M.B. Ewing

72 papers receiving 1.5k citations

Peers

M.B. Ewing
Comparison fields: 5 of 75
  • Fluid Flow and Transfer Processes 719
  • Filtration and Separation 104
  • Organic Chemistry 763
  • Biomedical Engineering 992
  • Statistics, Probability and Uncertainty 131
Replace D. R. Douslin with:
D. R. Douslin United States
J. C. G. Calado Portugal
Patsy S. Chappelear United States
Ulrich K. Deiters Germany
Kraemer D. Luks United States
S. B. Kiselev United States
L. A. Weber United States
R. C. Miller United States
G. Raabe Germany
George T. Furukawa United States
M.B. Ewing relative to D. R. Douslin United States D. R. Douslin's profile →
Citations per field
00.5×2.7×
D. R. Douslin · 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 21 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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197071
2 199265
3 199456
4 198851
5 197051
6 198649
7 199043
8 200441
9 198740
10 198939
11 198138
12 200037
13 197435
14 201033
15 199232
16 197331
17 201331
18 197728
19 198928
20 199128

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 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (45 papers), Chemical Thermodynamics and Molecular Structure (42 papers), Thermodynamic properties of mixtures (39 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 (719 citations), Filtration and Separation (104 citations), Organic Chemistry (763 citations), Biomedical Engineering (992 citations) and Statistics, Probability and Uncertainty (131 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, Kathleen A. Johnson, Andreas Kafizas and M. Rätzsch. Their work appears in journals such as The Journal of Chemical Thermodynamics, Physica A Statistical Mechanics and its Applications, Journal of Chemical & Engineering Data, Metrologia and Pure and Applied 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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