Demba Ba
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Signal Processing top 5%
- Speech and Audio Processing
Papers in
-
- Blind Source Separation Techniques 14
- Music and Audio Processing 4
- Speech and Audio Processing 4
-
- Neural dynamics and brain function 11
- EEG and Brain-Computer Interfaces 4
- Memory and Neural Mechanisms 4
- Co-authors
- Emery Brown (11 shared papers)Cha Zhang (3 shared papers)Dinei A. F. Florencio (3 shared papers)Flavio P. Ribeiro (3 shared papers)Behtash Babadi (4 shared papers)Patrick L. Purdon (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)Radiation Research (1 paper)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Demba Ba
39 papers receiving 849 citations
Peers
Comparison fields: 5 of 123
- Cognitive Neuroscience 375
- Signal Processing 179
- Behavioral Neuroscience 47
- Health Informatics 10
- Cellular and Molecular Neuroscience 118
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 213 | |
| 2 | 2018 | 135 | |
| 3 | 2013 | 69 | |
| 4 | 2011 | 46 | |
| 5 | 2010 | 38 | |
| 6 | 2016 | 33 | |
| 7 | 2015 | 33 | |
| 8 | 2010 | 31 | |
| 9 | 2017 | 30 | |
| 10 | 2013 | 27 | |
| 11 | 2022 | 24 | |
| 12 | 2014 | 23 | |
| 13 | 2020 | 19 | |
| 14 | 2014 | 18 | |
| 15 | 2020 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2019 | 9 | |
| 18 | 2018 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2020 | 8 |
About Demba Ba
Demba Ba is a scholar working on Signal Processing, Cognitive Neuroscience, Computational Mechanics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 865 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (14 papers), Sparse and Compressive Sensing Techniques (13 papers), Neural dynamics and brain function (11 papers), EEG and Brain-Computer Interfaces (4 papers), Music and Audio Processing (4 papers), Image and Signal Denoising Methods (4 papers), Memory and Neural Mechanisms (4 papers) and Speech and Audio Processing (4 papers). The work is most often cited by research in Cognitive Neuroscience (375 citations), Signal Processing (179 citations), Behavioral Neuroscience (47 citations), Health Informatics (10 citations) and Cellular and Molecular Neuroscience (118 citations). Demba Ba has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Emery Brown, Cha Zhang, Dinei A. F. Florencio, Flavio P. Ribeiro, Behtash Babadi, Patrick L. Purdon, Seong‐Eun Kim, Andrew H. Song, Tülay Adalı and Conor M. Liston. 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 Radiation Research.
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.