Michael Marth

490 citations
14 papers · 368 · h-index 8

Impact in

Papers in

Michael Marth

14 papers receiving 350 citations

Peers

Michael Marth
Comparison fields: 5 of 65
  • Fluid Flow and Transfer Processes 122
  • Polymers and Plastics 143
  • Statistics, Probability and Uncertainty 21
  • Biomaterials 32
  • Atomic and Molecular Physics, and Optics 64
Replace Hanns‐Georg Kilian with:
Hanns‐Georg Kilian Germany
Weizhong Zou United States
Martin-D. Lacasse United States
A. Kate Gurnon United States
T. W. Bates Netherlands
Misazo Yamamoto Japan
Takahiro Murashima Japan
Motoi Okuda Japan
Catherine Allain France
Martin Kenward Canada
Michael Marth relative to Hanns‐Georg Kilian Germany Hanns‐Georg Kilian's profile →
Citations per field
00.5×1.5×2.1×
Hanns‐Georg Kilian · 1×
Citations per year

Countries citing papers authored by Michael Marth

Since Specialization
Citations

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

Fields of papers citing papers by Michael Marth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Michael Marth, 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 Marth Line = papers co-authored together Michael Marth links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200185
2 199961
3 199957
4 200046
5 200038
6 200237
7 199914
8 199912
9 19997
10 19983
11 19983
12 20002
13 20002
14 19991

About Michael Marth

Michael Marth is a scholar working on Fluid Flow and Transfer Processes, Biomedical Engineering, Organic Chemistry, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 368 indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (4 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Polymer crystallization and properties (2 papers), Atmospheric aerosols and clouds (2 papers), Neural Networks and Applications (2 papers), Scientific Research and Discoveries (1 paper), Force Microscopy Techniques and Applications (1 paper) and Phase Equilibria and Thermodynamics (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (122 citations), Polymers and Plastics (143 citations), Statistics, Probability and Uncertainty (21 citations), Biomaterials (32 citations) and Atomic and Molecular Physics, and Optics (64 citations). Michael Marth has collaborated with scholars based in Germany. Frequent co-authors include Josef Honerkamp, Christian Friedrich, Jürgen Weese, Rainer Brandsch, G. Bar, Dirk Maier, Christian Friedrich, Daniel Maier, M. Rapp and J. Goschnick. Their work appears in journals such as Journal of Rheology, Rheologica Acta, Journal of Chemometrics, Macromolecular Symposia and Computer Physics Communications.

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.

Explore authors with similar magnitude of impact