Vern E. Bean

525 citations
30 papers · 396 · h-index 11

Impact in

Papers in

Vern E. Bean

30 papers receiving 361 citations

Peers

Vern E. Bean
Comparison fields: 5 of 52
  • Statistics, Probability and Uncertainty 95
  • Geophysics 112
  • Condensed Matter Physics 34
  • Biomedical Engineering 126
  • Materials Chemistry 123
Replace В. А. Гавва with:
В. А. Гавва Russia
J. K. N. Sharma India
A. J. Greenfield Israel
R C Kemp Australia
Horace A. Bowman United States
H. Siegert Germany
Dominic Windisch Germany
P. Bloembergen China
Akobuije Chijioke United States
Martin L. Reilly United States
Vern E. Bean relative to В. А. Гавва Russia В. А. Гавва's profile →
Citations per field
00.5×3.4×
В. А. Гавва · 1×
Citations per year

Countries citing papers authored by Vern E. Bean

Since Specialization
Citations

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

Fields of papers citing papers by Vern E. Bean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196681
2 198657
3 199433
4 200226
5 198024
6 198224
7 198021
8 199420
9 198415
10 198913
11 200710
12 19958
13 19848
14 19918
15 19816
16
New Primary Standards for Air Speed Measurement at NIST
19996
17 19905
18 19855
19 19754
20 19864

About Vern E. Bean

Vern E. Bean is a scholar working on Biomedical Engineering, Statistics, Probability and Uncertainty, Mechanical Engineering, Computer Networks and Communications and Organic Chemistry, having authored 30 papers that have together received 396 indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (13 papers), Advanced Sensor Technologies Research (8 papers), Sensor Technology and Measurement Systems (5 papers), Phase Equilibria and Thermodynamics (5 papers), Chemical Thermodynamics and Molecular Structure (4 papers), High-pressure geophysics and materials (3 papers), Spectroscopy and Laser Applications (3 papers) and Acoustic Wave Resonator Technologies (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (95 citations), Geophysics (112 citations), Condensed Matter Physics (34 citations), Biomedical Engineering (126 citations) and Materials Chemistry (123 citations). Vern E. Bean has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include J. Dean Barnett, H. Tracy Hall, W. S. Hurst, S. Block, P. M. Bell, S. M. Stishov, Murli H. Manghnani, Malcolm Nicol, G. J. Rosasco and Syun‐iti Akimoto. Their work appears in journals such as Metrologia, Review of Scientific Instruments, Journal of Applied Physics, Journal of Research of the National Institute of Standards and Technology and High Pressure Research.

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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