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:

Comparative analysis of scalar upper tail indicators
Luzie Wietzke, Bruno Merz, Lars Gerlitz, et al.
Hydrological Sciences Journal (2020) Vol. 65, Iss. 10, pp. 1625-1639
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Understanding Heavy Tails of Flood Peak Distributions
Bruno Merz, Stefano Basso, Svenja Fischer, et al.
Water Resources Research (2022) Vol. 58, Iss. 6
Open Access | Times Cited: 79

Rainfall Generation Revisited: Introducing CoSMoS‐2s and Advancing Copula‐Based Intermittent Time Series Modeling
Simon Michael Papalexiou
Water Resources Research (2022) Vol. 58, Iss. 6
Open Access | Times Cited: 53

Emergence of heavy tails in streamflow distributions: the role of spatial rainfall variability
Hsing-Jui Wang, Ralf Merz, Soohyun Yang, et al.
Advances in Water Resources (2022) Vol. 171, pp. 104359-104359
Open Access | Times Cited: 38

Compounding effects in flood drivers challenge estimates of extreme river floods
Shijie Jiang, Larisa Tarasova, Guo Yu, et al.
Science Advances (2024) Vol. 10, Iss. 13
Open Access | Times Cited: 14

Reliable estimation of high floods: A method to select the most suitable ordinary distribution in the Metastatistical extreme value framework
Sumra Mushtaq, Arianna Miniussi, Ralf Merz, et al.
Advances in Water Resources (2022) Vol. 161, pp. 104127-104127
Closed Access | Times Cited: 37

Event and Catchment Controls of Heavy Tail Behavior of Floods
Elena Macdonald, Bruno Merz, Björn Guse, et al.
Water Resources Research (2022) Vol. 58, Iss. 6
Open Access | Times Cited: 27

Constructing a geography of heavy-tailed flood distributions: insights from common streamflow dynamics
Hsing-Jui Wang, Ralf Merz, Stefano Basso
Hydrology and earth system sciences (2025) Vol. 29, Iss. 6, pp. 1525-1548
Open Access

How extreme are flood peak distributions? A quasi-global analysis of daily discharge records
Masoud Zaerpour, Simon Michael Papalexiou, Alain Pietroniro, et al.
Journal of Hydrology (2024) Vol. 631, pp. 130849-130849
Closed Access | Times Cited: 4

Heavy-tailed flood peak distributions: what is the effect of the spatial variability of rainfall and runoff generation?
Elena Macdonald, Bruno Merz, Nguyễn Việt Dũng, et al.
Hydrology and earth system sciences (2025) Vol. 29, Iss. 2, pp. 447-463
Open Access

Selection of a Probability Model Adapted to the Current Climate for Annual Maximum Daily Rainfall in the Benin Mono-Couffo Basin (West Africa)
Voltaire Midakpo Alofa, Mathieu B. Hounsou, Grâce-Désirée Houeffa, et al.
Hydrology (2025) Vol. 12, Iss. 4, pp. 86-86
Open Access

What controls the tail behaviour of flood series: rainfall or runoff generation?
Elena Macdonald, Bruno Merz, Björn Guse, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 4, pp. 833-850
Open Access | Times Cited: 3

Revisiting flood peak distributions: A pan-Canadian investigation
Mohanad Zaghloul, Simon Michael Papalexiou, Amin Elshorbagy, et al.
Advances in Water Resources (2020) Vol. 145, pp. 103720-103720
Closed Access | Times Cited: 27

The Upper Tail of Flood Peaks Over China: Hydrology, Hydrometeorology, and Hydroclimatology
Long Yang, Yixin Yang, James A. Smith
Water Resources Research (2021) Vol. 57, Iss. 11
Closed Access | Times Cited: 11

Characterizing the tail behaviour of daily precipitation probability distributions over India using the obesity index
Neha Gupta, Sagar Rohidas Chavan
International Journal of Climatology (2021) Vol. 42, Iss. 4, pp. 2543-2565
Closed Access | Times Cited: 6

Investigating the tail behaviour and associated risk with daily discharges in South Indian Rivers
Neha Gupta, Sagar Rohidas Chavan
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 9, pp. 3383-3399
Closed Access | Times Cited: 2

Inferring heavy tails of flood distributions from common discharge dynamics
Hsing-Jui Wang, Ralf Merz, Soohyun Yang, et al.
(2023)
Open Access | Times Cited: 2

A comprehensive decision support system for the characterization of probability distribution tails for daily precipitation
Neha Gupta, Sagar Rohidas Chavan
Journal of Hydrology (2023) Vol. 626, pp. 130282-130282
Closed Access | Times Cited: 2

Reply on RC1
Hsing-Jui Wang
(2024)
Open Access

Reply on RC2
Hsing-Jui Wang
(2024)
Open Access

Constructing Long‐Term Hydrographs for River Climate‐Resilience: A Novel Approach for Studying Centennial to Millennial River Behavior
Mohamed M. Fathi, Virginia Smith, Ayman G. Awadallah, et al.
Water Resources Research (2024) Vol. 60, Iss. 10
Open Access

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