42 citations as recorded by crossref.

1. Pre-processing and transfer entropy measures in motor neurons controlling limb movements F. Santos et al. 10.1007/s10827-017-0656-6
2. Evidence of nonlinearity in presence of external forcing and magnetic field in a glow discharge plasma D. Saha et al. 10.1016/j.chaos.2017.03.005
3. Probabilistic Downscaling of Remote Sensing Data with Applications for Multi-Scale Biogeochemical Flux Modeling P. Stoy et al. 10.1371/journal.pone.0128935
4. Stochastic radiative transfer in Markovian mixtures: Past, present, and future E. Kassianov & D. Veron 10.1016/j.jqsrt.2010.06.011
5. Benchmarking homogenization algorithms for monthly data V. Venema et al. 10.5194/cp-8-89-2012
6. Ice hydrometeor profile retrieval algorithm for high-frequency microwave radiometers: application to the CoSSIR instrument during TC4 K. Evans et al. 10.5194/amt-5-2277-2012
7. A resampling method for generating synthetic hydrological time series with preservation of cross‐correlative structure and higher‐order properties C. Keylock 10.1029/2012WR011923
8. Understanding Persistence to Avoid Underestimation of Collective Flood Risk F. Serinaldi & C. Kilsby 10.3390/w8040152
9. Sailing synthetic seas: Stochastic simulation of benchmark sea state time series F. Serinaldi et al. 10.1016/j.coastaleng.2022.104164
10. On the role of patterns in understanding the functioning of soil-vegetation-atmosphere systems H. Vereecken et al. 10.1016/j.jhydrol.2016.08.053
11. Detecting impacts of extreme events with ecological in situ monitoring networks M. Mahecha et al. 10.5194/bg-14-4255-2017
12. Collocating satellite-based radar and radiometer measurements – methodology and usage examples G. Holl et al. 10.5194/amt-3-693-2010
13. Using missing dispersion patterns to detect determinism and nonlinearity in time series data Q. Zhou et al. 10.1007/s11071-022-07835-3
14. Parallelism Strategies for Big Data Delayed Transfer Entropy Evaluation J. Dourado et al. 10.3390/a12090190
15. Using missing ordinal patterns to detect nonlinearity in time series data C. Kulp et al. 10.1103/PhysRevE.96.022218
16. Chaotic and stochastic processes in the accretion flows of the black hole X-ray binaries revealed by recurrence analysis P. Suková et al. 10.1051/0004-6361/201526692
17. Non-Gaussian Bayesian retrieval of tropical upper tropospheric cloud ice and water vapour from Odin-SMR measurements B. Rydberg et al. 10.5194/amt-2-621-2009
18. What we talk about when we talk about seasonality – A transdisciplinary review O. Kwiecien et al. 10.1016/j.earscirev.2021.103843
19. Jensen–Shannon Divergence Based on Horizontal Visibility Graph for Complex Time Series Y. Yin et al. 10.1142/S0219477521500139
20. Response of lacustrine glacier dynamics to atmospheric forcing in the Cordillera Darwin L. Langhamer et al. 10.1017/jog.2024.14
21. Quantifying interdependence using the missing joint ordinal patterns Y. Yin et al. 10.1063/1.5084034
22. Long-Term Stochastic Modeling of Monthly Streamflow in River Nile S. Abdelaziz et al. 10.3390/su15032170
23. On cloud ice induced absorption and polarisation effects in microwave limb sounding P. Eriksson et al. 10.5194/amt-4-1305-2011
24. Overview and sample applications of SMILES and Odin-SMR retrievals of upper tropospheric humidity and cloud ice mass P. Eriksson et al. 10.5194/acp-14-12613-2014
25. Delayed mutual information infers patterns of synaptic connectivity in a proprioceptive neural network W. Endo et al. 10.1007/s10827-015-0548-6
26. Cerebello-Thalamo-Cortical Network Dynamics in the Harmaline Rodent Model of Essential Tremor K. Woodward et al. 10.3389/fnsys.2022.899446
27. Inter‐comparison of methods to homogenize daily relative humidity B. Chimani et al. 10.1002/joc.5488
28. Use of transform pairs to represent and simulate nonstationary non-Gaussian process with applications H. Hong & X. Cui 10.1016/j.strusafe.2022.102267
29. Nonparametric testing of variability and trend in some climatic records J. Halley & D. Kugiumtzis 10.1007/s10584-011-0053-5
30. Evaluating the agreement between measurements and models of net ecosystem exchange at different times and timescales using wavelet coherence: an example using data from the North American Carbon Program Site-Level Interim Synthesis P. Stoy et al. 10.5194/bg-10-6893-2013
31. Stationarity test of vibration signals with surrogate data and time–frequency analysis Z. Wang et al. 10.1177/1369433216677602
32. A Framework for Patient State Tracking by Classifying Multiscalar Physiologic Waveform Features B. Vandendriessche et al. 10.1109/TBME.2017.2684244
33. Hypothesis Testing for Nonlinear Phenomena in the Geosciences Using Synthetic, Surrogate Data C. Keylock 10.1029/2018EA000435
34. Investigation and quantification of nonlinearity using surrogate data in a glow discharge plasma D. Saha et al. 10.1063/1.4907796
35. Detecting dynamic spatial correlation patterns with generalized wavelet coherence and non-stationary surrogate data M. Chavez & B. Cazelles 10.1038/s41598-019-43571-2
36. Can Deep Learning distinguish chaos from noise? Numerical experiments and general considerations M. Zanin 10.1016/j.cnsns.2022.106708
37. A new algorithm for the downscaling of cloud fields V. Venema et al. 10.1002/qj.535
38. A Comparison of Methods Reveals that Enhanced Diffusion Helps Explain Cold-Season Soil CO2 Efflux in a Lodgepole Pine Ecosystem F. Rains et al. 10.1016/j.coldregions.2015.10.003
39. Untenable nonstationarity: An assessment of the fitness for purpose of trend tests in hydrology F. Serinaldi et al. 10.1016/j.advwatres.2017.10.015
40. Three Dimensional Radiative Effects in Passive Millimeter/Sub-Millimeter All-sky Observations V. Barlakas & P. Eriksson 10.3390/rs12030531
41. Irreversibility and complex network behavior of stream flow fluctuations F. Serinaldi & C. Kilsby 10.1016/j.physa.2016.01.043
42. Revisiting multifractality of TCP traffic using multifractal detrended fluctuation analysis Y. Xu & H. Feng 10.1088/1742-5468/2014/02/P02007