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:

Female hurricanes are not deadlier than male hurricanes
Daniel Malter
Proceedings of the National Academy of Sciences (2014) Vol. 111, Iss. 34
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Transparency, Reproducibility, and the Credibility of Economics Research
Garret Christensen, Edward Miguel
Journal of Economic Literature (2018) Vol. 56, Iss. 3, pp. 920-980
Open Access | Times Cited: 338

Specification Curve: Descriptive and Inferential Statistics on All Reasonable Specifications
Uri Simonsohn, Joseph P. Simmons, Leif D. Nelson
SSRN Electronic Journal (2015)
Open Access | Times Cited: 257

Exploratory Research
Richard Swedberg
Cambridge University Press eBooks (2020), pp. 17-41
Closed Access | Times Cited: 165

The Production of Knowledge
Colin Elman, Colin Elman, John Gerring, et al.
Cambridge University Press eBooks (2020)
Closed Access | Times Cited: 82

We Ran 9 Billion Regressions: Eliminating False Positives through Computational Model Robustness
John Muñoz, Cristobal Young
Sociological Methodology (2018) Vol. 48, Iss. 1, pp. 1-33
Open Access | Times Cited: 68

Which Data to Meta-Analyze, and How?
Martin Voracek, Michael Kossmeier, Ulrich S. Tran
Zeitschrift für Psychologie (2019) Vol. 227, Iss. 1, pp. 64-82
Closed Access | Times Cited: 51

The AI Delusion
Gary Smith
Oxford University Press eBooks (2018)
Closed Access | Times Cited: 46

A Survey of Tasks and Visualizations in Multiverse Analysis Reports
Brian D. Hall, Yang Liu, Yvonne Jansen, et al.
Computer Graphics Forum (2022) Vol. 41, Iss. 1, pp. 402-426
Open Access | Times Cited: 22

The Adverse Impacts of Disasters In-Name-Only
Giovanni Baiocchetti, Cecilia Castaldo, Ilan Noy, et al.
(2025)
Closed Access

Population matters when modeling hurricane fatalities
Laura Bakkensen, William D. Larson
Proceedings of the National Academy of Sciences (2014) Vol. 111, Iss. 50
Open Access | Times Cited: 37

Pre-registration and Results-Free Review in Observational and Qualitative Research
Alan M. Jacobs
Cambridge University Press eBooks (2020), pp. 221-264
Closed Access | Times Cited: 27

COVID‐19 is Feminine: Grammatical Gender Influences Danger Perceptions and Precautionary Behavioral Intentions by Activating Gender Stereotypes
Alican Mecit, L. J. Shrum, Tina M. Lowrey
Journal of Consumer Psychology (2021) Vol. 32, Iss. 2, pp. 316-325
Open Access | Times Cited: 24

multiverse: Multiplexing Alternative Data Analyses in R Notebooks
Abhraneel Sarma, Alex Kale, Michael Moon, et al.
(2023), pp. 1-15
Closed Access | Times Cited: 10

Hurricane names: A bunch of hot air?
Gary Smith
Weather and Climate Extremes (2015) Vol. 12, pp. 80-84
Open Access | Times Cited: 29

COVID-19, Coronavirus, Wuhan Virus, or China Virus? Understanding How to “Do No Harm” When Naming an Infectious Disease
Theodore C. Masters-Waage, Nilotpal Jha, Jochen Reb
Frontiers in Psychology (2020) Vol. 11
Open Access | Times Cited: 22

The effect of face masks on the stereotype effect in emotion perception
Maximilian Primbs, Mike Rinck, Rob W. Holland, et al.
Journal of Experimental Social Psychology (2022) Vol. 103, pp. 104394-104394
Open Access | Times Cited: 9

Big data uncertainties
Pierre-André Maugis
Journal of Forensic and Legal Medicine (2016) Vol. 57, pp. 7-11
Closed Access | Times Cited: 13

Ethics in Statistical Practice and Communication: Five Recommendations
Andrew Gelman
Significance (2018) Vol. 15, Iss. 5, pp. 40-43
Open Access | Times Cited: 14

Making Research Data Accessible
Diana Kapiszewski, Sebastian Karcher
Cambridge University Press eBooks (2020), pp. 197-220
Closed Access | Times Cited: 12

Reply to Christensen and Christensen and to Malter: Pitfalls of erroneous analyses of hurricanes names
Kiju Jung, Sharon Shavitt, Madhu Viswanathan, et al.
Proceedings of the National Academy of Sciences (2014) Vol. 111, Iss. 34
Open Access | Times Cited: 10

Rejoinder: Can We Weight Models by Their Probability of Being True?
John Muñoz, Cristobal Young
Sociological Methodology (2018) Vol. 48, Iss. 1, pp. 43-51
Open Access | Times Cited: 5

Reliability of Inference: Analogs of Replication in Qualitative Research
Tasha Fairfield, Andrew Charman
Cambridge University Press eBooks (2020), pp. 301-333
Closed Access | Times Cited: 5

Measurement Replication in Qualitative and Quantitative Studies
Dan Reiter
Cambridge University Press eBooks (2020), pp. 284-300
Closed Access | Times Cited: 4

How concerning is Lucifer? Insights from an experimental study of public responses to heat event naming in England and Italy
Barbara Summers, Andrea Taylor, Pietro Bellomo, et al.
Meteorological Applications (2024) Vol. 31, Iss. 6
Open Access

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