E. Marschall

51 papers receiving 598 citations

Peers

E. Marschall
Comparison fields: 5 of 67
  • Fluid Flow and Transfer Processes 129
  • Filtration and Separation 36
  • Computational Mechanics 210
  • Mechanical Engineering 242
  • Mechanics of Materials 136
Replace G. S. Laddha with:
G. S. Laddha India
Keishi Gotoh Japan
Yuji Kawamura Japan
Simón Reif-Acherman Colombia
A.J. Babchin Israel
John Dale United States
Reiner Tillner‐Roth Germany
Åsmund Ervik Norway
Katsuyuki Tanaka Japan
V. S. Krylov Russia
E. Marschall relative to G. S. Laddha India G. S. Laddha's profile →
Citations per field
00.5×5.7×
G. S. Laddha · 1×
Citations per year

Countries citing papers authored by E. Marschall

Since Specialization
Citations

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

Fields of papers citing papers by E. Marschall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside E. Marschall, 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 E. Marschall Line = papers co-authored together E. Marschall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982124
2 199263
3 196948
4 199043
5 197341
6 197827
7 199224
8 198922
9 199516
10 198812
11 198512
12 197512
13 198212
14 198011
15 198611
16 199311
17 197711
18 197310
19 199510
20 19779

About E. Marschall

E. Marschall is a scholar working on Mechanical Engineering, Computational Mechanics, Biomedical Engineering, Mechanics of Materials and Electrical and Electronic Engineering, having authored 58 papers that have together received 638 indexed citations. Recurring topics across this work include Heat Transfer and Boiling Studies (16 papers), Fluid Dynamics and Heat Transfer (9 papers), Fluid Dynamics and Thin Films (9 papers), Adhesion, Friction, and Surface Interactions (7 papers), Heat Transfer and Optimization (7 papers), Fluid Dynamics and Turbulent Flows (7 papers), Fluid Dynamics and Mixing (6 papers) and Phase Equilibria and Thermodynamics (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (129 citations), Filtration and Separation (36 citations), Computational Mechanics (210 citations), Mechanical Engineering (242 citations) and Mechanics of Materials (136 citations). E. Marschall has collaborated with scholars based in United States, Germany and Jordan. Frequent co-authors include E. M. Sparrow, Khalid S. Soliman, Ali A. Badran, Joachim Böttcher, J. Walter, G. Allan Johnson, Roby Douilly, R. Meyder, Rainer Sommer and Harald Höge. Their work appears in journals such as Journal of Heat Transfer, International Journal of Heat and Mass Transfer, International Communications in Heat and Mass Transfer, Review of Scientific Instruments and International Journal of Multiphase Flow.

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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