M. Daszykowski

4.1k citations
79 papers · 3.1k · h-index 29

Impact in

Papers in

M. Daszykowski

79 papers receiving 3.1k citations

Peers

M. Daszykowski
Comparison fields: 5 of 187
  • Analytical Chemistry 1.3k
  • Biophysics 284
  • Spectroscopy 613
  • Complementary and alternative medicine 177
  • Industrial and Manufacturing Engineering 172
Replace Курт Вармуза with:
Курт Вармуза Austria
J. Smeyers–Verbeke Belgium
Davide Ballabio Italy
William S. Rayens United States
Alexey L. Pomerantsev Russia
Itziar Ruisánchez Spain
Oxana Ye. Rodionova Russia
Sabina Bijlsma Netherlands
Lionel Blanchet Netherlands
Hongmei Lü China
M. Daszykowski relative to Курт Вармуза Austria Курт Вармуза's profile →
Citations per field
00.5×4.1×
Курт Вармуза · 1×
Citations per year

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-authors

The 25 scholars most cited alongside M. Daszykowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Daszykowski Line = papers co-authored together M. Daszykowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002259
2 2006258
3 2012212
4 2001192
5 2006167
6 2006134
7 2006108
8 200699
9 200298
10 201494
11 200586
12 200272
13 200359
14 200656
15 200852
16 200748
17 200748
18 200747
19 200446
20 201845

About M. Daszykowski

M. Daszykowski is a scholar working on Analytical Chemistry, Spectroscopy, Molecular Biology, Biomedical Engineering and Biophysics, having authored 79 papers that have together received 3.1k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (48 papers), Analytical Chemistry and Chromatography (24 papers), Metabolomics and Mass Spectrometry Studies (16 papers), Advanced Chemical Sensor Technologies (11 papers), Computational Drug Discovery Methods (10 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Advanced Statistical Methods and Models (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Analytical Chemistry (1.3k citations), Biophysics (284 citations), Spectroscopy (613 citations), Complementary and alternative medicine (177 citations) and Industrial and Manufacturing Engineering (172 citations). M. Daszykowski has collaborated with scholars based in Poland, Belgium and France. Frequent 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 P. Van Espen. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Talanta, Journal of Chromatography A, Analytica Chimica Acta and Journal of Pharmaceutical and Biomedical Analysis.

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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