Demba Ba
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Blind Source Separation Techniques
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
Papers in
-
- Blind Source Separation Techniques 13
- Music and Audio Processing 4
- Speech and Audio Processing 4
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- Neural dynamics and brain function 12
- Memory and Neural Mechanisms 4
- EEG and Brain-Computer Interfaces 4
- Co-authors
- Emery N. Brown (11 shared papers)Dinei Florêncio (3 shared papers)Flávio Ribeiro (3 shared papers)Cha Zhang (3 shared papers)Patrick L. Purdon (4 shared papers)Behtash Babadi (4 shared papers)Seong‐Eun Kim (3 shared papers)Andrew H. Song (6 shared papers)
- Journals
- IEEE Transactions on Signal Processing (7 papers)Proceedings of the National Academy of Sciences (3 papers)Neural Computation (2 papers)IEEE Signal Processing Letters (2 papers)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesBrazilSouth Korea
In The Last Decade
Demba Ba
36 papers receiving 560 citations
Peers
Comparison fields: 5 of 108
- Signal Processing 174
- Cognitive Neuroscience 228
- Computational Mechanics 116
- Anesthesiology and Pain Medicine 25
- Health Informatics 6
Countries citing papers authored by Demba Ba
This map shows the geographic impact of Demba Ba'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 Demba Ba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Demba Ba more than expected).
Fields of papers citing papers by Demba Ba
This network shows the impact of papers produced by Demba Ba. 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 Demba Ba. The network helps show where Demba Ba may publish in the future.
Co-authors
The 25 scholars most cited alongside Demba Ba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 105 | |
| 2 | 2013 | 59 | |
| 3 | 2011 | 43 | |
| 4 | 2010 | 36 | |
| 5 | 2016 | 32 | |
| 6 | 2010 | 31 | |
| 7 | 2017 | 28 | |
| 8 | 2015 | 28 | |
| 9 | 2013 | 26 | |
| 10 | 2014 | 23 | |
| 11 | 2022 | 20 | |
| 12 | 2014 | 18 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 12 | |
| 15 | 2023 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2018 | 7 |
About Demba Ba
Demba Ba is a scholar working on Signal Processing, Cognitive Neuroscience, Computational Mechanics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 38 papers that have together received 573 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (13 papers), Sparse and Compressive Sensing Techniques (12 papers), Neural dynamics and brain function (12 papers), Memory and Neural Mechanisms (4 papers), Music and Audio Processing (4 papers), Speech and Audio Processing (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Signal Processing (174 citations), Cognitive Neuroscience (228 citations), Computational Mechanics (116 citations), Anesthesiology and Pain Medicine (25 citations) and Health Informatics (6 citations). Demba Ba has collaborated with scholars based in United States, Brazil and South Korea. Frequent co-authors include Emery N. Brown, Dinei Florêncio, Flávio Ribeiro, Cha Zhang, Patrick L. Purdon, Behtash Babadi, Seong‐Eun Kim, Andrew H. Song, Simona Temereanca and Tülay Adalı. Their work appears in journals such as IEEE Transactions on Signal Processing, Proceedings of the National Academy of Sciences, Neural Computation, IEEE Signal Processing Letters and Journal of Neuroscience.
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.