Demba Ba

1.3k total citations
38 papers, 573 citations indexed

About

Demba Ba is a scholar working on Signal Processing, Cognitive Neuroscience and Computational Mechanics. According to data from OpenAlex, Demba Ba has authored 38 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Signal Processing, 15 papers in Cognitive Neuroscience and 12 papers in Computational Mechanics. Recurrent topics in Demba Ba's work include Blind Source Separation Techniques (13 papers), Sparse and Compressive Sensing Techniques (12 papers) and Neural dynamics and brain function (12 papers). Demba Ba is often cited by papers focused on Blind Source Separation Techniques (13 papers), Sparse and Compressive Sensing Techniques (12 papers) and Neural dynamics and brain function (12 papers). Demba Ba collaborates with scholars based in United States, Brazil and United Kingdom. Demba Ba's co-authors include Emery N. Brown, Dinei Florêncio, Cha Zhang, Flávio Ribeiro, Behtash Babadi, Patrick L. Purdon, Seong‐Eun Kim, Andrew H. Song, Simona Temereanca and Helen S. Mayberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Demba Ba

36 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Demba Ba United States	13	228	174	116	101	77	38	573
Clive Cheong Took United Kingdom	11	408 1.8×	274 1.6×	87 0.8×	81 0.8×	106 1.4×	37	697
Tohid Yousefi Rezaii Iran	16	405 1.8×	152 0.9×	86 0.7×	68 0.7×	117 1.5×	57	762
Adam S. Charles United States	12	168 0.7×	80 0.5×	165 1.4×	60 0.6×	75 1.0×	38	638
Juan Guerrero Spain	19	256 1.1×	129 0.7×	51 0.4×	181 1.8×	120 1.6×	63	905
Saeid Sanei United Kingdom	12	256 1.1×	202 1.2×	76 0.7×	43 0.4×	47 0.6×	28	515
Jianting Cao Japan	21	491 2.2×	227 1.3×	179 1.5×	76 0.8×	113 1.5×	118	1.1k
Romis Attux Brazil	16	288 1.3×	232 1.3×	50 0.4×	273 2.7×	274 3.6×	104	895
Tomasz M. Rutkowski Japan	18	639 2.8×	358 2.1×	73 0.6×	78 0.8×	68 0.9×	88	955
António R. C. Paiva United States	13	187 0.8×	78 0.4×	39 0.3×	99 1.0×	111 1.4×	37	562
Ghasem Azemi Australia	15	354 1.6×	242 1.4×	34 0.3×	105 1.0×	50 0.6×	54	749

Countries citing papers authored by Demba Ba

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Demba Ba

This figure shows the co-authorship network connecting the top 25 collaborators of Demba Ba. A scholar is included among the top collaborators of Demba Ba 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 Demba Ba. Demba Ba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Matias, Sara, Hao Wu, Simona Temereanca, et al.. (2025). Interpretable deep learning for deconvolutional analysis of neural signals. Neuron. 113(8). 1151–1168.e13. 2 indexed citations

Murphy, James M., et al.. (2023). K-Deep Simplex: Manifold Learning via Local Dictionaries. IEEE Transactions on Signal Processing. 71. 3741–3754. 2 indexed citations

Ba, Demba, et al.. (2023). SHAPER: can you hear the shape of a jet?. Journal of High Energy Physics. 2023(6). 9 indexed citations

Lin, Alexander, Andrew H. Song, & Demba Ba. (2022). Mixture Model Auto-Encoders: Deep Clustering Through Dictionary Learning. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 39. 3368–3372. 4 indexed citations

Ba, Demba, et al.. (2020). An ensemble mixed effects model of sleep loss and performance. Journal of Theoretical Biology. 509. 110497–110497. 12 indexed citations

Song, Andrew H., et al.. (2019). Multitaper Infinite Hidden Markov Model for EEG. PubMed. 2019. 5803–5807. 2 indexed citations

Ba, Demba, et al.. (2019). Convolutional Dictionary Learning in Hierarchical Networks. 59. 131–135. 1 indexed citations

Vu, Mai-Anh, Tülay Adalı, Demba Ba, et al.. (2018). A Shared Vision for Machine Learning in Neuroscience. Journal of Neuroscience. 38(7). 1601–1607. 105 indexed citations

Kim, Seong‐Eun, Demba Ba, & Emery N. Brown. (2018). A Multitaper Frequency-Domain Bootstrap Method. IEEE Signal Processing Letters. 25(12). 1805–1809. 6 indexed citations

10.

Gray, Daniel T., et al.. (2018). A separable two-dimensional random field model of binary response data from multi-day behavioral experiments. Journal of Neuroscience Methods. 307. 175–187. 2 indexed citations

11.

Ba, Demba. (2018). Deeply-Sparse Signal rePresentations (DS 2 P).. 3 indexed citations

12.

Schamberg, Gabriel, et al.. (2016). Efficient low-rank spectrotemporal decomposition using ADMM. 6. 1–5. 2 indexed citations

13.

Ba, Demba, Simona Temereanca, & Emery N. Brown. (2014). Algorithms for the analysis of ensemble neural spiking activity using simultaneous-event multivariate point-process models. Frontiers in Computational Neuroscience. 8. 6–6. 18 indexed citations

14.

Ba, Demba, Behtash Babadi, Patrick L. Purdon, & Emery N. Brown. (2014). Robust spectrotemporal decomposition by iteratively reweighted least squares. Proceedings of the National Academy of Sciences. 111(50). E5336–45. 23 indexed citations

15.

Ba, Demba, Behtash Babadi, Patrick L. Purdon, & Emery N. Brown. (2013). Convergence and Stability of Iteratively Re-weighted Least Squares Algorithms. IEEE Transactions on Signal Processing. 62(1). 183–195. 59 indexed citations

16.

Citi, Luca, Demba Ba, Emery N. Brown, & Riccardo Barbieri. (2013). Likelihood Methods for Point Processes with Refractoriness. Neural Computation. 26(2). 237–263. 26 indexed citations

17.

Ba, Demba, Behtash Babadi, Patrick L. Purdon, & Emery N. Brown. (2012). Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization. Neural Information Processing Systems. 25. 2627–2635. 5 indexed citations

18.

Ba, Demba, Flávio Ribeiro, Cha Zhang, & Dinei Florêncio. (2010). L1 regularized room modeling with compact microphone arrays. 157–160. 31 indexed citations

19.

Ribeiro, Flávio, Demba Ba, Cha Zhang, & Dinei Florêncio. (2010). Turning enemies into friends: Using reflections to improve sound source localization. 731–736. 36 indexed citations

20.

Chen, Zhe, David Putrino, Demba Ba, et al.. (2009). A regularized point process generalized linear model for assessing the functional connectivity in the cat motor cortex. PubMed. 2009. 5006–5009. 6 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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