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Cited by

• 2008A new approach for EEG feature extraction in P300-based lie detection226 cited
• 2014Memory detection with the C oncealed I nformation T est: A meta analysis of skin conductance, respiration, heart rate, and P300 data226 cited
• 2010Emerging Neurotechnologies for Lie-Detection: Promises and Perils189 cited
• 2007Covariations among fMRI, skin conductance, and behavioral data during processing of concealed information187 cited
• 2005Emerging Neurotechnologies for Lie-Detection: Promises and Perils170 cited
• 2005Behavioral and Physiological Measures in the Detection of Concealed Information.152 cited
• 2006An Empirical Test of the Behaviour Analysis Interview.141 cited
• 2007The role of psychophysiology in forensic assessments: Deception detection, ERPs, and virtual reality mock crime scenarios134 cited
• 2003Estimating the Validity of the Guilty Knowledge Test From Simulated Experiments: The External Validity of Mock Crime Studies.133 cited
• 2007Successful detection of verbal and visual concealed knowledge using an RT‐based paradigm128 cited
• 2007The P300 is sensitive to concealed face recognition128 cited
• 2009Task relevance and recognition of concealed information have different influences on electrodermal activity and event-related brain potentials123 cited
• 2005P300-based detection of concealed autobiographical versus incidentally acquired information in target and non-target paradigms