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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Issues in generating stochastic observables for hydrological models
Keith Beven
Hydrological Processes (2021) Vol. 35, Iss. 6
Closed Access | Times Cited: 13

Showing 13 citing articles:

An Overview of Flood Concepts, Challenges, and Future Directions
Ashok K. Mishra, Sourav Mukherjee, Bruno Merz, et al.
Journal of Hydrologic Engineering (2022) Vol. 27, Iss. 6
Closed Access | Times Cited: 89
Random fractional partial differential equations and solutions for water movement in soils: Theory and applications
Ninghu Su
Hydrological Processes (2023) Vol. 37, Iss. 3
Open Access | Times Cited: 8
Spatial Hurst–Kolmogorov Clustering
Panayiotis Dimitriadis, Theano Iliopoulou, G.-Fivos Sargentis, et al.
Encyclopedia (2021) Vol. 1, Iss. 4, pp. 1010-1025
Open Access | Times Cited: 12
Impacts of observational uncertainty on analysis and modelling of hydrological processes: Preface
Hilary McMillan, Gemma Coxon, Anna E. Sikorska‐Senoner, et al.
Hydrological Processes (2022) Vol. 36, Iss. 2
Open Access | Times Cited: 8
A rigorous uncertainty-aware quantification framework is essential for reproducible and replicable machine learning workflows
Line Pouchard, Kristofer G. Reyes, Francis J. Alexander, et al.
Digital Discovery (2023) Vol. 2, Iss. 5, pp. 1251-1258
Open Access | Times Cited: 4
Post-processing climate projections of precipitation for the Po river basin: will Italy's North become water-constrained?
Oleksiy Boyko, Paolo Reggiani, E. Todini
Hydrology Research (2022) Vol. 53, Iss. 11, pp. 1414-1427
Open Access | Times Cited: 7
Towards Generic Simulation for Demanding Stochastic Processes
Demetris Koutsoyiannis, Panayiotis Dimitriadis
Sci (2021) Vol. 3, Iss. 3, pp. 34-34
Open Access | Times Cited: 9
A process-based flood frequency analysis within a trivariate statistical framework. Application to a semi-arid Mediterranean case study
Sergio Salazar-Galán, Rafael García-Bartual, José Luis Salinas, et al.
Journal of Hydrology (2021) Vol. 603, pp. 127081-127081
Open Access | Times Cited: 9
A tutorial on reproducing a predefined autocovariance function through AR models: application to stationary homogeneous isotropic turbulence
Cristóbal Gallego‐Castillo, Alvaro Cuerva‐Tejero, Mohanad Elagamy, et al.
Stochastic Environmental Research and Risk Assessment (2021) Vol. 36, Iss. 9, pp. 2711-2736
Open Access | Times Cited: 8
Sub-daily rainfall simulation using multifractal canonical disaggregation: a parsimonious calibration strategy based on intensity-duration-frequency curves
Francesco Cappelli, Elena Volpi, Andreas Langousis, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access
Time-Varying Effects of Precipitation and Temperature on Daily Streamflow Determined Using the DCC Model
Huimin Wang, Songbai Song, Gengxi Zhang, et al.
Journal of Water Resources Planning and Management (2023) Vol. 149, Iss. 10
Closed Access | Times Cited: 1
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows
Line Pouchard, Kristofer G. Reyes, Francis J. Alexander, et al.
arXiv (Cornell University) (2023)
Open Access
Analyzing uncertainty in probable maximum precipitation estimation with large ensemble climate simulation data
Youngkyu Kim, Sunmin Kim, Yasuto Tachikawa
Journal of Flood Risk Management (2023) Vol. 17, Iss. 1
Open Access
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