| Coherence-based performance guarantees for estimating a sparse vector under random noise Z Ben-Haim, YC Eldar, M Elad IEEE Transactions on Signal Processing 58 (10), 5030-5043, 2010 | 284 | 2010 |
| The Cramér-Rao bound for estimating a sparse parameter vector Z Ben-Haim, YC Eldar IEEE Transactions on Signal Processing 58 (6), 3384-3389, 2010 | 171 | 2010 |
| Flood forecasting with machine learning models in an operational framework S Nevo, E Morin, A Gerzi Rosenthal, A Metzger, C Barshai, D Weitzner, ... Hydrology and Earth System Sciences 26 (15), 4013-4032, 2022 | 133 | 2022 |
| On the constrained Cramér–Rao bound with a singular Fisher information matrix Z Ben-Haim, YC Eldar IEEE Signal Processing Letters 16 (6), 453-456, 2009 | 91 | 2009 |
| Activation of selected trunk muscles during symmetric functional activities in poststroke hemiparetic and hemiplegic patients R Dickstein, Y Heffes, Y Laufer, Z Ben-Haim Journal of Neurology, Neurosurgery & Psychiatry 66 (2), 218-221, 1999 | 91 | 1999 |
| Activation of flexor and extensor trunk muscles in hemiparesis R Dickstein, S Sheffi, ZB Haim, E Shabtai, E Markovici American journal of physical medicine & rehabilitation 79 (3), 228-234, 2000 | 78 | 2000 |
| Near-oracle performance of greedy block-sparse estimation techniques from noisy measurements Z Ben-Haim, YC Eldar IEEE Journal of Selected Topics in Signal Processing 5 (5), 1032-1047, 2011 | 69 | 2011 |
| Performance bounds and design criteria for estimating finite rate of innovation signals Z Ben-Haim, T Michaeli, YC Eldar IEEE Transactions on Information Theory 58 (8), 4993-5015, 2012 | 53 | 2012 |
| A lower bound on the Bayesian MSE based on the optimal bias function Z Ben-Haim, YC Eldar IEEE Transactions on Information Theory 55 (11), 5179-5196, 2009 | 53 | 2009 |
| Blind minimax estimation Z Ben-Haim, YC Eldar IEEE Transactions on Information Theory 53 (9), 3145-3157, 2007 | 48 | 2007 |
| Sampling at the rate of innovation: theory and applications. JA Urigüen, YC Eldar, PL Dragotti, Z Ben-Haim Compressed sensing, 148-209, 2012 | 38 | 2012 |
| Maximum set estimators with bounded estimation error Z Ben-Haim, YC Eldar IEEE Transactions on Signal Processing 53 (8), 3172-3182, 2005 | 26 | 2005 |
| Unbiased estimation of a sparse vector in white Gaussian noise A Jung, Z Ben-Haim, F Hlawatsch, YC Eldar IEEE transactions on information theory 57 (12), 7856-7876, 2011 | 25 | 2011 |
| Minimax estimators dominating the least-squares estimator Z Ben-Haim, YC Eldar Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 15 | 2005 |
| Near-oracle performance of basis pursuit under random noise Z Ben-Haim, YC Eldar, M Elad submitted.[Online]. Available, 2009 | 14 | 2009 |
| Inundation modeling in data scarce regions Z Ben-Haim, V Anisimov, A Yonas, V Gulshan, Y Shafi, S Hoyer, S Nevo arXiv preprint arXiv:1910.05006, 2019 | 13 | 2019 |
| The Cramér-Rao bound for sparse estimation Z Ben-Haim, YC Eldar arXiv preprint arXiv:0905.4378, 2009 | 12 | 2009 |
| Performance bounds for sparse estimation with random noise Z Ben-Haim, YC Eldar 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, 225-228, 2009 | 11 | 2009 |
| Blind minimax estimators: Improving on least-squares estimation Z Ben-Haim, YC Eldar IEEE/SP 13th Workshop on Statistical Signal Processing, 2005, 545-550, 2005 | 11 | 2005 |
| Physics-aware downsampling with deep learning for scalable flood modeling N Giladi, Z Ben-Haim, S Nevo, Y Matias, D Soudry Advances in Neural Information Processing Systems 34, 1378-1389, 2021 | 10 | 2021 |
