Jakub Vrábel

488 total citations
18 papers, 336 citations indexed

About

Jakub Vrábel is a scholar working on Mechanics of Materials, Analytical Chemistry and Archeology. According to data from OpenAlex, Jakub Vrábel has authored 18 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanics of Materials, 17 papers in Analytical Chemistry and 6 papers in Archeology. Recurrent topics in Jakub Vrábel's work include Laser-induced spectroscopy and plasma (18 papers), Analytical chemistry methods development (13 papers) and Cultural Heritage Materials Analysis (6 papers). Jakub Vrábel is often cited by papers focused on Laser-induced spectroscopy and plasma (18 papers), Analytical chemistry methods development (13 papers) and Cultural Heritage Materials Analysis (6 papers). Jakub Vrábel collaborates with scholars based in Czechia, Belgium and United Kingdom. Jakub Vrábel's co-authors include Jozef Kaiser, Pavel Pořízka, Erik Képeš, David Procházka, Jan Novotný, Jakub Klus, Aleš Hrdlička, Pavlína Modlitbová, Karel Novotný and Milan Kaška and has published in prestigious journals such as Analytica Chimica Acta, Sensors and TrAC Trends in Analytical Chemistry.

In The Last Decade

Jakub Vrábel

17 papers receiving 319 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jakub Vrábel Czechia 12 282 246 81 49 43 18 336
Xutai Cui China 12 263 0.9× 214 0.9× 89 1.1× 51 1.0× 27 0.6× 23 343
Kai Wei China 13 245 0.9× 235 1.0× 63 0.8× 44 0.9× 22 0.5× 28 376
Ruthmara Corzo United States 10 71 0.3× 80 0.3× 168 2.1× 5 0.1× 20 0.5× 23 284
Timo Hyvärinen Finland 6 10 0.0× 54 0.2× 6 0.1× 2 0.0× 18 213
Carolyn Wightman United States 7 9 0.0× 67 0.3× 1 0.0× 28 0.7× 8 409
M. Zhao China 8 8 0.0× 29 0.1× 2 0.0× 30 177
Ioannis Katramados United Kingdom 8 12 0.0× 4 0.0× 27 0.6× 20 267
Hideo Yokoi Japan 10 25 0.1× 9 0.0× 4 0.1× 1 0.0× 24 333
Jitka Machalová Czechia 10 73 0.3× 3 0.0× 4 0.1× 26 261
Jinyang Zhang China 6 41 0.1× 30 0.1× 8 126

Countries citing papers authored by Jakub Vrábel

Since Specialization
Citations

This map shows the geographic impact of Jakub Vrábel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jakub Vrábel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub Vrábel more than expected).

Fields of papers citing papers by Jakub Vrábel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jakub Vrábel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jakub Vrábel. The network helps show where Jakub Vrábel may publish in the future.

Co-authorship network of co-authors of Jakub Vrábel

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Vrábel. A scholar is included among the top collaborators of Jakub Vrábel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jakub Vrábel. Jakub Vrábel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Vrábel, Jakub, et al.. (2025). On the non-universality of distance metrics in laser-induced breakdown spectroscopy. Journal of Analytical Atomic Spectrometry. 40(6). 1552–1565.
2.
Saeidfirozeh, Homa, Petr Kubelík, Jakub Vrábel, et al.. (2024). Laser-induced breakdown spectroscopy in space applications: Review and prospects. TrAC Trends in Analytical Chemistry. 181. 117991–117991. 8 indexed citations
3.
Képeš, Erik, Homa Saeidfirozeh, Jakub Vrábel, et al.. (2024). Interpreting neural networks trained to predict plasma temperature from optical emission spectra. Journal of Analytical Atomic Spectrometry. 39(4). 1160–1174. 4 indexed citations
4.
Vrábel, Jakub, et al.. (2023). Spectral library transfer between distinct laser-induced breakdown spectroscopy systems trained on simultaneous measurements. Journal of Analytical Atomic Spectrometry. 38(4). 841–853. 10 indexed citations
5.
Képeš, Erik, Jakub Vrábel, Panagiotis Siozos, et al.. (2023). Quantification of alloying elements in steel targets: The LIBS 2022 regression contest. Spectrochimica Acta Part B Atomic Spectroscopy. 206. 106710–106710. 11 indexed citations
6.
Képeš, Erik, Jakub Vrábel, Tomǎš Brázdil, et al.. (2023). Interpreting convolutional neural network classifiers applied to laser-induced breakdown optical emission spectra. Talanta. 266(Pt 1). 124946–124946. 12 indexed citations
7.
Képeš, Erik, Jakub Vrábel, Pavel Pořízka, & Jozef Kaiser. (2022). Improving laser-induced breakdown spectroscopy regression modelsviatransfer learning. Journal of Analytical Atomic Spectrometry. 37(9). 1883–1893. 15 indexed citations
8.
Vrábel, Jakub, et al.. (2022). Analysis of Laser-Induced Breakdown Spectroscopy Data Acquired from Boundary of Two Matrices. Applied Spectroscopy. 76(8). 917–925. 5 indexed citations
9.
Vrábel, Jakub, et al.. (2021). Imaging margins of skin tumors using laser-induced breakdown spectroscopy and machine learning. Journal of Analytical Atomic Spectrometry. 36(5). 909–916. 38 indexed citations
10.
Képeš, Erik, Jakub Vrábel, Pavel Pořízka, & Jozef Kaiser. (2021). Addressing the sparsity of laser-induced breakdown spectroscopy data with randomized sparse principal component analysis. Journal of Analytical Atomic Spectrometry. 36(7). 1410–1421. 12 indexed citations
11.
Pořízka, Pavel, Pavlína Modlitbová, Milan Kaška, et al.. (2021). Methodology for the Implementation of Internal Standard to Laser-Induced Breakdown Spectroscopy Analysis of Soft Tissues. Sensors. 21(3). 900–900. 15 indexed citations
12.
Képeš, Erik, Jakub Vrábel, Ondřej Adamovský, et al.. (2021). Interpreting support vector machines applied in laser-induced breakdown spectroscopy. Analytica Chimica Acta. 1192. 339352–339352. 19 indexed citations
13.
Képeš, Erik, et al.. (2020). Benchmark classification dataset for laser-induced breakdown spectroscopy. Scientific Data. 7(1). 53–53. 25 indexed citations
14.
Vrábel, Jakub, Pavel Pořízka, & Jozef Kaiser. (2020). Restricted Boltzmann Machine method for dimensionality reduction of large spectroscopic data. Spectrochimica Acta Part B Atomic Spectroscopy. 167. 105849–105849. 22 indexed citations
15.
Vrábel, Jakub, Erik Képeš, Ludovic Duponchel, et al.. (2020). Classification of challenging Laser-Induced Breakdown Spectroscopy soil sample data - EMSLIBS contest. Spectrochimica Acta Part B Atomic Spectroscopy. 169. 105872–105872. 47 indexed citations
16.
Camacho, J.J., Jakub Vrábel, Sadia Manzoor, et al.. (2019). Spatiotemporal diagnostics of laser induced plasma of potassium gallosilicate zeolite. Journal of Analytical Atomic Spectrometry. 34(6). 1247–1255. 7 indexed citations
17.
Vrábel, Jakub, Pavel Pořízka, Jakub Klus, et al.. (2018). Classification of materials for selective laser melting by laser-induced breakdown spectroscopy. Chemical Papers. 73(12). 2897–2905. 12 indexed citations
18.
Pořízka, Pavel, Jakub Klus, Aleš Hrdlička, et al.. (2016). Impact of Laser-Induced Breakdown Spectroscopy data normalization on multivariate classification accuracy. Journal of Analytical Atomic Spectrometry. 32(2). 277–288. 74 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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