63 citations as recorded by crossref.

1. Accounting for temporal variability for improved precipitation regionalization based on self-organizing map coupled with information theory R. Guntu et al. https://doi.org/10.1016/j.jhydrol.2020.125236
2. Wavelet entropy-based evaluation of intrinsic predictability of time series R. Guntu et al. https://doi.org/10.1063/1.5145005
3. A review of synchronization of extreme precipitation events in monsoons from complex network perspective K. Cheung et al. https://doi.org/10.1016/j.jhydrol.2024.132604
4. Synchronization of extreme rainfall during the Australian summer monsoon: Complex network perspectives K. Cheung & U. Ozturk https://doi.org/10.1063/1.5144150
5. Quantifying the association between Arctic Sea ice extent and Indian precipitation S. Kulkarni & A. Agarwal https://doi.org/10.1002/joc.8337
6. Exploring the intensity, distribution and evolution of teleconnections using climate network analysis S. Wang et al. https://doi.org/10.1063/5.0153677
7. Disentangling increasing compound extremes at regional scale during Indian summer monsoon R. Guntu & A. Agarwal https://doi.org/10.1038/s41598-021-95775-0
8. Seasonal precipitation forecasting for water management in the Kosi Basin, India using large-scale climate predictors M. Dhillon et al. https://doi.org/10.2166/wcc.2023.479
9. A complex network approach to study the extreme precipitation patterns in a river basin A. Agarwal et al. https://doi.org/10.1063/5.0072520
10. Drivers, changes, and impacts of hydrological extremes in India: A review V. Mishra et al. https://doi.org/10.1002/wat2.1742
11. Holocene climate forcings and lacustrine regime shifts in the Indian summer monsoon realm S. Prasad et al. https://doi.org/10.1002/esp.5004
12. Investigation of the role of model integration time step size in numerical simulation of Kerala heavy rainfall events in a cloud resolving scale K. Chanchal et al. https://doi.org/10.1080/27669645.2025.2588473
13. Multi‐Scale Spatiotemporal Community Structure of Organised Convective Clouds Over the Tropics M. Mohammed Mujahid et al. https://doi.org/10.1002/joc.70363
14. Understanding the intricacies of rainfall dynamics using entropy measures S. Singh & A. Kumar https://doi.org/10.2166/wcc.2024.350
15. The impact of varying seasonal lengths of the rainy seasons of India on its teleconnections with tropical sea surface temperatures V. Misra & A. Bhardwaj https://doi.org/10.1002/asl.959
16. Analysis and Forecasting of Temporal Rainfall Variability Over Hundred Indian Cities Using Deep Learning Approaches S. Singh et al. https://doi.org/10.1007/s41748-024-00396-y
17. Evaluating climate shifts and drought regions in the central Indian river basins S. Singh et al. https://doi.org/10.1038/s41598-025-15231-1
18. Using machine learning to predict statistical properties of non-stationary dynamical processes: System climate,regime transitions, and the effect of stochasticity D. Patel et al. https://doi.org/10.1063/5.0042598
19. A Review of the Research Status of Teleconnection 娜. 王 https://doi.org/10.12677/GSER.2023.123038
20. Analyzing the streamflow teleconnections of greater Pampa basin, Kerala, India using wavelet coherence M. Mohan et al. https://doi.org/10.1016/j.pce.2023.103446
21. Spatial diversity of atmospheric moisture transport and climate teleconnections over Indian subcontinent at different timescales A. Raghuvanshi & A. Agarwal https://doi.org/10.1038/s41598-024-62760-2
22. Complex systems approaches for Earth system data analysis N. Boers et al. https://doi.org/10.1088/2632-072X/abd8db
23. Dynamic flood frequency analysis for west flowing rivers of Kerala, India M. Mohan & S. Adarsh https://doi.org/10.1016/j.wasec.2023.100137
24. Analyzing the climatic teleconnections of meteorological variables and drought of Kerala, India using coherence differencing approach K. Nazreen et al. https://doi.org/10.1007/s44288-025-00231-5
25. Multiscale teleconnection analysis of rainfall patterns over Calicut, India using wavelet coherence S. Adarsh et al. https://doi.org/10.1007/s12040-023-02228-5
26. Complex network theoretic assessment of precipitation‐driven meteorological drought in India: Past and future V. Jha et al. https://doi.org/10.1002/joc.7397
27. Multiscale Spatiotemporal Analysis of Extreme Events in the Gomati River Basin, India A. Kalyan et al. https://doi.org/10.3390/atmos12040480
28. Customized sea‐surface temperature indicators linking to streamflow at different timescales A. Ganapathy & A. Agarwal https://doi.org/10.1002/joc.7853
29. Synchronized Structure and Teleconnection Patterns of Meteorological Drought Events over the Yangtze River Basin, China L. Liu et al. https://doi.org/10.3390/w15213707
30. Streamflow drought onset and severity explained by non‐linear responses between climate‐catchment and land surface processes A. Raut et al. https://doi.org/10.1002/hyp.15245
31. Inter-Comparison of Gauge-Based Gridded Data, Reanalysis and Satellite Precipitation Product with an Emphasis on Hydrological Modeling S. Setti et al. https://doi.org/10.3390/atmos11111252
32. Evolution mechanism of principal modes in climate dynamics Y. Zhang et al. https://doi.org/10.1088/1367-2630/abb89a
33. Assessing the hydroclimate changes in Western Himalayas during the Little Ice Age A. Singh et al. https://doi.org/10.1177/09596836231225727
34. Drought reconstruction and related dendrogeomorphic time-series analysis from Kinnaur region of western Himalayas B. Chinthala et al. https://doi.org/10.1016/j.catena.2025.108950
35. The climatic interdependence of extreme-rainfall events around the globe Z. Su et al. https://doi.org/10.1063/5.0077106
36. Evolving Indo-Pacific teleconnections and regional feedbacks in Indian rainfall extremes: A principal component-wavelet framework S. Dixit & K. Pandey https://doi.org/10.1016/j.atmosres.2026.108900
37. Does climate impact vary across time horizons? A time–frequency analysis of climate-crop yields in India S. Padakandla et al. https://doi.org/10.1007/s00477-021-02088-9
38. Himalayan fir reveals moist phase during Little Ice Age in the Kashmir region of the western Himalayas B. Chinthala et al. https://doi.org/10.1016/j.quascirev.2023.108167
39. Long-term rainfall variability of Indian river basins in the context of global warming and climatic indices A. Ranade & S. Gurrapu https://doi.org/10.2166/wcc.2025.419
40. Complex networks and deep learning for EEG signal analysis Z. Gao et al. https://doi.org/10.1007/s11571-020-09626-1
41. Multiscale investigation of precipitation extremes over Ethiopia and teleconnections to large-scale climate anomalies T. Beyene et al. https://doi.org/10.1007/s00477-021-02120-y
42. A Time-Dependent Intrinsic Correlation Analysis to Identify Teleconnection Between Climatic Oscillations and Extreme Climatic Indices Across the Southern Indian Peninsula A. Danandeh Mehr et al. https://doi.org/10.3390/atmos16121395
43. Critical slowing down indicators F. Nazarimehr et al. https://doi.org/10.1209/0295-5075/132/18001
44. On the need of ensemble flood forecast in India J. Nanditha & V. Mishra https://doi.org/10.1016/j.wasec.2021.100086
45. Investigating streamflow variability and hydroclimatic teleconnections: a comparison of regulated and unregulated streamflow stations T. Pant et al. https://doi.org/10.2166/wcc.2022.369
46. Multi-scale investigation on streamflow temporal variability and its connection to global climate indices for unregulated rivers in India P. Yeditha et al. https://doi.org/10.2166/wcc.2021.189
47. Spatial organization of connectivity in functional climate networks describing event synchrony of heavy precipitation F. Wolf & R. Donner https://doi.org/10.1140/epjs/s11734-021-00166-1
48. Climate indices and hydrological extremes: Deciphering the best fit model D. Panday & M. Kumar https://doi.org/10.1016/j.envres.2022.114301
49. Cryptocurrency price analysis with ordinal partition networks Z. Shahriari et al. https://doi.org/10.1016/j.amc.2022.127237
50. Decoding the enigma of 100-year record-breaking rainfall over Tamil Nadu using wavelet analysis A. Raja S K et al. https://doi.org/10.1016/j.gsd.2023.101007
51. Wavelet analysis of precipitation extremes over India and teleconnections to climate indices M. Rathinasamy et al. https://doi.org/10.1007/s00477-019-01738-3
52. Impact of solar variability on Indian summer monsoon through large scale circulations V. Barde et al. https://doi.org/10.1016/j.jastp.2023.106134
53. Asymmetrical synchronization of extreme rainfall events in southwest China P. Qiao et al. https://doi.org/10.1002/joc.7569
54. Ranking and characterization of precipitation extremes for the past 113 years for Indian western Himalayas S. Raj et al. https://doi.org/10.1002/joc.7215
55. Climate network approach reveals the modes of CO2 concentration to surface air temperature N. Ying et al. https://doi.org/10.1063/5.0040360
56. Multiscale association between large‐scale climate variability modes and drought in India via wavelet analysis V. Sidhan & S. Singh https://doi.org/10.1002/joc.8435
57. Intercomparison of downscaling methods for daily precipitation with emphasis on wavelet-based hybrid models Y. Kumar et al. https://doi.org/10.1016/j.jhydrol.2021.126373
58. Improving the predictability of compound dry and hot extremes through complexity science R. Guntu & A. Agarwal https://doi.org/10.1088/1748-9326/ad0c0c
59. Multifractality of climate networks A. Thomas et al. https://doi.org/10.5194/npg-32-131-2025
60. Optimal design of hydrometric station networks based on complex network analysis A. Agarwal et al. https://doi.org/10.5194/hess-24-2235-2020
61. A nonlinear hybrid model to assess the impacts of climate variability and human activities on runoff at different time scales Y. Qin et al. https://doi.org/10.1007/s00477-021-01984-4
62. Spatio-temporal rainfall variability over different meteorological subdivisions in India: analysis using different machine learning techniques G. Mohapatra et al. https://doi.org/10.1007/s00704-021-03644-7
63. Exploring meteorological droughts' spatial patterns across Europe through complex network theory D. Giaquinto et al. https://doi.org/10.5194/npg-30-167-2023