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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:

The Detection of Malingered Amnesia: An Approach Involving Multiple Strategies in a Mock Crime
Stefano Zago, Emanuela Piacquadio, Merylin Monaro, et al.
Frontiers in Psychiatry (2019) Vol. 10
Open Access | Times Cited: 15

Showing 15 citing articles:

User modeling for detecting faking-good intent in online personality questionnaires in the wild based on mouse dynamics
Eduard Kuric, Peter Demcak, Peter Smrecek, et al.
Multimedia Tools and Applications (2025)
Open Access
Symptom and Performance Validity Assessment in European Countries: an Update
Thomas Merten, Brechje Dandachi‐FitzGerald, Vicki Hall, et al.
Psychological Injury and Law (2021) Vol. 15, Iss. 2, pp. 116-127
Open Access | Times Cited: 21
Use of mouse-tracking software to detect faking-good behavior on personality questionnaires: an explorative study
Cristina Mazza, Merylin Monaro, Franco Burla, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 22
Two Cases of Malingered Crime‐Related Amnesia
Stefano Zago, Alice Naomi Preti, Teresa Difonzo, et al.
Topics in Cognitive Science (2023)
Closed Access | Times Cited: 8
Facial thermal imaging: A systematic review with guidelines and measurement uncertainty estimation
Valentina Stanić, Gregor Geršak
Measurement (2024) Vol. 242, pp. 115879-115879
Open Access | Times Cited: 2
Spotting faked 5 stars ratings in E-Commerce using mouse dynamics
Merylin Monaro, Emanuela Cannonito, Luciano Gamberini, et al.
Computers in Human Behavior (2020) Vol. 109, pp. 106348-106348
Closed Access | Times Cited: 14
The Development of a Short Version of the SIMS Using Machine Learning to Detect Feigning in Forensic Assessment
Graziella Orrù, Cristina Mazza, Merylin Monaro, et al.
Psychological Injury and Law (2020) Vol. 14, Iss. 1, pp. 46-57
Open Access | Times Cited: 14
Detecting faking-good response style in personality questionnaires with four choice alternatives
Merylin Monaro, Cristina Mazza, Marco Colasanti, et al.
Psychological Research (2021) Vol. 85, Iss. 8, pp. 3094-3107
Open Access | Times Cited: 11
Detecting lies in investigative interviews through the analysis of response latencies and error rates to unexpected questions
Giulia Melis, Martina Ursino, Cristina Scarpazza, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
The detection of faked identity using unexpected questions and choice reaction times
Merylin Monaro, Ilaria Zampieri, Giuseppe Sartori, et al.
Psychological Research (2020) Vol. 85, Iss. 6, pp. 2474-2482
Open Access | Times Cited: 8
Translational Application of a Neuro-Scientific Multi-Modal Approach Into Forensic Psychiatric Evaluation: Why and How?
Cristina Scarpazza, Alessio Miolla, Ilaria Zampieri, et al.
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 6
The detection of malingering in whiplash-related injuries: a targeted literature review of the available strategies
Merylin Monaro, Chema Baydal Bertomeu, Francesca Zecchinato, et al.
International Journal of Legal Medicine (2021) Vol. 135, Iss. 5, pp. 2017-2032
Open Access | Times Cited: 5
France lags behind in the application of memory science in the courtroom.
Olivier Dodier, Mickaël Morlet-Rivelli, Fanny Verkampt
Journal of Applied Research in Memory and Cognition (2023) Vol. 12, Iss. 2, pp. 203-207
Open Access | Times Cited: 1
A Step Forward in Identifying Socially Desirable Respondents: An Integrated Machine Learning Model Considering T‐Scores, Response Time, Kinematic Indicators, and Eye Movements
Cristina Mazza, Irene Ceccato, Loreta Cannito, et al.
Human Behavior and Emerging Technologies (2024) Vol. 2024, Iss. 1
Open Access
A model to differentiate WAD patients and people with abnormal pain behaviour based on biomechanical and self-reported tests
Merylin Monaro, Helios De Rosario, José María Baydal Bertomeu, et al.
International Journal of Legal Medicine (2021) Vol. 135, Iss. 4, pp. 1637-1646
Open Access | Times Cited: 2
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