| Mathematical processing of spectral data in analytical chemistry: a guide to error analysis J Dubrovkin Cambridge Scholars Publishing, 2019 | 22 | 2019 |
| Derivative Spectroscopy J Dubrovkin Cambridge Scholars Publishing, 2020 | 16 | 2020 |
| Evaluation of undetectable perturbations of peak parameters estimated by the least square curve fitting of analytical signal consisting of overlapping peaks J Dubrovkin Chemometrics and Intelligent Laboratory Systems 153, 9-21, 2016 | 12 | 2016 |
| Critical analysis of spectral deconvolution methods J Dubrovkin International Journal of Emerging Technologies in Computational and Applied …, 2014 | 9 | 2014 |
| Investigation of filtering properties of polynomial methods of differentiating spectra IM Dubrovkin, SV Zubarev Zavod. Lab. 45 (5), 414-416, 1979 | 8 | 1979 |
| Kinetics of Anti‐Kasha Photoreactions. Direct Excitation of a Higher Excited State VI Tomin, JM Dubrovkin ChemistrySelect 2 (27), 8354-8361, 2017 | 7 | 2017 |
| Data Compression in Spectroscopy J Dubrovkin Cambridge Scholars Publishing, 2022 | 6 | 2022 |
| Evaluation of the peak location uncertainty in second-order derivative spectra. Case study: Symmetrical lines J Dubrovkin Journal of Emerging Technologies in Computational and Applied Sciences 3, 9, 2014 | 6 | 2014 |
| Evaluation of the peak location uncertainty in spectra. Case study: symmetrical lines J Dubrovkin Journal of Emerging Technologies in Computational and Applied Sciences 1, 7, 2014 | 6 | 2014 |
| Identification of peak positions using second-order derivative spectra and Tikhonov deconvolution method. Comparison study J Dubrovkin Int. J. Emerg. Technol. Comput. Appl. Sci 8 (1), 192-197, 2014 | 6 | 2014 |
| Analytical derivative spectrometry using computers JM Dubrovkin Problems of Analytical Chemistry, 50-57, 1989 | 6 | 1989 |
| Chemical analysis with the use of the mathematical differentiation J Dubrovkin Zhurnal. Analiticheskoi. Khimii 43, 965-979, 1988 | 6 | 1988 |
| Mathematical Methods for Separation of Overlapping Asymmetrical Peaks in Spectroscopy and Chromatography. Case study: One-Dimensional Signals J Dubrovkin International Journal of Emerging Technologies in Computational and Applied …, 2015 | 5 | 2015 |
| Big Data approach to analytical chemistry J Dubrovkin International Journal of Emerging Technologies in Computational and Applied …, 2014 | 5 | 2014 |
| Data Analytics in Spectroscopy J Dubrovkin Cambridge Scholars Publishing, 2024 | 4 | 2024 |
| A Novel Compression Method of Spectral Data Matrix Based on the Low-Rank Approximation and the Fast Fourier Transform of the Singular Vectors J Dubrovkin Applied Spectroscopy 76 (3), 369-378, 2022 | 4 | 2022 |
| Analytical approximation of the deconvolution of strongly overlapping broad fluorescence bands JM Dubrovkin, VI Tomin, DV Ushakou Journal of Applied Spectroscopy 83, 534-540, 2016 | 4 | 2016 |
| Spectral broadening and red edge excitation effect in liquid and viscous solutions of DMABN VI Tomin, JM Dubrovkin, A Włodarkiewicz Journal of Luminescence 190, 344-352, 2017 | 3 | 2017 |
| Linear transformations of multivariate calibration models in near infrared spectroscopy: A comparative study J Dubrovkin Journal of Near Infrared Spectroscopy 25 (4), 223-230, 2017 | 3 | 2017 |
| Error analysis in determining parameters of overlapping peaks using separation of complex spectra into individual components. Case study: quartets J Dubrovkin International Journal of Emerging Technologies in Computational and Applied …, 2015 | 3 | 2015 |
