David E. Weidner
Impact in
- Computational Mechanics top 2%
- Fluid Dynamics and Thin Films
- Fluid Dynamics and Heat Transfer
- Advanced Numerical Methods in Computational Mathematics
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- Rheology and Fluid Dynamics Studies
Papers in
-
- Fluid Dynamics and Thin Films 21
- Fluid Dynamics and Heat Transfer 1
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- Polymer crystallization and properties 1
- Co-authors
- Leonard W. Schwartz (10 shared papers)Hakki Eres (3 shared papers)Richard R. Eley (3 shared papers)Richard Allan Cairncross (1 shared paper)Shengwen Zhong (1 shared paper)
- Journals
- Physics of Fluids (7 papers)Langmuir (2 papers)Journal of Colloid and Interface Science (2 papers)Microsystem Technologies (1 paper)Physical Chemistry Chemical Physics (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
David E. Weidner
21 papers receiving 445 citations
Peers
Comparison fields: 5 of 34
- Computational Mechanics 394
- Fluid Flow and Transfer Processes 29
- Surfaces, Coatings and Films 12
- Applied Mathematics 13
- General Materials Science 2
Countries citing papers authored by David E. Weidner
This map shows the geographic impact of David E. Weidner'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 David E. Weidner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Weidner more than expected).
Fields of papers citing papers by David E. Weidner
This network shows the impact of papers produced by David E. Weidner. 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 David E. Weidner. The network helps show where David E. Weidner may publish in the future.
Co-authors
The 5 scholars most cited alongside David E. Weidner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 77 | |
| 2 | 1994 | 76 | |
| 3 | 1999 | 63 | |
| 4 | 1997 | 59 | |
| 5 | 1996 | 57 | |
| 6 | 1995 | 45 | |
| 7 | 1996 | 27 | |
| 8 | 2018 | 13 | |
| 9 | 2007 | 11 | |
| 10 | 2013 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 2012 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 1991 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2021 | 2 |
About David E. Weidner
David E. Weidner is a scholar working on Computational Mechanics, Polymers and Plastics, Ocean Engineering, Water Science and Technology and Mechanical Engineering, having authored 22 papers that have together received 476 indexed citations. Recurring topics across this work include Fluid Dynamics and Thin Films (21 papers), Polymer crystallization and properties (1 paper), Enhanced Oil Recovery Techniques (1 paper), Fluid Dynamics and Heat Transfer (1 paper), Membrane Separation Technologies (1 paper), Membrane Separation and Gas Transport (1 paper) and Characterization and Applications of Magnetic Nanoparticles (1 paper). The work is most often cited by research in Computational Mechanics (394 citations), Fluid Flow and Transfer Processes (29 citations), Surfaces, Coatings and Films (12 citations), Applied Mathematics (13 citations) and General Materials Science (2 citations). David E. Weidner has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Leonard W. Schwartz, Hakki Eres, Richard R. Eley, Richard Allan Cairncross and Shengwen Zhong. Their work appears in journals such as Physics of Fluids, Langmuir, Journal of Colloid and Interface Science, Microsystem Technologies and Physical Chemistry Chemical Physics.
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.