| Principal component analysis S Wold, K Esbensen, P Geladi Chemometrics and intelligent laboratory systems 2 (1-3), 37-52, 1987 | 14561 | 1987 |
| Partial least-squares regression: a tutorial P Geladi, BR Kowalski Analytica chimica acta 185, 1-17, 1986 | 9165 | 1986 |
| Multi-way analysis: applications in the chemical sciences AK Smilde, R Bro, P Geladi John Wiley & Sons, 2005 | 1703 | 2005 |
| Multi‐way principal components‐and PLS‐analysis S Wold, P Geladi, K Esbensen, J Öhman Journal of chemometrics 1 (1), 41-56, 1987 | 975 | 1987 |
| Techniques and applications of hyperspectral image analysis H Grahn, P Geladi John Wiley & Sons, 2007 | 641 | 2007 |
| Multivariate image analysis P Geladi, HF Grahn Encyclopedia of Analytical Chemistry: Applications, Theory and Instrumentation, 2006 | 590 | 2006 |
| Chemometrics in spectroscopy. Part 1. Classical chemometrics P Geladi Spectrochimica Acta Part B: Atomic Spectroscopy 58 (5), 767-782, 2003 | 501 | 2003 |
| The kernel algorithm for PLS F Lindgren, P Geladi, S Wold Journal of Chemometrics 7 (1), 45-59, 1993 | 460 | 1993 |
| Notes on the history and nature of partial least squares (PLS) modelling P Geladi Journal of Chemometrics 2 (4), 231-246, 1988 | 458 | 1988 |
| A PLS kernel algorithm for data sets with many variables and fewer objects. Part 1: Theory and algorithm S Rännar, F Lindgren, P Geladi, S Wold Journal of Chemometrics 8 (2), 111-125, 1994 | 435 | 1994 |
| Notes on the history and nature of partial least squares (pls) modeling P Galadi Journal of chemometrics 2 (4), 231-246, 1988 | 8 | 1988 |
| The kernel algorithm for PLS L Fredrik, G Paul, W Svante Journal of Chemometrics 7, 1, 1993 | 3 | 1993 |
| Hyperspectral Imaging and Analysis P Geladi, J Linderholm, A Vidman Encyclopedia of Analytical Chemistry: Applications, Theory and …, 2006 | 1 | 2006 |
| Multivariate Image Analysis- A new strategy for image classification N FAUST, A GERNAZIAN, P GELADI, KIM ESBENSEN 1990 ACSM-ASPRS Fall Convention, Anaheim, CA, 1990 | 1 | 1990 |
| Super-resolution Raman mapping of living cells exposed to submicron polystyrene particles L Ahlinder, S Wiklund Lindström, C Lejon, P Geladi, L Österlund | | 2015 |
| Understanding principal component analysis (PCA) is the responsibility of the data analyst—PCA is not an automatic shotgun solution for all data matrices KH Esbensen, P Geladi, A Larsen NIR news 25 (1), 23-26, 2014 | | 2014 |
| Assessment of PCDD/F Source Contributions in Baltic Sea Sediment Core Records T Mats, S Anna, G Paul, W Karin | | 2014 |
| Beauty is only skin deep—especially when imaging in the near infrared KH Esbensen, P Geladi, A Larsen NIR news 23 (8), 18-23, 2012 | | 2012 |
| Receptor Modeling of PCDD/FS in Sediment of the Sundsvall Bay, Sweden K Sundqvist, M Tysklind, R Andersson, V Sjöblom, I Cato, P Geladi, ... Organohalogen Compounds 70 (1641-4), 2008 | | 2008 |
| The importance of raw data S Wold, P Geladi Chemometrics and Intelligent Laboratory Systems 22 (1), 1-2, 1994 | | 1994 |
