M. Daszykowski

4.1k total citations
79 papers, 3.1k citations indexed

About

M. Daszykowski is a scholar working on Analytical Chemistry, Spectroscopy and Molecular Biology. According to data from OpenAlex, M. Daszykowski has authored 79 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Analytical Chemistry, 27 papers in Spectroscopy and 26 papers in Molecular Biology. Recurrent topics in M. Daszykowski's work include Spectroscopy and Chemometric Analyses (48 papers), Analytical Chemistry and Chromatography (24 papers) and Metabolomics and Mass Spectrometry Studies (16 papers). M. Daszykowski is often cited by papers focused on Spectroscopy and Chemometric Analyses (48 papers), Analytical Chemistry and Chromatography (24 papers) and Metabolomics and Mass Spectrometry Studies (16 papers). M. Daszykowski collaborates with scholars based in Poland, Belgium and France. M. Daszykowski's co-authors include Beata Walczak, Yvan Vander Heyden, D.L. Massart, Krzysztof Kaczmarek, I. Stanimirova, D.L. Massart, Thanh N. Tran, A.M. van Nederkassel, Paul H.C. Eilers and Sven Serneels and has published in prestigious journals such as Journal of Chromatography A, Fuel and Molecules.

In The Last Decade

M. Daszykowski

79 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Daszykowski Poland 29 1.3k 905 613 507 353 79 3.1k
Курт Вармуза Austria 26 1.1k 0.9× 782 0.9× 671 1.1× 1.1k 2.2× 251 0.7× 112 4.0k
Peter de B. Harrington United States 38 1.8k 1.4× 1.3k 1.4× 1.4k 2.3× 1.5k 3.0× 292 0.8× 197 5.0k
William S. Rayens United States 19 1.2k 0.9× 901 1.0× 230 0.4× 689 1.4× 253 0.7× 38 3.2k
Giorgio Tomasi Denmark 17 953 0.7× 1.1k 1.2× 699 1.1× 554 1.1× 124 0.4× 36 2.9k
Claus A. Andersson United Kingdom 13 1.0k 0.8× 548 0.6× 494 0.8× 399 0.8× 175 0.5× 16 2.5k
Qing‐Song Xu China 25 3.0k 2.3× 804 0.9× 280 0.5× 1.1k 2.1× 210 0.6× 47 4.0k
Jem J. Rowland United Kingdom 22 741 0.6× 1.8k 2.0× 395 0.6× 569 1.1× 206 0.6× 30 3.2k
Sijmen de Jong Netherlands 21 2.2k 1.7× 665 0.7× 345 0.6× 713 1.4× 290 0.8× 31 4.3k
Lionel Blanchet Netherlands 26 1.0k 0.8× 975 1.1× 360 0.6× 687 1.4× 149 0.4× 46 2.6k
Davide Ballabio Italy 35 1.6k 1.3× 1.3k 1.4× 610 1.0× 1.2k 2.4× 377 1.1× 122 5.3k

Countries citing papers authored by M. Daszykowski

Since Specialization
Citations

This map shows the geographic impact of M. Daszykowski'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 M. Daszykowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Daszykowski more than expected).

Fields of papers citing papers by M. Daszykowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Daszykowski. 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 M. Daszykowski. The network helps show where M. Daszykowski may publish in the future.

Co-authorship network of co-authors of M. Daszykowski

This figure shows the co-authorship network connecting the top 25 collaborators of M. Daszykowski. A scholar is included among the top collaborators of M. Daszykowski 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 M. Daszykowski. M. Daszykowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Daszykowski, M., et al.. (2024). Toward more efficient and effective color quality control for the large‐scale offset printing process. Journal of Chemometrics. 38(4). 1 indexed citations
2.
Daszykowski, M., M.‐R. Kula, & I. Stanimirova. (2023). Quantification and Detection of Ground Garlic Adulteration Using Fourier-Transform Near-Infrared Reflectance Spectra. Foods. 12(18). 3377–3377. 3 indexed citations
3.
Stanimirova, I., et al.. (2019). Detecting chemical markers to uncover counterfeit rebated excise duty diesel oil. Talanta. 204. 229–237. 5 indexed citations
4.
5.
Custers, Deborah, et al.. (2016). Chemometrics and the identification of counterfeit medicines—A review. Journal of Pharmaceutical and Biomedical Analysis. 127. 112–122. 32 indexed citations
6.
7.
Stanimirova, I., et al.. (2014). Detection of discoloration in diesel fuel based on gas chromatographic fingerprints. Analytical and Bioanalytical Chemistry. 407(4). 1159–1170. 18 indexed citations
8.
Bąk, Andrzej, M. Daszykowski, Zbigniew J. Kamiński, et al.. (2014). Probing an Artificial Polypeptide Receptor Library Using a Series of Novel Histamine H3 Receptor Ligands. Combinatorial Chemistry & High Throughput Screening. 17(2). 141–156. 2 indexed citations
9.
Daszykowski, M., Dalene de Beer, Elizabeth Joubert, et al.. (2014). Modeling of the total antioxidant capacity of rooibos (Aspalathus linearis) tea infusions from chromatographic fingerprints and identification of potential antioxidant markers. Journal of Chromatography A. 1366. 101–109. 21 indexed citations
10.
Sacré, Pierre‐Yves, Eric Deconinck, M. Daszykowski, et al.. (2011). Impurity fingerprints for the identification of counterfeit medicines—A feasibility study. Analytica Chimica Acta. 701(2). 224–231. 37 indexed citations
11.
Daszykowski, M., Yvan Vander Heyden, C. Boucon, & Beata Walczak. (2010). Automated alignment of one-dimensional chromatographic fingerprints. Journal of Chromatography A. 1217(40). 6127–6133. 38 indexed citations
12.
13.
Deconinck, Eric, A.M. van Nederkassel, I. Stanimirova, et al.. (2008). Isotopic ratios to detect infringements of patents or proprietary processes of pharmaceuticals: Two case studies. Journal of Pharmaceutical and Biomedical Analysis. 48(1). 27–41. 26 indexed citations
14.
Daszykowski, M. & Beata Walczak. (2007). Target selection for alignment of chromatographic signals obtained using monochannel detectors. Journal of Chromatography A. 1176(1-2). 1–11. 48 indexed citations
15.
Daszykowski, M., et al.. (2007). Start-to-end processing of two-dimensional gel electrophoretic images. Journal of Chromatography A. 1158(1-2). 306–317. 47 indexed citations
16.
Stanimirova, I., M. Daszykowski, & Beata Walczak. (2006). Dealing with missing values and outliers in principal component analysis. Talanta. 72(1). 172–178. 108 indexed citations
17.
Daszykowski, M., I. Stanimirova, Beata Walczak, et al.. (2005). Improving QSAR models for the biological activity of HIV Reverse Transcriptase inhibitors: Aspects of outlier detection and uninformative variable elimination. Talanta. 68(1). 54–60. 19 indexed citations
18.
Nederkassel, A.M. van, M. Daszykowski, D.L. Massart, & Yvan Vander Heyden. (2005). Prediction of total green tea antioxidant capacity from chromatograms by multivariate modeling. Journal of Chromatography A. 1096(1-2). 177–186. 86 indexed citations
19.
Stanimirova, I., M. Daszykowski, D.L. Massart, et al.. (2005). Chemometrical exploration of the wet precipitation chemistry from the Austrian Monitoring Network (1988–1999). Journal of Environmental Management. 74(4). 349–363. 11 indexed citations
20.
Daszykowski, M., et al.. (2004). Density-based clustering for exploration of analytical data. Analytical and Bioanalytical Chemistry. 380(3). 370–372. 14 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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