clive Cheong TookJonathon A. ChambersNaveed ur RehmanDavid LooneyYili XiaVanessa Su Lee GohAndrzej CichockiMosabber Uddin Ahmed
- Journals
- IEEE Transactions on Signal Processing (28 papers)Signal Processing (26 papers)IEEE Signal Processing Letters (25 papers)IEEE Signal Processing Magazine (15 papers)IEEE Transactions on Neural Networks and Learning Systems (14 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Danilo P. Mandic
529 papers receiving 16.7k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Computational Mathematics 1.3k
- Signal Processing 4.8k
- Cognitive Neuroscience 3.6k
- Computational Mechanics 3.6k
- Control and Systems Engineering 2.6k
Countries citing papers authored by Danilo P. Mandic
This map shows the geographic impact of Danilo P. Mandic'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 Danilo P. Mandic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo P. Mandic more than expected).
Fields of papers citing papers by Danilo P. Mandic
This network shows the impact of papers produced by Danilo P. Mandic. 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 Danilo P. Mandic. The network helps show where Danilo P. Mandic may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danilo P. Mandic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 16 | |
| 13 | 2019 | 5 | |
| 14 | 2018 | 11 | |
| 15 | 2017 | 38 | |
| 16 | 2017 | 2 | |
| 17 | 2016 | 82 | |
| 18 | 2013 | 1 | |
| 19 | 2011 | 14 | |
| 20 | A class of adaptively regularised PNLMS algorithms | 2007 | 0 |
About Danilo P. Mandic
Danilo P. Mandic is a scholar working on Computational Mathematics, Signal Processing, Computational Mechanics, Artificial Intelligence and Cognitive Neuroscience, having authored 548 papers that have together received 17.2k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (172 papers), Advanced Adaptive Filtering Techniques (137 papers), Neural Networks and Applications (101 papers), EEG and Brain-Computer Interfaces (83 papers), Image and Signal Denoising Methods (57 papers), Speech and Audio Processing (53 papers), Target Tracking and Data Fusion in Sensor Networks (37 papers) and Neural dynamics and brain function (37 papers). The work is most often cited by research in Computational Mathematics (1.3k citations), Signal Processing (4.8k citations), Cognitive Neuroscience (3.6k citations), Computational Mechanics (3.6k citations) and Control and Systems Engineering (2.6k citations). Danilo P. Mandic has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Clive Cheong Took, Jonathon A. Chambers, Naveed ur Rehman, David Looney, Yili Xia, Vanessa Su Lee Goh, Andrzej Cichocki, Mosabber Uddin Ahmed, Preben Kidmose and Anh Huy Phan. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, IEEE Signal Processing Letters, IEEE Signal Processing Magazine and IEEE Transactions on Neural Networks and Learning Systems.
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.