55 citations as recorded by crossref.

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4. Ice hydrometeor profile retrieval algorithm for high-frequency microwave radiometers: application to the CoSSIR instrument during TC4 K. Evans et al. https://doi.org/10.5194/amt-5-2277-2012
5. Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105 A. Guria & B. Mukhopadhyay https://doi.org/10.3847/1538-4357/ada296
6. Understanding Persistence to Avoid Underestimation of Collective Flood Risk F. Serinaldi & C. Kilsby https://doi.org/10.3390/w8040152
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8. The Coordination-Rapport Link, Revisited: A Study with Automated Coding Techniques K. Fujiwara et al. https://doi.org/10.1007/s10919-025-00499-8
9. Collocating satellite-based radar and radiometer measurements – methodology and usage examples G. Holl et al. https://doi.org/10.5194/amt-3-693-2010
10. Using missing dispersion patterns to detect determinism and nonlinearity in time series data Q. Zhou et al. https://doi.org/10.1007/s11071-022-07835-3
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13. Chaotic and stochastic processes in the accretion flows of the black hole X-ray binaries revealed by recurrence analysis P. Suková et al. https://doi.org/10.1051/0004-6361/201526692
14. Non-Gaussian Bayesian retrieval of tropical upper tropospheric cloud ice and water vapour from Odin-SMR measurements B. Rydberg et al. https://doi.org/10.5194/amt-2-621-2009
15. What we talk about when we talk about seasonality – A transdisciplinary review O. Kwiecien et al. https://doi.org/10.1016/j.earscirev.2021.103843
16. Response of lacustrine glacier dynamics to atmospheric forcing in the Cordillera Darwin L. Langhamer et al. https://doi.org/10.1017/jog.2024.14
17. Long-Term Stochastic Modeling of Monthly Streamflow in River Nile S. Abdelaziz et al. https://doi.org/10.3390/su15032170
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19. Overview and sample applications of SMILES and Odin-SMR retrievals of upper tropospheric humidity and cloud ice mass P. Eriksson et al. https://doi.org/10.5194/acp-14-12613-2014
20. Cerebello-Thalamo-Cortical Network Dynamics in the Harmaline Rodent Model of Essential Tremor K. Woodward et al. https://doi.org/10.3389/fnsys.2022.899446
21. Impact of the COVID-19 pandemic on the intermittent behavior of the global spot markets of staple food crops X. Gao et al. https://doi.org/10.1016/j.jmse.2024.05.002
22. Similar destabilization of neural dynamics under different general anesthetics A. Eisen et al. https://doi.org/10.1016/j.celrep.2026.117048
23. Use of transform pairs to represent and simulate nonstationary non-Gaussian process with applications H. Hong & X. Cui https://doi.org/10.1016/j.strusafe.2022.102267
24. Assessment of cerebrovascular interactions and control in coronary artery disease patients undergoing anaesthesia through bivariate predictability measures R. Saputo et al. https://doi.org/10.1007/s11517-025-03476-x
25. 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. https://doi.org/10.5194/bg-10-6893-2013
26. A Framework for Patient State Tracking by Classifying Multiscalar Physiologic Waveform Features B. Vandendriessche et al. https://doi.org/10.1109/TBME.2017.2684244
27. Investigation and quantification of nonlinearity using surrogate data in a glow discharge plasma D. Saha et al. https://doi.org/10.1063/1.4907796
28. Detecting dynamic spatial correlation patterns with generalized wavelet coherence and non-stationary surrogate data M. Chavez & B. Cazelles https://doi.org/10.1038/s41598-019-43571-2
29. Can Deep Learning distinguish chaos from noise? Numerical experiments and general considerations M. Zanin https://doi.org/10.1016/j.cnsns.2022.106708
30. Multifractality and the economic value of equity risk premium forecasts L. Maciel https://doi.org/10.1080/13504851.2025.2498060
31. Nonlinear Dynamics of Systematic Risk in Cryptocurrency Market: A Multifractal Analysis T. Acikgoz https://doi.org/10.1142/S0219477525500567
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35. Pre-processing and transfer entropy measures in motor neurons controlling limb movements F. Santos et al. https://doi.org/10.1007/s10827-017-0656-6
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41. Detecting impacts of extreme events with ecological in situ monitoring networks M. Mahecha et al. https://doi.org/10.5194/bg-14-4255-2017
42. Jensen–Shannon Divergence Based on Horizontal Visibility Graph for Complex Time Series Y. Yin et al. https://doi.org/10.1142/S0219477521500139
43. Fluctuation Analysis of Volatility in South African Stock Market Indices M. Mpanda & L. Gorjão https://doi.org/10.1007/s10614-025-11027-7
44. Quantifying interdependence using the missing joint ordinal patterns Y. Yin et al. https://doi.org/10.1063/1.5084034
45. Machine-enhanced reconstruction of functional connectomes unravels discriminative brain sub-systems in health and disease M. Grassia et al. https://doi.org/10.1038/s41598-026-47391-z
46. Delayed mutual information infers patterns of synaptic connectivity in a proprioceptive neural network W. Endo et al. https://doi.org/10.1007/s10827-015-0548-6
47. Inter‐comparison of methods to homogenize daily relative humidity B. Chimani et al. https://doi.org/10.1002/joc.5488
48. Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective Y. Wu et al. https://doi.org/10.1016/j.watres.2024.121999
49. Nonparametric testing of variability and trend in some climatic records J. Halley & D. Kugiumtzis https://doi.org/10.1007/s10584-011-0053-5
50. Stationarity test of vibration signals with surrogate data and time–frequency analysis Z. Wang et al. https://doi.org/10.1177/1369433216677602
51. Hypothesis Testing for Nonlinear Phenomena in the Geosciences Using Synthetic, Surrogate Data C. Keylock https://doi.org/10.1029/2018EA000435
52. A new algorithm for the downscaling of cloud fields V. Venema et al. https://doi.org/10.1002/qj.535
53. A Comparison of Methods Reveals that Enhanced Diffusion Helps Explain Cold-Season Soil CO2 Efflux in a Lodgepole Pine Ecosystem F. Rains et al. https://doi.org/10.1016/j.coldregions.2015.10.003
54. Wear mechanism identification of power slip rings using threshold-optimized recurrence plots and a multiscale attention residual network H. Zhao et al. https://doi.org/10.1016/j.triboint.2026.112153
55. Revisiting multifractality of TCP traffic using multifractal detrended fluctuation analysis Y. Xu & H. Feng https://doi.org/10.1088/1742-5468/2014/02/P02007