Michael Netzer
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- Analytical Chemistry and Chromatography 3
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- Metabolomics and Mass Spectrometry Studies 10
- Bioinformatics and Genomic Networks 10
- Gene expression and cancer classification 7
- Machine Learning in Bioinformatics 4
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- Computational Drug Discovery Methods 3
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- Online Learning and Analytics 4
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- Advanced Chemical Sensor Technologies 3
- Co-authors
- Christian BaumgärtnerMelanie OslBernhard PfeiferDaniela BaumgartnerArmin GraberSiegfried PraunGunda MillonigJ. Villinger
- Journals
- Bioinformatics (2 papers)PLoS ONE (2 papers)International Journal of Artificial Intelligence in Education (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Michael Netzer
27 papers receiving 367 citations
Peers
Comparison fields: 5 of 99
- Spectroscopy 64
- Molecular Biology 229
- Computational Theory and Mathematics 40
- Health Information Management 11
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 2 | |
| 4 | 2020 | 6 | |
| 5 | 2020 | 1 | |
| 6 | 2019 | 3 | |
| 7 | 2019 | 0 | |
| 8 | 2015 | 10 | |
| 9 | 2013 | 41 | |
| 10 | A Coupled Three-Step Network-Based Approach to Identify Genes Associated with Breast Cancer | 2012 | 2 |
| 11 | 2012 | 22 | |
| 12 | 2012 | 12 | |
| 13 | 2011 | 14 | |
| 14 | 2011 | 37 | |
| 15 | 2011 | 34 | |
| 16 | 2011 | 50 | |
| 17 | 2010 | 4 | |
| 18 | 2009 | 2 | |
| 19 | 2009 | 13 | |
| 20 | 2009 | 5 |
About Michael Netzer
Michael Netzer is a scholar working on Computer Science Applications, Critical Care and Intensive Care Medicine, Spectroscopy, Molecular Biology and Modeling and Simulation, having authored 30 papers that have together received 390 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (10 papers), Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (7 papers), Online Learning and Analytics (4 papers), Machine Learning in Bioinformatics (4 papers), Analytical Chemistry and Chromatography (3 papers), Computational Drug Discovery Methods (3 papers) and Advanced Chemical Sensor Technologies (3 papers). The work is most often cited by research in Spectroscopy (64 citations), Molecular Biology (229 citations), Computational Theory and Mathematics (40 citations), Health Information Management (11 citations) and Clinical Biochemistry (12 citations). Michael Netzer has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Christian Baumgärtner, Melanie Osl, Bernhard Pfeifer, Daniela Baumgartner, Armin Graber, Siegfried Praun, Gunda Millonig, J. Villinger, Karl Kugler and Xiaocong Fang. Their work appears in journals such as Bioinformatics, PLoS ONE, International Journal of Artificial Intelligence in Education, Biomarkers and Journal of Theoretical Biology.
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.