Michael Wagner

1.9k citations
43 papers · 1.2k indexed · h-index 18

Impact in

    • Infant Nutrition and Health
  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments

Papers in

    • Parkinson's Disease Mechanisms and Treatments 4
    • Neurological disorders and treatments 4

Michael Wagner

42 papers receiving 1.1k citations

Peers

Michael Wagner
Comparison fields: 5 of 133
  • Nutrition and Dietetics 216
  • Neurology 211
  • Internal Medicine 45
  • Numerical Analysis 51
  • Molecular Biology 427
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Citations per field
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Citations per year

Countries citing papers authored by Michael Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Wagner, 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 Wagner Line = papers co-authored together Michael Wagner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 201929
3 201849
4 20181
5 201719
6 20165
7 20165
8 20149
9 201431
10 201417
11 201339
12 20122
13 201029
14 20096
15 20051
16 200390
17 199883
18
pPCx: Parallel Software for Linear Programming.
19975
19 19966
20 19937

About Michael Wagner

Michael Wagner is a scholar working on Software, Neurology, Computer Science Applications, Numerical Analysis and Hardware and Architecture, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological disorders and treatments (4 papers), Machine Learning in Bioinformatics (3 papers), Protein Structure and Dynamics (3 papers), Gene expression and cancer classification (3 papers), Enzyme Structure and Function (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Nutrition and Dietetics (216 citations), Neurology (211 citations), Internal Medicine (45 citations), Numerical Analysis (51 citations) and Molecular Biology (427 citations). Michael Wagner has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Jarek Meller, Dayanand N. Naik, Alex Pothen, Rafał Adamczak, Sylvia Bösch, Aleksey Porollo, Doyle V. Ward, Kurt Schibler, Diana H. Taft and Dirk Gevers. Their work appears in journals such as Journal of Proteome Research, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Mathematical Programming, Frontiers in Genetics and Analytical and Bioanalytical Chemistry.

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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