James W. Schmidt

62 papers receiving 1.3k citations

Peers

James W. Schmidt
Comparison fields: 5 of 72
  • Statistics, Probability and Uncertainty 206
  • Fluid Flow and Transfer Processes 131
  • Statistical and Nonlinear Physics 262
  • Atmospheric Science 326
  • Biomedical Engineering 749
Replace Keith A. Gillis with:
Keith A. Gillis United States
Robert F. Berg United States
B. Le Neindre France
V. S. Vorob’ev Russia
C.A. Ten Seldam Netherlands
John E. Kilpatrick United States
A. Michels Netherlands
Christopher W. Meyer United States
Karsten Meier Germany
A. Janzen Canada
James W. Schmidt relative to Keith A. Gillis United States Keith A. Gillis's profile →
Citations per field
00.5×2.6×
Keith A. Gillis · 1×
Citations per year

Countries citing papers authored by James W. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by James W. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James W. Schmidt. 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 James W. Schmidt. The network helps show where James W. Schmidt may publish in the future.

Co-authors

The 25 scholars most cited alongside James W. Schmidt, 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 James W. Schmidt Line = papers co-authored together James W. Schmidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007123
2 1983101
3 200392
4 198291
5 198687
6 199672
7 200465
8 199050
9 198644
10 198642
11 199737
12 199436
13 199034
14 199629
15 198429
16 198027
17 198527
18 198527
19 199625
20 200824

About James W. Schmidt

James W. Schmidt is a scholar working on Biomedical Engineering, Statistics, Probability and Uncertainty, Atomic and Molecular Physics, and Optics, Mechanical Engineering and Atmospheric Science, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (27 papers), Scientific Measurement and Uncertainty Evaluation (20 papers), Refrigeration and Air Conditioning Technologies (11 papers), nanoparticles nucleation surface interactions (11 papers), Advanced Thermodynamics and Statistical Mechanics (9 papers), Spectroscopy and Quantum Chemical Studies (8 papers), Quantum, superfluid, helium dynamics (5 papers) and Spacecraft and Cryogenic Technologies (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (206 citations), Fluid Flow and Transfer Processes (131 citations), Statistical and Nonlinear Physics (262 citations), Atmospheric Science (326 citations) and Biomedical Engineering (749 citations). James W. Schmidt has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Michael R. Moldover, Eric F. May, R. M. Gavioso, Ernesto Carrillo-Nava, R. F. Kayser, Keith A. Gillis, Dana R. Defibaugh, James B. Mehl, William B. Daniels and J. J. Hurly. Their work appears in journals such as The Journal of Chemical Physics, Metrologia, Physical Review Letters, Physica A Statistical Mechanics and its Applications 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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