Erik Képeš

Engineering · Physical Sciences

14h-index659citations45works5.42yr avg
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Research Topics

Laser-induced spectroscopy and plasma(28), Analytical chemistry methods development(19), Cultural Heritage Materials Analysis(8), Mass Spectrometry Techniques and Applications(6), Mercury impact and mitigation studies(6)

Publications45 total

Many-to-many transfer of LIBS spectra across multiple experimental conditions
Journal of Analytical Atomic Spectrometry·2026Open Access
Qualitative Analysis in LIBS
2025
On the non-universality of distance metrics in laser-induced breakdown spectroscopy
Journal of Analytical Atomic Spectrometry·2025· 1 citedOpen Access
Laser-induced breakdown spectroscopy in space applications: Review and prospects
TrAC Trends in Analytical Chemistry·2024· 23 citedOpen Access
Assessing spatial distribution of bioindicator elements in various cutaneous tumors using correlative imaging with laser-ablation-based analytical methods
Talanta·2024· 6 cited
Correlative Imaging Approaches to Bioindicator Element Distribution in Skin Tumors
2024
Interpreting neural networks trained to predict plasma temperature from optical emission spectra
Journal of Analytical Atomic Spectrometry·2024· 6 citedOpen Access
Automated detection of element-specific features in LIBS spectra
Journal of Analytical Atomic Spectrometry·2024· 7 citedOpen Access
Interpreting convolutional neural network classifiers applied to laser-induced breakdown optical emission spectra
Talanta·2023· 18 cited
Quantification of alloying elements in steel targets: The LIBS 2022 regression contest
Spectrochimica Acta Part B Atomic Spectroscopy·2023· 24 citedOpen Access
Machine Learning in the Context of<scp>Laser‐Induced</scp>Breakdown Spectroscopy
2023· 4 citedOpen Access
Chemometric Processing of <scp>LIBS</scp> Data
2023· 1 citedOpen Access
Spectral library transfer between distinct laser-induced breakdown spectroscopy systems trained on simultaneous measurements
Journal of Analytical Atomic Spectrometry·2023· 15 citedOpen Access
Artificial Neural Networks for Classification
2022· 6 cited
Mechanical and thermal design of the target neutral beam absorber for the High-Luminosity LHC upgrade
Physical Review Accelerators and Beams·2022· 5 citedOpen Access
train_dataset_RAW
Figshare·2022Open Access
Improving laser-induced breakdown spectroscopy regression models<i>via</i>transfer learning
Journal of Analytical Atomic Spectrometry·2022· 20 cited
test_dataset.csv
Figshare·2022Open Access
ANN-LIBS analysis of mixture plasmas: detection of xenon
Journal of Analytical Atomic Spectrometry·2022· 13 citedOpen Access
Wavelengths
Figshare·2022Open Access
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Frequent Co-authors

Pavel Pořízka(36), Jozef Kaiser(31), Jakub Vrábel(25), David Procházka(4), Jakub Buday(4), Jakub Klus(3), Homa Saeidfirozeh(3), Petr Kubelík(3), Vojtěch Laitl(3), Igor B. Gornushkin(3), Martin Ferus(3), Andreas Limbeck(3), Jan Novotný(2), Karel Novotný(2), Sára Střítežská(2), Pavlína Modlitbová(2), Antonín Záděra(2), Anna Křivková(2), P. Nedělník(2), Kateřina Kiss(2)