Behtash Babadi

2.7k total citations
82 papers, 1.6k citations indexed

About

Behtash Babadi is a scholar working on Cognitive Neuroscience, Computational Mechanics and Signal Processing. According to data from OpenAlex, Behtash Babadi has authored 82 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 29 papers in Computational Mechanics and 26 papers in Signal Processing. Recurrent topics in Behtash Babadi's work include Neural dynamics and brain function (33 papers), Sparse and Compressive Sensing Techniques (26 papers) and Blind Source Separation Techniques (22 papers). Behtash Babadi is often cited by papers focused on Neural dynamics and brain function (33 papers), Sparse and Compressive Sensing Techniques (26 papers) and Blind Source Separation Techniques (22 papers). Behtash Babadi collaborates with scholars based in United States, Greece and Italy. Behtash Babadi's co-authors include Vahid Tarokh, Emery N. Brown, N. Kalouptsidis, Patrick L. Purdon, Alireza Sheikhattar, Jonathan Z. Simon, Patrick O. Kanold, Sahar Akram, Shihab Shamma and Ji Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Behtash Babadi

78 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Behtash Babadi United States 21 888 478 386 226 226 82 1.6k
Zhu Liang Yu China 27 529 0.6× 789 1.7× 396 1.0× 489 2.2× 196 0.9× 115 2.1k
José Antonio Urigüen Spain 5 594 0.7× 499 1.0× 699 1.8× 323 1.4× 92 0.4× 9 1.8k
Laurent Albera France 24 716 0.8× 1.0k 2.2× 200 0.5× 155 0.7× 100 0.4× 74 1.8k
Kay A. Robbins United States 26 1.6k 1.8× 226 0.5× 301 0.8× 126 0.6× 363 1.6× 96 2.8k
Jianting Cao Japan 21 491 0.6× 227 0.5× 179 0.5× 76 0.3× 89 0.4× 118 1.1k
Simon G. Fabri Malta 14 993 1.1× 243 0.5× 93 0.2× 124 0.5× 144 0.6× 78 1.9k
Régine Le Bouquin Jeannès France 18 556 0.6× 440 0.9× 300 0.8× 52 0.2× 98 0.4× 109 1.4k
Piotr Durka Poland 27 1.5k 1.7× 611 1.3× 120 0.3× 125 0.6× 351 1.6× 67 2.0k
Andreas Ziehe Germany 20 830 0.9× 1.0k 2.1× 312 0.8× 50 0.2× 89 0.4× 30 1.9k
Toshihisa Tanaka Japan 28 1.8k 2.0× 958 2.0× 189 0.5× 379 1.7× 590 2.6× 243 3.0k

Countries citing papers authored by Behtash Babadi

Since Specialization
Citations

This map shows the geographic impact of Behtash Babadi'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 Behtash Babadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behtash Babadi more than expected).

Fields of papers citing papers by Behtash Babadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Behtash Babadi. 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 Behtash Babadi. The network helps show where Behtash Babadi may publish in the future.

Co-authorship network of co-authors of Behtash Babadi

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

All Works

20 of 20 papers shown
1.
Parra, Lucas C., et al.. (2025). VARX Granger analysis: Models for neuroscience, physiology, sociology and econometrics. PLoS ONE. 20(1). e0313875–e0313875. 3 indexed citations
2.
Babadi, Behtash, et al.. (2025). Patchy harmonic functional connectivity of the mouse auditory cortex. Proceedings of the National Academy of Sciences. 122(27). e2510012122–e2510012122.
3.
Babadi, Behtash, et al.. (2024). Adaptive modeling and inference of higher-order coordination in neuronal assemblies: A dynamic greedy estimation approach. PLoS Computational Biology. 20(5). e1011605–e1011605.
4.
Scott, Alison, Richard J. Traub, Robert K. Ernst, et al.. (2024). Interpretable dimensionality reduction and classification of mass spectrometry imaging data in a visceral pain model via non-negative matrix factorization. PLoS ONE. 19(10). e0300526–e0300526. 4 indexed citations
5.
Das, Proloy & Behtash Babadi. (2023). Non-Asymptotic Guarantees for Reliable Identification of Granger Causality via the LASSO. IEEE Transactions on Information Theory. 69(11). 7439–7460. 4 indexed citations
6.
Francis, Nikolas A., et al.. (2022). Sequential transmission of task-relevant information in cortical neuronal networks. Cell Reports. 39(9). 110878–110878. 20 indexed citations
7.
Das, Proloy, et al.. (2022). NLGC: Network localized Granger causality with application to MEG directional functional connectivity analysis. NeuroImage. 260. 119496–119496. 11 indexed citations
8.
9.
Babadi, Behtash, et al.. (2021). Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit. Neural Information Processing Systems. 34. 1 indexed citations
10.
Presacco, Alessandro, et al.. (2020). Dynamic estimation of auditory temporal response functions via state-space models with Gaussian mixture process noise. PLoS Computational Biology. 16(8). e1008172–e1008172. 6 indexed citations
11.
Babadi, Behtash, et al.. (2020). Multitaper Analysis of Semi-Stationary Spectra From Multivariate Neuronal Spiking Observations. IEEE Transactions on Signal Processing. 68. 4382–4396. 2 indexed citations
12.
Sheikhattar, Alireza, Ji Liu, Jonathan B. Fritz, et al.. (2018). Extracting neuronal functional network dynamics via adaptive Granger causality analysis. Proceedings of the National Academy of Sciences. 115(17). E3869–E3878. 58 indexed citations
13.
Krishnaswamy, Pavitra, Jyrki Ahveninen, Sheraz Khan, et al.. (2017). Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG. Proceedings of the National Academy of Sciences. 114(48). E10465–E10474. 103 indexed citations
14.
Das, Proloy & Behtash Babadi. (2017). Dynamic Bayesian Multitaper Spectral Analysis. IEEE Transactions on Signal Processing. 66(6). 1394–1409. 3 indexed citations
15.
Pirondini, Elvira, et al.. (2017). Computationally Efficient Algorithms for Sparse, Dynamic Solutions to the EEG Source Localization Problem. IEEE Transactions on Biomedical Engineering. 65(6). 1359–1372. 34 indexed citations
16.
Kazemipour, Abbas, Ji Liu, Daniel A. Nagode, et al.. (2017). Fast and Stable Signal Deconvolution via Compressible State-Space Models. IEEE Transactions on Biomedical Engineering. 65(1). 74–86. 8 indexed citations
17.
Chandramouli, Gadisetti V.R., Taehoon Shin, Nallathamby Devasahayam, et al.. (2016). Accelerated electron paramagnetic resonance imaging using partial Fourier compressed sensing reconstruction. Magnetic Resonance Imaging. 37. 90–99. 2 indexed citations
18.
Akram, Sahar, Jonathan Z. Simon, Shihab Shamma, & Behtash Babadi. (2014). A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment. Neural Information Processing Systems. 27. 460–468. 5 indexed citations
19.
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
20.
Babadi, Behtash, Scott Mayer McKinney, Vahid Tarokh, & J. M. Ellenbogen. (2011). DiBa: A Data-Driven Bayesian Algorithm for Sleep Spindle Detection. IEEE Transactions on Biomedical Engineering. 59(2). 483–493. 29 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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