Michael Haug

549 citations
34 papers · 443 · h-index 11

Impact in

Papers in

    • Muscle activation and electromyography studies 6
    • Microfluidic and Bio-sensing Technologies 3
    • Muscle Physiology and Disorders 12
    • Nuclear Structure and Function 3

Michael Haug

28 papers receiving 425 citations

Peers

Michael Haug
Comparison fields: 5 of 84
  • Fluid Flow and Transfer Processes 60
  • Automotive Engineering 106
  • Biophysics 23
  • Critical Care and Intensive Care Medicine 13
  • Computational Mechanics 52
Replace Siddhartha Banerjee with:
Siddhartha Banerjee United States
Vincent Raimbault France
R. Lemaire France
Atul Dubey United States
Zunjing Jenipher Wang United States
Martin Dahlberg Sweden
E. Fernández United States
Goran Goranović Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Michael Haug

Since Specialization
Citations

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

Fields of papers citing papers by Michael Haug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Haug, 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 Haug Line = papers co-authored together Michael Haug 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 201789
2 199177
3 199535
4 201434
5 201733
6 201423
7 201720
8 199516
9 202115
10 198512
11 199712
12 200111
13 201911
14 19858
15 20236
16 20225
17 20195
18 19945
19 20225
20 20194

About Michael Haug

Michael Haug is a scholar working on Biomedical Engineering, Molecular Biology, Cell Biology, Fluid Flow and Transfer Processes and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 443 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (12 papers), Muscle activation and electromyography studies (6 papers), Cellular Mechanics and Interactions (5 papers), Cardiomyopathy and Myosin Studies (4 papers), Microfluidic and Bio-sensing Technologies (3 papers), Nuclear Structure and Function (3 papers), Advanced Combustion Engine Technologies (3 papers) and Combustion and flame dynamics (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (60 citations), Automotive Engineering (106 citations), Biophysics (23 citations), Critical Care and Intensive Care Medicine (13 citations) and Computational Mechanics (52 citations). Michael Haug has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Thorsten Kolb, Graeme Whyte, Sahradha Albert, Achim Trebst, Klaus Günther Tietjen, Oliver Friedrich, Frank M. Kindermann, Franz B. Spingler, M. Schreiber and Peter Keil. Their work appears in journals such as Biophysical Journal, International Journal of Molecular Sciences, SAE technical papers on CD-ROM/SAE technical paper series, Scientific Reports and Biosensors and Bioelectronics.

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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