| Analysis of Time Series Structure: SSA and related techniques N Golyandina, V Nekrutkin, A Zhigljavsky CRC Press, 2001 | 2237 | 2001 |
| Singular spectrum analysis with R N Golyandina, A Korobeynikov, A Zhigljavsky Springer Berlin Heidelberg, 2018 | 1073 | 2018 |
| Метод "Гусеница"-SSA: анализ временных рядов НЭ Голяндина ВВМ, 2004 | 573* | 2004 |
| Basic Singular Spectrum Analysis and Forecasting with R N Golyandina, A Korobeynikov Computational Statistics and Data Analysis 71, 934–954, 2014 | 330 | 2014 |
| On the choice of parameters in Singular Spectrum Analysis and related subspace-based methods N Golyandina Statistics and Its Interface 3 (3), 259-279, 2010 | 211 | 2010 |
| The “Caterpillar”-SSA method for analysis of time series with missing values N Golyandina, E Osipov Journal of statistical planning and inference 137 (8), 2642-2653, 2007 | 198 | 2007 |
| Multivariate and 2D extensions of singular spectrum analysis with the Rssa package N Golyandina, A Korobeynikov, A Shlemov, K Usevich Journal of statisical software 67 (2), 1-78, 2015 | 168 | 2015 |
| SSA-based approaches to analysis and forecast of multidimensional time series N Golyandina, D Stepanov proceedings of the 5th St. Petersburg workshop on simulation 2, 293-298, 2005 | 120 | 2005 |
| Метод «Гусеница»-88А: прогноз временных рядов. Учеб. пособие НЭ Голяндина | 97* | 2004 |
| Automatic extraction and forecast of time series cyclic components within the framework of SSA T Alexandrov, N Golyandina Proceedings of the 5th St. Petersburg Workshop on Simulation, 45-50, 2005 | 96 | 2005 |
| 2D-extension of Singular Spectrum Analysis: algorithm and elements of theory N Golyandina, K Usevich Matrix Methods: Theory, Algorithms, Applications World Scientific, 449-473, 2010 | 91 | 2010 |
| Variations of singular spectrum analysis for separability improvement: non-orthogonal decompositions of time series N Golyandina, A Shlemov Statistics and Its Interface 8 (3), 277-294, 2015 | 83 | 2015 |
| Particularities and commonalities of singular spectrum analysis as a method of time series analysis and signal processing N Golyandina Wiley Interdisciplinary Reviews: Computational Statistics 12 (4), e1487, 2020 | 81 | 2020 |
| Gene Expression Noise in Spatial Patterning: hunchback Promoter Structure Affects Noise Amplitude and Distribution in Drosophila Segmentation DM Holloway, FJP Lopes, L da Fontoura Costa, BAN Travençolo, ... PLoS computational biology 7 (2), e1001069, 2011 | 81 | 2011 |
| Автоматизация выделения трендовых и периодических составляющих временного ряда в рамках метода “Гусеница”–SSA ФИ Александров, НЭ Голяндина Exponenta Pro. Математика в приложениях, 54-61, 2004 | 76* | 2004 |
| Singular Spectrum Analysis for Time Series, 2nd Edition. N Golyandina, A Zhigljavsky Springer-Verlag Berlin Heidelberg, 2020 | 74* | 2020 |
| Filtering of digital terrain models by 2D singular spectrum analysis N Golyandina, I Florinsky, K Usevich International Journal of Ecology & Development 8 (F07), 81-94, 2007 | 58 | 2007 |
| Варианты метода” Гусеница”-SSA для анализа многомерных временных рядов Н Голяндина, В Некруткин, Д Степанов Труды II Международной конференции” Идентификация систем и задачи управления …, 2003 | 51* | 2003 |
| Singular spectrum analysis of gene expression profiles of early Drosophila embryo: exponential-in-distance patterns T Alexandrov, N Golyandina, A Spirov Research letters in signal processing 2008, 12, 2008 | 46 | 2008 |
| Rssa: a collection of methods for singular spectrum analysis A Korobeynikov, A Shlemov, K Usevich, N Golyandina R package version 0.13-1, URL http://CRAN. R-project. org/package= Rssa, 2015 | 38* | 2015 |
Anatoly ZhigljavskyCardiff UniversityDirección de correo verificada de cardiff.ac.uk
