D. Mandic
Impact in
- Computational Mathematics top 10%
- Signal Processing top 5%
- Blind Source Separation Techniques
Papers in ⓘ
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- EEG and Brain-Computer Interfaces 2
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- Advanced Adaptive Filtering Techniques 2
- Co-authors
- Naveed ur Rehman (1 shared paper)Masashi Sugiyama (1 shared paper)Anh Huy Phan (1 shared paper)Phebe Vayanos (1 shared paper)Qibin Zhao (1 shared paper)Namgil Lee (1 shared paper)Andrzej Cichocki (1 shared paper)Beth Jelfs (1 shared paper)
- Journals
- Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Nature Machine Intelligence (1 paper)Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing (1 paper)Law/text/culture (1 paper)now publishers, Inc. eBooks (1 paper)
- Partner nations
- United KingdomChinaJapan
In The Last Decade
D. Mandic
5 papers receiving 691 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Computational Mathematics 15
- Signal Processing 168
- Cognitive Neuroscience 211
- Control and Systems Engineering 233
- Environmental Engineering 69
Countries citing papers authored by D. Mandic
This map shows the geographic impact of D. 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 D. Mandic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Mandic more than expected).
Fields of papers citing papers by D. Mandic
This network shows the impact of papers produced by D. 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 D. Mandic. The network helps show where D. Mandic may publish in the future.
Co-authors
The 20 scholars most cited alongside D. 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 | Multivariate empirical mode decomposition Hit paper breakdown → | 2009 | 681 |
| 2 | 2017 | 16 | |
| 3 | 2008 | 8 | |
| 4 | The In-the-Ear Recording Concept | 2012 | 7 |
| 5 | 2025 | 1 | |
| 6 | 2020 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 | |
| 9 | 2021 | 0 |
About D. Mandic
D. Mandic is a scholar working on Cognitive Neuroscience, Computational Mechanics, Law, Cardiology and Cardiovascular Medicine and Control and Systems Engineering, having authored 9 papers that have together received 713 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (2 papers), Law in Society and Culture (2 papers), Advanced Adaptive Filtering Techniques (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Non-Invasive Vital Sign Monitoring (1 paper), Heart Rate Variability and Autonomic Control (1 paper), Gaze Tracking and Assistive Technology (1 paper) and Blind Source Separation Techniques (1 paper). The work is most often cited by research in Computational Mathematics (15 citations), Signal Processing (168 citations), Cognitive Neuroscience (211 citations), Control and Systems Engineering (233 citations) and Environmental Engineering (69 citations). D. Mandic has collaborated with scholars based in United Kingdom, China and Japan. Frequent co-authors include Naveed ur Rehman, Masashi Sugiyama, Anh Huy Phan, Phebe Vayanos, Qibin Zhao, Namgil Lee, Andrzej Cichocki, Beth Jelfs, Ivan Oseledets and Cheolsoo Park. Their work appears in journals such as Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Nature Machine Intelligence, Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing, Law/text/culture and now publishers, Inc. eBooks.
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.