62 citations as recorded by crossref.

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2. Coordinative patterns underlying cross-linguistic rhythmic differences L. Lancia et al. 10.1016/j.wocn.2018.08.004
3. Complex network based techniques to identify extreme events and (sudden) transitions in spatio-temporal systems N. Marwan & J. Kurths 10.1063/1.4916924
4. A Brief Introduction to Nonlinear Time Series Analysis and Recurrence Plots B. Goswami 10.3390/vibration2040021
5. A pseudo-basis using a recurrence plot M. Shiro & Y. Hirata 10.1140/epjs/s11734-022-00702-7
6. Complex network approaches to nonlinear time series analysis Y. Zou et al. 10.1016/j.physrep.2018.10.005
7. A variable threshold for recurrence based on local attractor density R. Delage & T. Nakata 10.1063/5.0114797
8. Optimizing self-organized topology of recurrence-based complex networks C. Li et al. 10.1063/5.0249500
9. See–saw relationship of the Holocene East Asian–Australian summer monsoon D. Eroglu et al. 10.1038/ncomms12929
10. Automatic detection of abrupt transitions in paleoclimate records W. Bagniewski et al. 10.1063/5.0062543
11. Recurrence network analysis of schizophrenia MEG under different stimulation states D. Bai et al. 10.1016/j.bspc.2022.104310
12. How to compute suitable vicinity parameter and sampling time of recurrence analysis T. de Lima Prado et al. 10.1007/s11071-023-09063-9
13. Recurrence network analysis in a model tripartite quantum system P. Laha et al. 10.1209/0295-5075/125/60005
14. The reliability of recurrence network analysis is influenced by the observability properties of the recorded time series L. Portes et al. 10.1063/1.5093197
15. Recurrence network analysis exploring the routes to thermoacoustic instability in a Rijke tube with inverse diffusion flame A. Bhattacharya et al. 10.1063/5.0026943
16. LSD flattens the hierarchy of directed information flow in fast whole-brain dynamics K. Shinozuka et al. 10.1162/imag_a_00420
17. Study of system dynamics through recurrence analysis of regular windows A. Rysak & M. Gregorczyk 10.1063/5.0036505
18. Cross over of recurrence networks to random graphs and random geometric graphs R. JACOB et al. 10.1007/s12043-016-1339-y
19. Characteristics of Air Traffic Flow in Terminal Airspace: A Multiplex Recurrence Network Analysis F. Jiang & Z. Zhang 10.1109/TITS.2024.3396627
20. Characterizing the nonlinear dynamics of hydrological systems based on global recurrence analysis S. Yu et al. 10.1016/j.jhydrol.2025.132817
21. Lean blowout detection using topological data analysis A. Bhattacharya et al. 10.1063/5.0156500
22. Network-based methodology to determine obstructive sleep apnea A. Vaysi et al. 10.1016/j.physa.2025.130714
23. A novel methodology for emotion recognition through 62-lead EEG signals: multilevel heterogeneous recurrence analysis Y. Wang et al. 10.3389/fphys.2024.1425582
24. Network correlation between investor’s herding behavior and overconfidence behavior* M. Zhang & Y. Wang 10.1088/1674-1056/ab7740
25. A non-destructive dropped fruit impact signal imaging-based deep learning approach for smart sorting of kiwifruit Y. Yang et al. 10.1016/j.compag.2022.107380
26. Characterizing the signature of flame flashback precursor through recurrence analysis L. Christodoulou et al. 10.1063/1.4940154
27. Bifurcations, time-series analysis of observables, and network properties in a tripartite quantum system P. Laha et al. 10.1016/j.physleta.2020.126565
28. Dispersion heterogeneous recurrence analysis and its use on fault detection B. Zhang et al. 10.1016/j.cnsns.2022.106902
29. Reservoir computing approaches to unsupervised concept drift detection in dynamical systems B. Thorne et al. 10.1063/5.0234779
30. Determining periodic orbits via nonlinear filtering and recurrence spectra in the presence of noise S. Oberst et al. 10.1016/j.proeng.2017.09.046
31. Uniform framework for the recurrence-network analysis of chaotic time series R. Jacob et al. 10.1103/PhysRevE.93.012202
32. Early detection of lean blowout in a combustor using symbolic analysis of colour images S. De et al. 10.1016/j.measurement.2021.110113
33. How to Compute Suitable Vicinity Parameter and Sampling Time of Recurrence Analysis T. Prado et al. 10.2139/ssrn.4111917
34. A bottom-up approach for recurrence detection based on sampling distance R. Delage & T. Nakata 10.1063/5.0160832
35. Detection of changes in the dynamics of thermonuclear plasmas to improve the prediction of disruptions T. Craciunescu & A. Murari 10.1007/s11071-022-08009-x
36. Fractal analysis of recurrence networks constructed from the two-dimensional fractional Brownian motions J. Liu et al. 10.1063/5.0003884
37. Characterization of chaotic attractors under noise: A recurrence network perspective R. Jacob et al. 10.1016/j.cnsns.2016.04.028
38. Recurrence threshold selection for obtaining robust recurrence characteristics in different embedding dimensions K. Kraemer et al. 10.1063/1.5024914
39. Detection of unstable periodic orbits in mineralising geological systems S. Oberst et al. 10.1063/1.5024134
40. On a topological criterion to select a recurrence threshold I. Andreadis et al. 10.1063/1.5116766
41. Building functional networks for complex response analysis in systems of coupled nonlinear oscillators C. Geier et al. 10.1016/j.jsv.2024.118544
42. Transformation cost spectrum for irregularly sampled time series C. Ozdes & D. Eroglu 10.1140/epjs/s11734-022-00512-x
43. Recurrence plot analysis of irregularly sampled data I. Ozken et al. 10.1103/PhysRevE.98.052215
44. Application of recurrence quantification analysis for early detection of lean blowout in a swirl-stabilized dump combustor S. De et al. 10.1063/1.5131231
45. Network structure entropy and its dynamical evolution for recurrence networks from earthquake magnitude time series M. Lin et al. 10.1140/epjb/e2016-70004-0
46. Analyzing long-term correlated stochastic processes by means of recurrence networks: Potentials and pitfalls Y. Zou et al. 10.1103/PhysRevE.91.022926
47. Finding metastable states in real-world time series with recurrence networks I. Vega et al. 10.1016/j.physa.2015.10.041
48. An Automatic Process Monitoring Method Using Recurrence Plot in Progressive Stamping Processes C. Zhou et al. 10.1109/TASE.2015.2468058
49. A Recurrence Network Approach for Characterization and Detection of Dynamical Transitions During Human Speech Production G. Lal et al. 10.1007/s00034-022-02103-6
50. Early detection of lean blowout using recurrence network for varying degrees of premixedness A. Bhattacharya et al. 10.1063/5.0077436
51. Directed recurrence networks R. Delage & T. Nakata 10.1063/5.0173394
52. Time-Series and Network Analysis in Quantum Dynamics: Comparison with Classical Dynamics P. Laha et al. 10.1007/s10773-020-04610-1
53. Data-driven stability analysis in a multi-element supercritical liquid oxygen–methane combustor A. Bhattacharya et al. 10.1063/5.0263601
54. Non-linear regime shifts in Holocene Asian monsoon variability: potential impacts on cultural change and migratory patterns J. Donges et al. 10.5194/cp-11-709-2015
55. Markov modeling via ordinal partitions: An alternative paradigm for network-based time-series analysis K. Sakellariou et al. 10.1103/PhysRevE.100.062307
56. Complex Network Methods for Plastic Deformation Dynamics in Metals A. Kiv et al. 10.3390/dynamics3010004
57. Trends in recurrence analysis of dynamical systems N. Marwan & K. Kraemer 10.1140/epjs/s11734-022-00739-8
58. Transformation-cost time-series method for analyzing irregularly sampled data I. Ozken et al. 10.1103/PhysRevE.91.062911
59. Mapping and discrimination of networks in the complexity-entropy plane M. Wiedermann et al. 10.1103/PhysRevE.96.042304
60. Uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed S. George et al. 10.1038/s41598-021-92890-w
61. Recurrence network modeling and analysis of spatial data C. Chen et al. 10.1063/1.5024917
62. Deep RP-CNN for Burst Signal Detection in Cognitive Radios D. Seo & H. Nam 10.1109/ACCESS.2020.3023262