From twitch to tetanus: performance of excitation dynamics optimized for a twitch in predicting tetanic muscle forces. - Jan Peter van Zandwijk; Maarten F. Bobbert; Guus C. Baan; Peter A. Huijing (Biol. Cybern., 1996)

Evaluation of a self-consistent method for calculating muscle parameters from a set of isokinetic releases. - Jan Peter van Zandwijk; Guus C. Baan; Maarten F. Bobbert; Peter A. Huijing (Biol. Cybern., 1997)

From twitch to tetanus for human muscle: experimental data and model predictions for m. triceps surae. - Jan Peter van Zandwijk; Maarten F. Bobbert; Jaap Harlaar; At L. Hof (Biol. Cybern., 1998)

Sensitivity of vertical jumping performance to changes in muscle stimulation onset times: a simulation study. - Maarten F. Bobbert; Jan Peter van Zandwijk (Biol. Cybern., 1999)

A mathematical approach to NAND flash-memory descrambling and decoding. - Jan Peter van Zandwijk (Digit. Investig., 2015)

Bit-errors as a source of forensic information in NAND-flash memory. - Jan Peter van Zandwijk (Digit. Investig., 2017)

NAND Flash Memory Forensic Analysis and the Growing Challenge of Bit Errors. - Jan Peter van Zandwijk; Aya Fukami (IEEE Secur. Priv., 2017)

The iPhone Health App from a forensic perspective: can steps and distances registered during walking and running be used as digital evidence? - Jan Peter van Zandwijk; Abdul Boztas (Digit. Investig., 2019)

The phone reveals your motion: Digital traces of walking, driving and other movements on iPhones. - Jan Peter van Zandwijk; Abdul Boztas (Digit. Investig., 2021)

Likelihood ratio method for the interpretation of iPhone health app data in digital forensics. - Marouschka Vink; Marjan Sjerps; Abdul Boztas; Jan Peter van Zandwijk (Digit. Investig., 2022)

Have you been upstairs? On the accuracy of registrations of ascended and descended floors in iPhones. - Jan Peter van Zandwijk; Kim Lensen; Abdul Boztas (Forensic Sci. Int. Digit. Investig., 2023)