Michael Netzer
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
Papers in
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- Metabolomics and Mass Spectrometry Studies 12
- Gene expression and cancer classification 9
- Bioinformatics and Genomic Networks 9
- Machine Learning in Bioinformatics 3
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Christian Baumgärtner (24 shared papers)Melanie Osl (8 shared papers)Bernhard Pfeifer (9 shared papers)Daniela Baumgartner (1 shared paper)Armin Graber (5 shared papers)J. Villinger (2 shared papers)Siegfried Praun (2 shared papers)Gunda Millonig (2 shared papers)
- Journals
- Bioinformatics (2 papers)PLoS ONE (2 papers)Online Learning (1 paper)Biology Direct (1 paper)International Journal of Artificial Intelligence in Education (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Michael Netzer
32 papers receiving 427 citations
Peers
Comparison fields: 5 of 100
- Spectroscopy 75
- Molecular Biology 253
- Computational Theory and Mathematics 43
- Health Information Management 9
- Clinical Biochemistry 12
Countries citing papers authored by Michael Netzer
This map shows the geographic impact of Michael Netzer'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 Michael Netzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Netzer more than expected).
Fields of papers citing papers by Michael Netzer
This network shows the impact of papers produced by Michael Netzer. 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 Michael Netzer. The network helps show where Michael Netzer may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Netzer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 69 | |
| 2 | 2011 | 58 | |
| 3 | 2013 | 42 | |
| 4 | 2011 | 37 | |
| 5 | 2011 | 37 | |
| 6 | 2010 | 32 | |
| 7 | 2010 | 30 | |
| 8 | 2012 | 24 | |
| 9 | 2011 | 17 | |
| 10 | 2009 | 16 | |
| 11 | 2012 | 14 | |
| 12 | 2012 | 14 | |
| 13 | 2015 | 12 | |
| 14 | 2023 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2009 | 5 | |
| 17 | 2010 | 4 | |
| 18 | 2012 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2019 | 3 |
About Michael Netzer
Michael Netzer is a scholar working on Molecular Biology, Spectroscopy, Artificial Intelligence, Computer Science Applications and Biomedical Engineering, having authored 35 papers that have together received 452 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (12 papers), Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (9 papers), Advanced Chemical Sensor Technologies (4 papers), Online Learning and Analytics (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Machine Learning in Bioinformatics (3 papers) and Online and Blended Learning (2 papers). The work is most often cited by research in Spectroscopy (75 citations), Molecular Biology (253 citations), Computational Theory and Mathematics (43 citations), Health Information Management (9 citations) and Clinical Biochemistry (12 citations). Michael Netzer has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Christian Baumgärtner, Melanie Osl, Bernhard Pfeifer, Daniela Baumgartner, Armin Graber, J. Villinger, Siegfried Praun, Gunda Millonig, Klaus M. Weinberger and Karl Kugler. Their work appears in journals such as Bioinformatics, PLoS ONE, Online Learning, Biology Direct and International Journal of Artificial Intelligence in Education.
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.