Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Empty Streets, Busy Internet: A Time-Series Analysis of Cybercrime and Fraud Trends During COVID-19
Steven Kemp, David Buil‐Gil, Asier Moneva, et al.
Journal of Contemporary Criminal Justice (2021) Vol. 37, Iss. 4, pp. 480-501
Open Access | Times Cited: 92

Showing 1-25 of 92 citing articles:

“If U Don’t Pay they will Share the Pics”: Exploring Sextortion in the Context of Romance Fraud
Cassandra Cross, Karen Holt, Roberta Liggett O’Malley
Victims & Offenders (2022) Vol. 18, Iss. 7, pp. 1194-1215
Closed Access | Times Cited: 29
Crime and deviance during the COVID‐19 pandemic
Jullianne Regalado, Anastasiia Timmer, Ali Jawaid
Sociology Compass (2022) Vol. 16, Iss. 4
Open Access | Times Cited: 28
Towards digital organized crime and digital sociology of organized crime
Andrea Di Nicola
Trends in Organized Crime (2022)
Open Access | Times Cited: 28
Understanding the rise of fraud in England and Wales through field theory: Blip or flip?
Mark Button, Branislav Hock, David Shepherd, et al.
Journal of Economic Criminology (2023) Vol. 1, pp. 100012-100012
Open Access | Times Cited: 17
COVID-19, new challenges to human safety: a global review
Saierdaer Aikebaier
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 5
Shifting routines and the industrialisation of scams: the impact of Covid-19 on deception crimes in Hong Kong
Eray Arda Akartuna, Fanny Yeung, Matthew Manning, et al.
Trends in Organized Crime (2025)
Open Access
Artificial intelligence in the COVID-19 pandemic: balancing benefits and ethical challenges in China’s response
Xiaojun Ding, Bingxing Shang, Caifeng Xie, et al.
Humanities and Social Sciences Communications (2025) Vol. 12, Iss. 1
Open Access
The seasonality index of cybercrimes
Anton Anatolevich Komarov
Полицейская деятельность (2025), Iss. 1, pp. 58-74
Open Access
Does protection motivation predict self-protective online behaviour? Comparing self-reported and actual online behaviour using a population-based survey experiment.
M.S. van ’t Hoff-de Goede, Rutger Leukfeldt, Steve van de Weijer, et al.
Computers in Human Behavior Reports (2025), pp. 100649-100649
Open Access
Offline crime bounces back to pre-COVID levels, cyber stays high: interrupted time-series analysis in Northern Ireland
David Buil‐Gil, Yongyu Zeng, Steven Kemp
Crime Science (2021) Vol. 10, Iss. 1
Open Access | Times Cited: 37
The Effect of COVID-19 Restrictions on Routine Activities and Online Crime
Shane D. Johnson, Manja Nikolovska
Journal of Quantitative Criminology (2022) Vol. 40, Iss. 1, pp. 131-150
Open Access | Times Cited: 24
Understanding the state of criminological scholarship on cybercrimes
Thomas J. Holt
Computers in Human Behavior (2022) Vol. 139, pp. 107493-107493
Closed Access | Times Cited: 23
The Impact of the COVID-19 Pandemic on the Practice of Forensic Medicine: An Overview
Massimiliano Esposito, Monica Salerno, Edmondo Scoto, et al.
Healthcare (2022) Vol. 10, Iss. 2, pp. 319-319
Open Access | Times Cited: 22
Tainted Love: a Systematic Literature Review of Online Romance Scam Research
Alexander Bilz, Lynsay A. Shepherd, Graham Johnson
Interacting with Computers (2023) Vol. 35, Iss. 6, pp. 773-788
Open Access | Times Cited: 14
The development of phishing during the COVID-19 pandemic: An analysis of over 1100 targeted domains
Raphael Hoheisel, Guido van Capelleveen, Dipti Kapoor Sarmah, et al.
Computers & Security (2023) Vol. 128, pp. 103158-103158
Open Access | Times Cited: 13
Insider threats among Dutch SMEs: Nature and extent of incidents, and cyber security measures
Asier Moneva, Rutger Leukfeldt
Journal of Criminology (2023) Vol. 56, Iss. 4, pp. 416-440
Open Access | Times Cited: 11
Pandemic Restrictions and Spatiotemporal Crime Patterns in New York, São Paulo, and Stockholm
Vânia Ceccato, Túlio Kahn, Christopher R. Herrmann, et al.
Journal of Contemporary Criminal Justice (2021) Vol. 38, Iss. 1, pp. 120-149
Open Access | Times Cited: 25
“I Have Only Checked after the Event”: Consumer Approaches to Safe Online Shopping
Jack Mark Whittaker, Matthew Edwards, Cassandra Cross, et al.
Victims & Offenders (2022) Vol. 18, Iss. 7, pp. 1259-1281
Open Access | Times Cited: 17
A Large-Scale Measurement of Cybercrime Against Individuals
Casey Breen, Cormac Herley, Elissa M. Redmiles
CHI Conference on Human Factors in Computing Systems (2022), pp. 1-41
Open Access | Times Cited: 14
The Impact of COVID-19 on Crime: a Systematic Review
Chris M. Hoeboer, Willeke M. Kitselaar, Julia F. Henrich, et al.
American Journal of Criminal Justice (2023) Vol. 49, Iss. 2, pp. 274-303
Open Access | Times Cited: 8
The impact of COVID-19 lockdown on fraud in the UK
Shuai Chen, F. Ding, David Buil‐Gil, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Preventing fraud victimisation against older adults: Towards a holistic model for protection
Mark Button, Vasileios Karagiannopoulos, Julak Lee, et al.
International journal of law, crime and justice (2024) Vol. 77, pp. 100672-100672
Open Access | Times Cited: 2
When do businesses report cybercrime? Findings from a UK study
Steven Kemp, David Buil‐Gil, Fernando Miró Llinares, et al.
Criminology & Criminal Justice (2021) Vol. 23, Iss. 3, pp. 468-489
Open Access | Times Cited: 16
What really works in preventing fraud against organisations and do decision-makers really need to know?
Mark Button, Branislav Hock, David Shepherd, et al.
Security Journal (2023) Vol. 37, Iss. 3, pp. 965-983
Open Access | Times Cited: 6
Bayesian Structural Time Series and Geographically Weighted Logistic Regression Modelling Impacts of COVID-19 Lockdowns on the Spatiotemporal Patterns of London’s Crimes
Rui Wang, Yijing Li
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 1, pp. 18-18
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top