Michaela Dvorzak

408 citations
5 papers · 273 · h-index 4

Impact in

  • Spectroscopy top 10%
    • Analytical Chemistry and Chromatography
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Metabolomics and Mass Spectrometry Studies
    • Gut microbiota and health
    • Bioinformatics and Genomic Networks

Papers in

Michaela Dvorzak

5 papers receiving 272 citations

Peers

Michaela Dvorzak
Comparison fields: 5 of 95
  • Spectroscopy 71
  • Molecular Biology 183
  • Biomedical Engineering 67
  • Analytical Chemistry 14
  • Health, Toxicology and Mutagenesis 18
Replace Riccardo Di Guida with:
Riccardo Di Guida United Kingdom
B. Álvarez-Sánchez Spain
Kelly H. Telu United States
Céline Brouard France
Huaxu Yu Canada
Harrie J. Kools Netherlands
Vinicius Verri Hernandes Italy
Rick Reisdorph United States
Thierry Umbdenstock France
Pierre Barbier Saint Hilaire France
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Citations per field
00.5×1.5×
Riccardo Di Guida · 1×
Citations per year

Countries citing papers authored by Michaela Dvorzak

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Dvorzak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Michaela Dvorzak, 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 Michaela Dvorzak Line = papers co-authored together Michaela Dvorzak links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2015245
2 201519
3 20224
4 20203
5 20202

About Michaela Dvorzak

Michaela Dvorzak is a scholar working on Civil and Structural Engineering, Molecular Biology, Automotive Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 5 papers that have together received 273 indexed citations. Recurring topics across this work include Engineering Applied Research (2 papers), Vehicle emissions and performance (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Statistical Methods and Bayesian Inference (1 paper), Advanced Sensor Technologies Research (1 paper), Electronic Packaging and Soldering Technologies (1 paper), Statistical Methods and Inference (1 paper) and Bayesian Methods and Mixture Models (1 paper). The work is most often cited by research in Spectroscopy (71 citations), Molecular Biology (183 citations), Biomedical Engineering (67 citations), Analytical Chemistry (14 citations) and Health, Toxicology and Mutagenesis (18 citations). Michaela Dvorzak has collaborated with scholars based in Austria, Germany and Belgium. Frequent co-authors include Ulrike Kleb, Tobias Eisenberg, Gert Trausinger, Steffen Neumann, Frank Sinner, Frank Madeo, Christoph Magnes, Thomas R. Pieber, Helga Wagner and Elke Kraker. Their work appears in journals such as Statistical Modelling, Applied Sciences, BMC Bioinformatics and Zenodo (CERN European Organization for Nuclear Research).

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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