144 citations as recorded by crossref.

1. Pattern Variability in Arctic Air Temperature Records C. Suteanu https://doi.org/10.1007/s10712-014-9293-z
2. Memory Behaviors of Air Pollutions and Their Spatial Patterns in China P. Yu et al. https://doi.org/10.3389/fphy.2022.875357
3. Persistence and Time Trends in the Temperatures in Spain L. Gil-Alana https://doi.org/10.1155/2009/415290
4. Assessment of long-range correlation in animal behavior time series: The temporal pattern of locomotor activity of Japanese quail (Coturnix coturnix) and mosquito larva (Culex quinquefasciatus) J. Kembro et al. https://doi.org/10.1016/j.physa.2013.08.017
5. Multiple serial correlations in global air temperature anomaly time series M. Gao et al. https://doi.org/10.1371/journal.pone.0306694
6. Statistical significance of PM2.5 and O3 trends in China under long-term memory effects P. Yu et al. https://doi.org/10.1016/j.scitotenv.2023.164598
7. Fractal Fluctuations in Human Walking: Comparison Between Auditory and Visually Guided Stepping P. Terrier https://doi.org/10.1007/s10439-016-1573-y
8. Time reversal symmetry and the difference between relaxations and building-up periods P. Meyer & H. Kantz https://doi.org/10.1103/PhysRevE.104.024208
9. Long-range dependence in North Atlantic sea level S. Barbosa et al. https://doi.org/10.1016/j.physa.2006.03.046
10. Rethinking margin of stability: Incorporating step-to-step regulation to resolve the paradox M. Kazanski et al. https://doi.org/10.1016/j.jbiomech.2022.111334
11. The relationship between the detrendend fluctuation analysis and the autocorrelation function of a signal M. Höll & H. Kantz https://doi.org/10.1140/epjb/e2015-60721-1
12. Multifractal detrended moving average analysis of global temperature records P. Mali https://doi.org/10.1088/1742-5468/2016/01/013201
13. Observations reveal external driver for Arctic sea‐ice retreat D. Notz & J. Marotzke https://doi.org/10.1029/2012GL051094
14. Unsurprising Surprises: The Frequency of Record‐breaking and Overthreshold Hydrological Extremes Under Spatial and Temporal Dependence F. Serinaldi & C. Kilsby https://doi.org/10.1029/2018WR023055
15. Cardio-Diagnostic Assisting Computer System G. Georgieva-Tsaneva et al. https://doi.org/10.3390/diagnostics10050322
16. Re-interpreting detrended fluctuation analyses of stride-to-stride variability in human walking J. Dingwell & J. Cusumano https://doi.org/10.1016/j.gaitpost.2010.06.004
17. Fractal fluctuations in spatiotemporal variables when walking on a self-paced treadmill J. Choi et al. https://doi.org/10.1016/j.jbiomech.2017.10.015
18. Detrended fluctuation analysis for fractals and multifractals in higher dimensions G. Gu & W. Zhou https://doi.org/10.1103/PhysRevE.74.061104
19. On the wrong inference of long-range correlations in climate data; the case of the solar and volcanic forcing over the Tropical Pacific C. Varotsos & M. Efstathiou https://doi.org/10.1007/s00704-016-1738-5
20. Theoretical foundation of detrending methods for fluctuation analysis such as detrended fluctuation analysis and detrending moving average M. Höll et al. https://doi.org/10.1103/PhysRevE.99.033305
21. Is it feasible to estimate radiosonde biases from interlaced measurements? S. Kremser et al. https://doi.org/10.5194/amt-11-3021-2018
22. Temporal correlations in center of body mass fluctuations during standing and walking M. Abe et al. https://doi.org/10.1016/j.humov.2010.03.002
23. Movement variability near goal equivalent manifolds: Fluctuations, control, and model-based analysis J. Cusumano & J. Dingwell https://doi.org/10.1016/j.humov.2013.07.019
24. Multiscale structure of time series revealed by the monotony spectrum C. Vamoş https://doi.org/10.1103/PhysRevE.95.033310
25. Robustness of estimators of long-range dependence and self-similarity under non-Gaussianity C. Franzke et al. https://doi.org/10.1098/rsta.2011.0349
26. Effect of treadmill walking on the stride interval dynamics of human gait M. Chang et al. https://doi.org/10.1016/j.gaitpost.2009.06.017
27. Effect of Data Length on Nonlinear Analysis of Human Motion During Locomotor Activities A. Mohammadzadeh Gonabadi & J. Burnfield https://doi.org/10.3390/app16083939
28. Multifractal characterization of global temperature anomalies P. Mali https://doi.org/10.1007/s00704-014-1268-y
29. Symmetric scaling properties in global surface air temperature anomalies C. Varotsos & M. Efstathiou https://doi.org/10.1007/s00704-014-1274-0
30. Accessing extremes of mid-latitudinal wave activity: methodology and application R. VITOLO et al. https://doi.org/10.1111/j.1600-0870.2008.00375.x
31. The effects of neuromuscular fatigue on task performance during repetitive goal-directed movements D. Gates & J. Dingwell https://doi.org/10.1007/s00221-008-1326-8
32. Towards a “gold-standard” approach to address the presence of long-range auto-correlation in physiological time series F. Crevecoeur et al. https://doi.org/10.1016/j.jneumeth.2010.07.017
33. Order 1 autoregressive process of finite length C. Vamoş et al. https://doi.org/10.33993/jnaat362-869
34. The global signature of the El Niño/La Niña Southern Oscillation C. Varotsos et al. https://doi.org/10.1080/01431161.2018.1465617
35. Long-range dependence and extreme values of precipitation, phosphorus load, and Cyanobacteria S. Carpenter et al. https://doi.org/10.1073/pnas.2214343119
36. Detrended multifractal characterization of Indian rainfall records A. Sarker & P. Mali https://doi.org/10.1016/j.chaos.2021.111297
37. Long-term memory and multifractality of downwelling longwave radiation flux at the Earth’s surface V. Stathopoulos & C. Matsoukas https://doi.org/10.1007/s00382-018-4473-z
38. A Methodology for the Time-scale-sensitive Evaluation of Wind Speed and Direction Variability C. Suteanu https://doi.org/10.1016/j.egypro.2015.07.898
39. Warming Break Trends and Fractional Integration in the Northern, Southern, and Global Temperature Anomaly Series L. Gil-Alana https://doi.org/10.1175/2007JTECHA1025.1
40. Is there any long-term memory effect in the tropical cyclones? C. Varotsos & M. Efstathiou https://doi.org/10.1007/s00704-013-0875-3
41. Evidence for two abrupt warming events of SST in the last century C. Varotsos et al. https://doi.org/10.1007/s00704-013-0935-8
42. Different Multifractal Scaling of the 0 cm Average Ground Surface Temperature of Four Representative Weather Stations over China L. Jiang et al. https://doi.org/10.1155/2013/341934
43. Reproducing Long‐Range Correlations in Global Mean Temperatures in Simple Energy Balance Models P. Meyer et al. https://doi.org/10.1002/2017JD028078
44. Climate scaling behaviour in the dynamics of the marine interstitial ciliate community C. Varotsos et al. https://doi.org/10.1007/s00704-015-1520-0
45. Temporal correlations in human locomotion: Recommendations for sampling rate and foot strike detection J. Liddy et al. https://doi.org/10.1016/j.physa.2019.121784
46. Correlation properties of spontaneous motor activity in healthy infants: a new computer-assisted method to evaluate neurological maturation S. Waldmeier et al. https://doi.org/10.1007/s00221-013-3504-6
47. Long memory of rivers from spatial aggregation M. Mudelsee https://doi.org/10.1029/2006WR005721
48. Aspects of Structure in Earthquake Networks M. Suteanu https://doi.org/10.1007/s00024-014-0939-z
49. Τhe observational and empirical thermospheric CO2 and NO power do not exhibit power-law behavior; an indication of their reliability C. Varotsos & M. Efstathiou https://doi.org/10.1016/j.jastp.2018.01.006
50. Empirical shape function of limit-order books in the Chinese stock market G. Gu et al. https://doi.org/10.1016/j.physa.2008.05.008
51. Study on statistical aspects of monthly sunspot number time series and its long-range correlation through detrended fluctuation analysis G. Chattopadhyay & S. Chattopadhyay https://doi.org/10.1007/s12648-014-0571-x
52. Multifractal analysis of measure representation of flood/drought grade series in the Yangtze Delta, China, during the past millennium and their fractal model simulation Q. Zhang et al. https://doi.org/10.1002/joc.1924
53. The Structure of Climate Variability Across Scales C. Franzke et al. https://doi.org/10.1029/2019RG000657
54. Temperature and precipitation in the US states: long memory, persistence, and time trend L. Gil-Alana et al. https://doi.org/10.1007/s00704-022-04232-z
55. Long memory, seasonality and time trends in the average monthly temperatures in Alaska L. Gil-Alana https://doi.org/10.1007/s00704-011-0539-0
56. Tempting long-memory in the historic surface ozone concentrations at Athens, Greece C. Varotsos et al. https://doi.org/10.1016/j.apr.2015.06.001
57. Long-range correlation in the drought and flood index from 1470 to 2000 in eastern China W. He et al. https://doi.org/10.1002/joc.4450
58. Natural Complexity N. Watkins & M. Freeman https://doi.org/10.1126/science.1151611
59. Side by Side Treadmill Walking With Intentionally Desynchronized Gait J. Nessler et al. https://doi.org/10.1007/s10439-012-0657-6
60. IDENTIFICATION OF LONG-TERM PATTERNS IN RAINFALL EROSIVITY UNDER A HUMID CONTINENTAL CLIMATE WITH HOT SUMMERS N. Kriuchkov et al. https://doi.org/10.71367/3034-4638-2025-2-3-19-32
61. Inferring characteristic timescales from the effect of autoregressive dynamics on detrended fluctuation analysis P. Meyer & H. Kantz https://doi.org/10.1088/1367-2630/ab0a8a
62. Deterministic versus stochastic trends: Detection and challenges S. Fatichi et al. https://doi.org/10.1029/2009JD011960
63. Do Humans Optimally Exploit Redundancy to Control Step Variability in Walking? J. Dingwell et al. https://doi.org/10.1371/journal.pcbi.1000856
64. On the association between the recent episode of the quasi-biennial oscillation and the strong El Niño event C. Varotsos et al. https://doi.org/10.1007/s00704-017-2191-9
65. On the frequency of heavy rainfall for the Midwest of the United States G. Villarini et al. https://doi.org/10.1016/j.jhydrol.2011.01.027
66. Analytical methods for wind persistence: Their application in assessing the best site for a wind farm in the State of Veracruz, Mexico Y. Cancino-Solórzano et al. https://doi.org/10.1016/j.renene.2010.05.008
67. Statistical issues about solar–climate relations P. Yiou et al. https://doi.org/10.5194/cp-6-565-2010
68. On the Long-Term Climate Memory in the Surface Air Temperature Records over Antarctica: A Nonnegligible Factor for Trend Evaluation N. Yuan et al. https://doi.org/10.1175/JCLI-D-14-00733.1
69. Complexity signatures for short time scales in the atmosphere above Adventdalen, Svalbard C. Hall https://doi.org/10.1002/2013JD020988
70. High resolution, week-long, locomotion time series from Japanese quail in a home-box environment D. Guzmán et al. https://doi.org/10.1038/sdata.2016.36
71. A New Set of Orthogonal Patterns in Weather and Climate: Optimally Interpolated Patterns A. Hannachi https://doi.org/10.1175/2008JCLI2328.1
72. Characterisation of linear predictability and non-stationarity of subcutaneous glucose profiles N. Khovanova et al. https://doi.org/10.1016/j.cmpb.2012.11.009
73. Serial correlation of detrended time series C. Vamoş & M. Crăciun https://doi.org/10.1103/PhysRevE.78.036707
74. Paleoecological and recent data show a steady temporal evolution of carbon dioxide and temperature C. Varotsos et al. https://doi.org/10.1016/j.apr.2019.12.022
75. Evaluation of the Methods for Nonlinear Analysis of Heart Rate Variability E. Gospodinova et al. https://doi.org/10.3390/fractalfract7050388
76. Linear and segmented trends in sea surface temperature data L. Gil-Alana https://doi.org/10.1080/02664763.2014.1001328
77. Multifractal analysis of meteorological time series to assess climate impacts P. Baranowski et al. https://doi.org/10.3354/cr01321
78. Characterizing variability and predictability for air pollutants with stochastic models P. Meyer et al. https://doi.org/10.1063/5.0041120
79. Contribution of Phase Resetting to Statistical Persistence in Stride Intervals: A Modeling Study K. Okamoto et al. https://doi.org/10.3389/fncir.2022.836121
80. A Dynamical Systems Explanation of the Hurst Effect and Atmospheric Low-Frequency Variability C. Franzke et al. https://doi.org/10.1038/srep09068
81. Identifying Stride-To-Stride Control Strategies in Human Treadmill Walking J. Dingwell et al. https://doi.org/10.1371/journal.pone.0124879
82. On the Impacts of the Global Sea Level Dynamics C. Varotsos et al. https://doi.org/10.3390/fractalfract8010039
83. Methods for Mathematical Analysis of Simulated and Real Fractal Processes with Application in Cardiology E. Gospodinova et al. https://doi.org/10.3390/math10193427
84. Impact of long‐range correlations on trend detection in total ozone D. Vyushin et al. https://doi.org/10.1029/2006JD008168
85. Multifractal fluctuations in joint angles during infant spontaneous kicking reveal multiplicativity-driven coordination D. Stephen et al. https://doi.org/10.1016/j.chaos.2012.06.005
86. Scaling behavior of the fluctuations in stream flow at the outlet of karstic watersheds, France D. Labat et al. https://doi.org/10.1016/j.jhydrol.2011.09.010
87. The Impact of Regime Shifts on Long‐Range Persistence and the Scaling of Sea Surface Temperature Off the Coast of California L. Breaker & D. Carroll https://doi.org/10.1029/2018JC014922
88. Statistical Variability and Persistence Change in Daily Air Temperature Time Series from High Latitude Arctic Stations C. Suteanu https://doi.org/10.1007/s00024-014-0878-8
89. Quantification of Long-Range Persistence in Geophysical Time Series: Conventional and Benchmark-Based Improvement Techniques A. Witt & B. Malamud https://doi.org/10.1007/s10712-012-9217-8
90. Global memory analysis in observed and simulated CAPE and CIN K. Riemann‐Campe et al. https://doi.org/10.1002/joc.2148
91. Temporal fractals in seabird foraging behaviour: diving through the scales of time A. MacIntosh et al. https://doi.org/10.1038/srep01884
92. Multifractal detrended fluctuation analysis of streamflow series of the Yangtze River basin, China Q. Zhang et al. https://doi.org/10.1002/hyp.7119
93. On the 1/f noise in the UV solar spectral irradiance C. Varotsos et al. https://doi.org/10.1007/s00704-013-0850-z
94. A simple decomposition of European temperature variability capturing the variance from days to a decade P. Meyer & H. Kantz https://doi.org/10.1007/s00382-019-04965-0
95. Persistence and long-term memories of daily maximum and minimum temperatures in southern South America G. Naumann et al. https://doi.org/10.1007/s00704-010-0395-3
96. The effect of long-range dependence on modelling extremes with the generalised extreme value distribution H. Rust https://doi.org/10.1140/epjst/e2009-01092-8
97. Plausible reasons for the inconsistencies between the modeled and observed temperatures in the tropical troposphere C. Varotsos et al. https://doi.org/10.1002/grl.50646
98. Has global warming already arrived? C. Varotsos & M. Efstathiou https://doi.org/10.1016/j.jastp.2018.10.020
99. The Hidden Order of Cosmic Rays: Fractal Scaling and Temporal Complexity C. Varotsos https://doi.org/10.3390/fractalfract9110748
100. Uncertainty, entropy, scaling and hydrological stochastics. 2. Time dependence of hydrological processes and time scaling / Incertitude, entropie, effet d'échelle et propriétés stochastiques hydrologiques. 2. Dépendance temporelle des processus hydrologiques et échelle temporelle D. Koutsoyiannis https://doi.org/10.1623/hysj.50.3.405.65028
101. Detection of co-regulation of local structure and magnitude of stride time variability using a new local detrended fluctuation analysis E. Ihlen & B. Vereijken https://doi.org/10.1016/j.gaitpost.2013.08.024
102. The fluctuation function of the detrended fluctuation analysis — investigation on the AR(1) process M. Höll & H. Kantz https://doi.org/10.1140/epjb/e2015-60143-1
103. Spatial and temporal variability in maximum, minimum and mean air temperatures at Madhya Pradesh in central India D. Duhan et al. https://doi.org/10.1016/j.crte.2012.10.016
104. Humans control stride-to-stride stepping movements differently for walking and running, independent of speed J. Dingwell et al. https://doi.org/10.1016/j.jbiomech.2018.05.034
105. Mutual information identifies spurious Hurst phenomena in resting state EEG and fMRI data F. von Wegner et al. https://doi.org/10.1103/PhysRevE.97.022415
106. Detrended fluctuation analysis of gait dynamics when entraining to music and metronomes at different tempi in persons with multiple sclerosis L. Moumdjian et al. https://doi.org/10.1038/s41598-020-69667-8
107. Discriminating low frequency components from long range persistent fluctuations in daily atmospheric temperature variability M. Lanfredi et al. https://doi.org/10.5194/acp-9-4537-2009
108. Long-memory processes in ozone and temperature variations at the region 60° S–60° N C. Varotsos & D. Kirk-Davidoff https://doi.org/10.5194/acp-6-4093-2006
109. Trends in auto-correlated temperature series F. Chen et al. https://doi.org/10.1007/s00704-021-03893-6
110. Time Series Modeling of Sunspot Numbers Using Long-Range Cyclical Dependence L. Gil-Alana https://doi.org/10.1007/s11207-009-9390-1
111. Error Correction and the Structure of Inter-Trial Fluctuations in a Redundant Movement Task J. John et al. https://doi.org/10.1371/journal.pcbi.1005118
112. On the scaling effect in global surface air temperature anomalies C. Varotsos et al. https://doi.org/10.5194/acp-13-5243-2013
113. Transfer of calibration between hand and foot: Functional equivalence and fractal fluctuations D. Stephen & A. Hajnal https://doi.org/10.3758/s13414-011-0142-6
114. Synaptic Plasticity Enables Adaptive Self-Tuning Critical Networks N. Stepp et al. https://doi.org/10.1371/journal.pcbi.1004043
115. How Gait Nonlinearities in Individuals Without Known Pathology Describe Metabolic Cost During Walking Using Artificial Neural Network and Multiple Linear Regression A. Mohammadzadeh Gonabadi et al. https://doi.org/10.3390/app142311026
116. Does human gait exhibit comparable and reproducible long-range autocorrelations on level ground and on treadmill? B. Bollens et al. https://doi.org/10.1016/j.gaitpost.2010.06.011
117. Analytical and empirical fluctuation functions of the EEG microstate random walk - Short-range vs. long-range correlations F. von Wegner et al. https://doi.org/10.1016/j.neuroimage.2016.07.050
118. Quantifying bid-ask spreads in the Chinese stock market using limit-order book data G. Gu et al. https://doi.org/10.1140/epjb/e2007-00158-7
119. Volatility of unevenly sampled fractional Brownian motion: An application to ice core records J. Davidsen & J. Griffin https://doi.org/10.1103/PhysRevE.81.016107
120. HiTSKT: A hierarchical transformer model for session-aware knowledge tracing F. Ke et al. https://doi.org/10.1016/j.knosys.2023.111300
121. Multifractal evidence of nonlinear interactions stabilizing posture for phasmids in windy conditions: A reanalysis of insect postural-sway data D. Kelty-Stephen & T. Stoffregen https://doi.org/10.1371/journal.pone.0202367
122. Statistical persistence of air pollutants (O3,SO2,NO2 and PM10) in Mexico City M. Meraz et al. https://doi.org/10.1016/j.physa.2015.02.009
123. On the temporal evolution of the tropical stratospheric ozone C. Varotsos et al. https://doi.org/10.1016/j.jastp.2017.03.010
124. Predictability and Non-Gaussian Characteristics of the North Atlantic Oscillation T. Önskog et al. https://doi.org/10.1175/JCLI-D-17-0101.1
125. Kinematic variability, fractal dynamics and local dynamic stability of treadmill walking P. Terrier & O. Dériaz https://doi.org/10.1186/1743-0003-8-12
126. A matrix approach to get the variance of the square of the fluctuation function of the DFA E. Grivel et al. https://doi.org/10.1016/j.dsp.2021.103346
127. Detrended fluctuation analysis of short datasets: An application to fetal cardiac data R. Govindan et al. https://doi.org/10.1016/j.physd.2006.10.019
128. Understanding dynamics of the system using Hilbert phases: An application to study neonatal and fetal brain signals R. Govindan et al. https://doi.org/10.1103/PhysRevE.80.046213
129. Assessing the Temporal Organization of Walking Variability: A Systematic Review and Consensus Guidelines on Detrended Fluctuation Analysis D. Ravi et al. https://doi.org/10.3389/fphys.2020.00562
130. Network dynamics: quantitative analysis of complex behavior in metabolism, organelles, and cells, from experiments to models and back F. Kurz et al. https://doi.org/10.1002/wsbm.1352
131. Fractal Analysis of the Long-Term Memory in Precipitation over Bénin (West Africa) M. Agbazo et al. https://doi.org/10.1155/2019/1353195
132. Evaluation of NCEP‐2 and CFSR reanalysis seasonal temperature data in China using detrended fluctuation analysis S. Zhao et al. https://doi.org/10.1002/joc.5173
133. Long-range persistence in sea surface temperature off the coast of central California L. Breaker https://doi.org/10.1177/1759313118791113
134. Future Temperature Extremes Will Be More Harmful: A New Critical Factor for Improved Forecasts C. Varotsos & Y. Mazei https://doi.org/10.3390/ijerph16204015
135. Identifying characteristic time scales in power grid frequency fluctuations with DFA P. Meyer et al. https://doi.org/10.1063/1.5123778
136. U.K. Rainfall Data: A Long-Term Persistence Approach L. Gil-Alana https://doi.org/10.1175/JAMC-D-11-0201.1
137. Scaling Behavior of Peat Properties during the Holocene: A Case Study from Central European Russia E. Fotaki et al. https://doi.org/10.3390/land11060862
138. SEARCHING FOR PERSISTENCE IN ATMOSPHERIC TEMPERATURE TIME SERIES: A RE-VISITATION OF RESULTS FROM DETRENDED FLUCTUATION ANALYSIS T. SIMONIELLO et al. https://doi.org/10.1142/S0217979209063730
139. Fractal fluctuations in gaze speed visual search D. Stephen & J. Anastas https://doi.org/10.3758/s13414-010-0069-3
140. Fewer jumps, less memory: Homogenized temperature records and long memory H. Rust et al. https://doi.org/10.1029/2008JD009919
141. On the link between atmospheric cloud parameters and cosmic rays J. Christodoulakis et al. https://doi.org/10.1016/j.jastp.2019.04.012
142. Persistent and anti-persistent pattern in stride-to-stride variability of treadmill walking: Influence of rhythmic auditory cueing P. Terrier & O. Dériaz https://doi.org/10.1016/j.humov.2012.05.004
143. Time trend estimation with breaks in temperature time series L. Gil-Alana https://doi.org/10.1007/s10584-008-9407-z
144. A new method for abrupt dynamic change detection of correlated time series W. He et al. https://doi.org/10.1002/joc.2367