| Internal validation of STRmix™–a multi laboratory response to PCAST JA Bright, R Richards, M Kruijver, H Kelly, C McGovern, A Magee, ... Forensic Science International: Genetics 34, 11-24, 2018 | 95 | 2018 |
| Efficient computations with the likelihood ratio distribution M Kruijver Forensic Science International: Genetics 14, 116-124, 2015 | 35 | 2015 |
| A sensitivity analysis to determine the robustness of STRmix™ with respect to laboratory calibration H Kelly, JA Bright, M Kruijver, S Cooper, D Taylor, K Duke, M Strong, ... Forensic Science International: Genetics 35, 113-122, 2018 | 34 | 2018 |
| Estimating the number of contributors to a DNA profile using decision trees M Kruijver, H Kelly, K Cheng, MH Lin, J Morawitz, L Russell, J Buckleton, ... Forensic science international: genetics 50, 102407, 2021 | 29 | 2021 |
| Combining evidence across multiple mixed DNA profiles for improved resolution of a donor when a common contributor can be assumed D Taylor, M Kruijver Forensic Science International: Genetics 49, 102375, 2020 | 22 | 2020 |
| The efficacy of DNA mixture to mixture matching JA Bright, D Taylor, Z Kerr, J Buckleton, M Kruijver Forensic Science International: Genetics 41, 64-71, 2019 | 21 | 2019 |
| Evaluating DNA evidence possibly involving multiple (mixed) samples, common donors and related contributors M Kruijver, D Taylor, JA Bright Forensic Science International: Genetics 54, 102532, 2021 | 20 | 2021 |
| p-Values should not be used for evaluating the strength of DNA evidence M Kruijver, R Meester, K Slooten Forensic Science International: Genetics 16, 226-231, 2015 | 20 | 2015 |
| Optimal strategies for familial searching M Kruijver, R Meester, K Slooten Forensic Science International: Genetics 13, 90-103, 2014 | 20 | 2014 |
| Exploring the probative value of mixed DNA profiles M Kruijver, JA Bright, H Kelly, J Buckleton Forensic Science International: Genetics 41, 1-10, 2019 | 18 | 2019 |
| Are low LRs reliable? JS Buckleton, SN Pugh, JA Bright, DA Taylor, JM Curran, M Kruijver, P Gill, ... Forensic Science International: Genetics 49, 102350, 2020 | 16 | 2020 |
| Developmental validation of a software implementation of a flexible framework for the assignment of likelihood ratios for forensic investigations H Kelly, Z Kerr, K Cheng, M Kruijver, JA Bright Forensic Science International: Reports 4, 100231, 2021 | 11 | 2021 |
| Exploring likelihood ratios assigned for siblings of the true mixture contributor as an alternate contributor H Kelly, M Coble, M Kruijver, R Wivell, JA Bright Journal of Forensic Sciences 67 (3), 1167-1175, 2022 | 7 | 2022 |
| Inter-sample contamination detection using mixture deconvolution comparison D Taylor, E Rowe, M Kruijver, D Abarno, JA Bright, J Buckleton Forensic Science International: Genetics 40, 160-167, 2019 | 7 | 2019 |
| A tool for simulating single source and mixed DNA profiles M Kruijver, JA Bright Forensic Science International: Genetics 60, 102746, 2022 | 4 | 2022 |
| Calibration of STRmix LRs following the method of Hannig et al. JS Buckleton, M Kruijver, J Curran, JA Bright Institute of Environmental Science and Research, 2020 | 4 | 2020 |
| Characterizing the genetic structure of a forensic DNA database using a latent variable approach M Kruijver Forensic Science International: Genetics 23, 130-149, 2016 | 4 | 2016 |
| Carrying out common DNA donor analysis using DBLR™ on two or five-cell mini-mixture subsamples for improved discrimination power in complex DNA mixtures K Huffman, M Kruijver, J Ballantyne, D Taylor Forensic Science International: Genetics 66, 102908, 2023 | 3 | 2023 |
| The effect of a user selected number of contributors within the LR assignment H Kelly, JA Bright, M Kruijver, D Taylor, J Buckleton Australian Journal of Forensic Sciences 54 (4), 450-463, 2022 | 3 | 2022 |
| Exploring the DNA mixture deconvolution through simulation M Kruijver, JA Bright, H Kelly Australian Journal of Forensic Sciences 51 (sup1), S14-S17, 2019 | 3 | 2019 |
John BuckletonESRVerified email at esr.cri.nz
