M.B. Ewing

73 papers receiving 1.5k citations

Peers

M.B. Ewing
Comparison fields: 5 of 78
  • Fluid Flow and Transfer Processes 736
  • Filtration and Separation 111
  • Organic Chemistry 790
  • Biomedical Engineering 1.1k
  • Statistics, Probability and Uncertainty 157
Replace Reiner Kleinrahm with:
Reiner Kleinrahm Germany
D. R. Douslin United States
B. A. Younglove United States
Webster B. Kay United States
C.A. Ten Seldam Netherlands
J. C. G. Calado Portugal
Richard J. Bearman United States
E. McLaughlin United States
R. C. Miller United States
Ulrich K. Deiters Germany
M.B. Ewing relative to Reiner Kleinrahm Germany Reiner Kleinrahm's profile →
Citations per field
00.5×2×3.2×
Reiner Kleinrahm · 1×
Citations per year

Countries citing papers authored by M.B. Ewing

Since Specialization
Citations

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

Fields of papers citing papers by M.B. Ewing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.B. Ewing. 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 M.B. Ewing. The network helps show where M.B. Ewing may publish in the future.

Co-authors

The 22 scholars most cited alongside M.B. Ewing, 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 M.B. Ewing Line = papers co-authored together M.B. Ewing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197073
2 199270
3 199460
4 198854
5 197053
6 198652
7 199045
8 198744
9 198942
10 200441
11 201041
12 200040
13 198138
14 199236
15 197435
16 198933
17 197332
18 201332
19 199130
20 198929

About M.B. Ewing

M.B. Ewing is a scholar working on Biomedical Engineering, Organic Chemistry, Fluid Flow and Transfer Processes, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (46 papers), Chemical Thermodynamics and Molecular Structure (43 papers), Thermodynamic properties of mixtures (40 papers), Quantum Electrodynamics and Casimir Effect (9 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers), Advanced Thermodynamic Systems and Engines (7 papers), Scientific Measurement and Uncertainty Evaluation (6 papers) and Spectroscopy and Laser Applications (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (736 citations), Filtration and Separation (111 citations), Organic Chemistry (790 citations), Biomedical Engineering (1.1k citations) and Statistics, Probability and Uncertainty (157 citations). M.B. Ewing has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Kenneth N. Marsh, J. P. Martin Trusler, Anthony R. H. Goodwin, M. L. McGlashan, R. H. Stokes, Ivan P. Parkin, Zadjia Atik, Andreas Kafizas, Kathleen A. Johnson and Terence H. Lilley. Their work appears in journals such as The Journal of Chemical Thermodynamics, Physica A Statistical Mechanics and its Applications, Journal of Chemical & Engineering Data, Pure and Applied Chemistry and Fluid Phase Equilibria.

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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