Michael Netzer

586 citations
34 papers · 464 · h-index 13

Impact in

  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Metabolomics and Mass Spectrometry Studies
    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • Machine Learning in Bioinformatics

Papers in

    • Metabolomics and Mass Spectrometry Studies 12
    • Gene expression and cancer classification 9
    • Bioinformatics and Genomic Networks 9
    • Machine Learning in Bioinformatics 3
    • Online Learning and Analytics 4

Michael Netzer

32 papers receiving 443 citations

Peers

Michael Netzer
Comparison fields: 5 of 101
  • Spectroscopy 77
  • Molecular Biology 256
  • Computational Theory and Mathematics 43
  • Health Information Management 9
  • Clinical Biochemistry 12
Replace Oxana P. Trifonova with:
Oxana P. Trifonova Russia
Susmita Datta United States
Venkat R. Chirasani United States
Ziqi Pan China
Benjamin Goudey Australia
Tomoki Yoshida Japan
Dominik Kopczynski Germany
Kofi P. Adragni United States
Zhaorong Li China
Joana P. Gonçalves Portugal
Michael Netzer relative to Oxana P. Trifonova Russia Oxana P. Trifonova's profile →
Citations per field
00.5×2×3.1×
Oxana P. Trifonova · 1×
Citations per year

Countries citing papers authored by Michael Netzer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200969
2 201159
3 201343
4 201137
5 201136
6 201032
7 201031
8 201225
9 201217
10 200917
11 201117
12 201214
13 201513
14 20238
15 20206
16 20095
17 20105
18 20124
19 20164
20 20193

About Michael Netzer

Michael Netzer is a scholar working on Molecular Biology, Computer Science Applications, Spectroscopy, Artificial Intelligence and Developmental and Educational Psychology, having authored 34 papers that have together received 464 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), Machine Learning in Bioinformatics (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Online and Blended Learning (2 papers). The work is most often cited by research in Spectroscopy (77 citations), Molecular Biology (256 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, United States and Germany. Frequent co-authors include Christian Baumgärtner, Melanie Osl, Bernhard Erich Pfeifer, Daniela Baumgartner, Armin Graber, Gunda Millonig, Johannes Villinger, Siegfried Praun, Klaus M. Weinberger and Karl Kugler. Their work appears in journals such as Bioinformatics, PLoS ONE, Online Learning, Biology Direct and Methods of Information in Medicine.

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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