| ENFSI guideline for evaluative reporting in forensic science CCG Aitken, A Barrett, CEH Berger, A Biedermann, C Champod, TN Hicks, ... | 182 | 2015 |
| Statistical analysis in forensic science: evidential value of multivariate physicochemical data G Zadora, A Martyna, D Ramos, C Aitken John Wiley & Sons, 2013 | 177 | 2013 |
| Expressing evaluative opinions: a position statement CEH Berger, J Buckleton, C Champod, IW Evett, G Jackson Sci Justice 51 (1), 1-2, 2011 | 147 | 2011 |
| Information‐theoretical assessment of the performance of likelihood ratio computation methods D Ramos, J Gonzalez‐Rodriguez, G Zadora, C Aitken Journal of forensic sciences 58 (6), 1503-1518, 2013 | 113 | 2013 |
| SEM–EDX—a useful tool for forensic examinations G Zadora, Z Brożek-Mucha Materials chemistry and physics 81 (2-3), 345-348, 2003 | 113 | 2003 |
| A two‐level model for evidence evaluation CGG Aitken, G Zadora, D Lucy Journal of forensic sciences 52 (2), 412-419, 2007 | 110 | 2007 |
| In the pursuit of the holy grail of forensic science–Spectroscopic studies on the estimation of time since deposition of bloodstains G Zadora, A Menżyk TrAC Trends in Analytical Chemistry 105, 137-165, 2018 | 77 | 2018 |
| Evaluation of glass samples for forensic purposes—an application of likelihood ratios and an information–theoretical approach G Zadora, D Ramos Chemometrics and Intelligent Laboratory Systems 102 (2), 63-83, 2010 | 72 | 2010 |
| Pyrolysis-gas chromatography/mass spectrometry analysis as a useful tool in forensic examination of automotive paint traces J Zięba-Palus, G Zadora, JM Milczarek, P Kościelniak Journal of Chromatography A 1179 (1), 41-46, 2008 | 64 | 2008 |
| Classification of glass fragments based on elemental composition and refractive index G Zadora Journal of forensic sciences 54 (1), 49-59, 2009 | 59 | 2009 |
| The influence of the type of accelerant, type of burned material, time of burning and availability of air on the possibility of detection of accelerants traces R Borusiewicz, J Zięba-Palus, G Zadora Forensic science international 160 (2-3), 115-126, 2006 | 57 | 2006 |
| Evaluation of transfer evidence for three-level multivariate data with the use of graphical models CGG Aitken, D Lucy, G Zadora, JM Curran Computational statistics & data analysis 50 (10), 2571-2588, 2006 | 56 | 2006 |
| Interpretation of FTIR spectra of polymers and Raman spectra of car paints by means of likelihood ratio approach supported by wavelet transform for reducing data dimensionality A Martyna, A Michalska, G Zadora Analytical and Bioanalytical Chemistry 407, 3357-3376, 2015 | 52 | 2015 |
| Likelihood ratio model for classification of forensic evidence G Zadora, T Neocleous Analytica Chimica Acta 642 (1-2), 266-278, 2009 | 51 | 2009 |
| Application of head-space analysis with passive adsorption for forensic purposes in the automated thermal desorption-gas chromatography-mass spectrometry system R Borusiewicz, G Zadora, J Zieba-Palus Chromatographia 60, S133-S142, 2004 | 51 | 2004 |
| Evaluation of evidence value of glass fragments by likelihood ratio and Bayesian Network approaches G Zadora Analytica chimica acta 642 (1-2), 279-290, 2009 | 46 | 2009 |
| Grouping of ammunition types by means of frequencies of occurrence of GSR Z Brożek-Mucha, G Zadora Forensic science international 135 (2), 97-104, 2003 | 44 | 2003 |
| Glass analysis for forensic purposes—a comparison of classification methods G Zadora Journal of Chemometrics: A Journal of the Chemometrics Society 21 (5‐6), 174-186, 2007 | 43 | 2007 |
| A comment on the PCAST report: skip the “match”/“non-match” stage GS Morrison, DH Kaye, DJ Balding, D Taylor, P Dawid, CGG Aitken, ... Forensic Science International 272, e7-e9, 2017 | 41 | 2017 |
| Information-theoretical feature selection using data obtained by Scanning Electron Microscopy coupled with and Energy Dispersive X-ray spectrometer for the classification of … D Ramos, G Zadora Analytica chimica acta 705 (1-2), 207-217, 2011 | 40 | 2011 |
