Daniel G. Friend
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- Thermodynamic properties of mixtures 6
- Filtration and Separation top 5%
- Chemical and Physical Properties in Aqueous Solutions 3
- Biomedical Engineering top 2%
- Phase Equilibria and Thermodynamics 24
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- Advanced Thermodynamics and Statistical Mechanics 6
- Computational Mechanics top 5%
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- Chemical Thermodynamics and Molecular Structure 7
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- Spectroscopy and Quantum Chemical Studies 3
- Quantum, superfluid, helium dynamics 3
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- Scientific Measurement and Uncertainty Evaluation 3
Daniel G. Friend
37 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 89
- Fluid Flow and Transfer Processes 637
- Filtration and Separation 64
- Biomedical Engineering 1.1k
- Statistical and Nonlinear Physics 262
- Computational Mechanics 297
Countries citing papers authored by Daniel G. Friend
This map shows the geographic impact of Daniel G. Friend'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 Daniel G. Friend with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Friend more than expected).
Fields of papers citing papers by Daniel G. Friend
This network shows the impact of papers produced by Daniel G. Friend. 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 Daniel G. Friend. The network helps show where Daniel G. Friend may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel G. Friend, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2020 | 2 | |
| 3 | Early LNG Program and LN2 Cryogenic Flow Measurement Facility at NIST | NIST | 2011 | 1 |
| 4 | The International Association for the Properties of Water and Steam | 2009 | 1 |
| 5 | The Fifth Industrial Fluid Properties Simulation Challenge | NIST | 2007 | 1 |
| 6 | 2007 | 8 | |
| 7 | Physical and Chemical Data, Section 2 | 2007 | 15 |
| 8 | 2006 | 17 | |
| 9 | 2005 | 15 | |
| 10 | 2003 | 8 | |
| 11 | 2001 | 15 | |
| 12 | 2001 | 6 | |
| 13 | 2000 | 421 | |
| 14 | Thermophysical Properties of Helium-4 from 0.8 to 1500 K with Pressures to 2000 MPa | NIST | 1998 | 15 |
| 15 | 1998 | 58 | |
| 16 | 1993 | 6 | |
| 17 | 1992 | 11 | |
| 18 | 1992 | 76 | |
| 19 | 1989 | 168 | |
| 20 | 1983 | 14 |
About Daniel G. Friend
Daniel G. Friend is a scholar working on Filtration and Separation, Fluid Flow and Transfer Processes and Biomedical Engineering, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (24 papers), Chemical Thermodynamics and Molecular Structure (7 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers), Thermodynamic properties of mixtures (6 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Quantum, superfluid, helium dynamics (3 papers), Scientific Measurement and Uncertainty Evaluation (3 papers) and Chemical and Physical Properties in Aqueous Solutions (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (637 citations), Filtration and Separation (64 citations) and Biomedical Engineering (1.1k citations). Daniel G. Friend has collaborated with scholars based in United States, Japan and Egypt. Frequent co-authors include James C. Rainwater, Reiner Tillner‐Roth, Eric W. Lemmon, Steven G. Penoncello, R. T. Jacobsen, James F. Ely, Marcia L. Huber, Arno Laesecke, James D. Olson and D. J. Frurip.
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.