Daniel G. Friend

2.9k total citations
38 papers, 2.0k citations indexed

About

Daniel G. Friend is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics and Organic Chemistry. According to data from OpenAlex, Daniel G. Friend has authored 38 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 8 papers in Atomic and Molecular Physics, and Optics and 7 papers in Organic Chemistry. Recurrent topics in Daniel G. Friend's work include Phase Equilibria and Thermodynamics (24 papers), Chemical Thermodynamics and Molecular Structure (7 papers) and Advanced Thermodynamics and Statistical Mechanics (6 papers). Daniel G. Friend is often cited by papers focused on Phase Equilibria and Thermodynamics (24 papers), Chemical Thermodynamics and Molecular Structure (7 papers) and Advanced Thermodynamics and Statistical Mechanics (6 papers). Daniel G. Friend collaborates with scholars based in United States, Japan and Egypt. Daniel G. Friend's 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 and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Chemical Physics Letters.

In The Last Decade

Daniel G. Friend

37 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel G. Friend United States	17	1.1k	637	466	390	297	38	2.0k
Haruki Sato Japan	24	1.3k 1.2×	649 1.0×	896 1.9×	593 1.5×	281 0.9×	138	2.6k
Steven G. Penoncello United States	15	730 0.6×	334 0.5×	484 1.0×	261 0.7×	156 0.5×	35	1.7k
Marcelo Castier Brazil	28	1.3k 1.1×	408 0.6×	631 1.4×	285 0.7×	251 0.8×	134	2.7k
Reiner Kleinrahm Germany	31	2.0k 1.7×	758 1.2×	332 0.7×	1.1k 2.8×	111 0.4×	58	2.4k
Guillaume Galliéro France	33	1.6k 1.4×	719 1.1×	388 0.8×	583 1.5×	679 2.3×	119	2.9k
N. B. Vargaftik Russia	11	1.3k 1.1×	523 0.8×	555 1.2×	457 1.2×	558 1.9×	30	3.1k
François Montel France	28	1.0k 0.9×	280 0.4×	407 0.9×	376 1.0×	633 2.1×	84	2.4k
Arno Laesecke United States	32	2.3k 2.0×	1.4k 2.1×	667 1.4×	793 2.0×	369 1.2×	72	3.6k
D. G. Friend United States	16	915 0.8×	951 1.5×	182 0.4×	245 0.6×	630 2.1×	28	1.8k
Andrés Mejı́a Chile	32	2.0k 1.8×	882 1.4×	485 1.0×	574 1.5×	130 0.4×	140	3.3k

Countries citing papers authored by Daniel G. Friend

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Daniel G. Friend

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Friend. A scholar is included among the top collaborators of Daniel G. Friend based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel G. Friend. Daniel G. Friend is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Friend, Daniel G., et al.. (2023). STANDARD THERMOPHYSICAL PROPERTIES OF THE AMMONIA-WATER BINARY FLUID. 854–861.

Friend, Daniel G., et al.. (2020). Body Weight as an Indicator of Vulnerability to Domestic Cat Predation for Juveniles of Three Species of Cottontail Rabbits (Sylvilagus spp.) in Colorado, USA: Implications for Release Criteria. Journal of Wildlife Diseases. 56(4). 965–967. 2 indexed citations

Friend, Daniel G. & Michael A. O. Lewis. (2011). Early LNG Program and LN2 Cryogenic Flow Measurement Facility at NIST | NIST. 1 indexed citations

Friend, Daniel G.. (2009). The International Association for the Properties of Water and Steam. 1 indexed citations

Brennan, John K., Anne M. Chaka, Kerwin D. Dobbs, et al.. (2007). The Fifth Industrial Fluid Properties Simulation Challenge | NIST. Fluid Phase Equilibria. 260. 1 indexed citations

Gordon, Peter A., et al.. (2007). Benchmarks for the Third Industrial Fluid Properties Simulation Challenge. Fluid Phase Equilibria. 260(2). 164–168. 8 indexed citations

Friend, Daniel G., et al.. (2007). Physical and Chemical Data, Section 2. 15 indexed citations

Lemmon, Eric W., et al.. (2006). Standardized Equation for Hydrogen Gas Densities for Fuel Consumption Applications1. SAE technical papers on CD-ROM/SAE technical paper series. 1. 17 indexed citations

Friend, Daniel G., et al.. (2005). Establishing benchmarks for the Second Industrial Fluids Simulation Challenge. Fluid Phase Equilibria. 236(1-2). 15–24. 15 indexed citations

10.

Friend, Daniel G., D. J. Frurip, Joseph W. Magee, & James D. Olson. (2003). Establishing benchmarks for the first industrial fluids simulation challenge. Fluid Phase Equilibria. 217(1). 11–15. 8 indexed citations

11.

Rainwater, James C., Daniel G. Friend, H. J. M. Hanley, et al.. (2001). Forum 2000: Fluid Properties for New Technologies, Connecting Virtual Design with Physical Reality. Journal of Chemical & Engineering Data. 46(5). 1002–1006. 15 indexed citations

12.

Rainwater, James C., Daniel G. Friend, H. J. M. Hanley, et al.. (2001). Report on Forum 2000: Fluid Properties for New Technologies - Connecting Virtual Design with Physical Reality. 6 indexed citations

13.

Lemmon, Eric W., R. T. Jacobsen, Steven G. Penoncello, & Daniel G. Friend. (2000). Thermodynamic Properties of Air and Mixtures of Nitrogen, Argon, and Oxygen From 60 to 2000 K at Pressures to 2000 MPa. Journal of Physical and Chemical Reference Data. 29(3). 331–385. 421 indexed citations

14.

Arp, V., R.D. McCarty, & Daniel G. Friend. (1998). Thermophysical Properties of Helium-4 from 0.8 to 1500 K with Pressures to 2000 MPa | NIST. 15 indexed citations

15.

Tillner‐Roth, Reiner & Daniel G. Friend. (1998). Survey and Assessment of Available Measurements on Thermodynamic Properties of the Mixture {Water+Ammonia}. Journal of Physical and Chemical Reference Data. 27(1). 45–61. 58 indexed citations

16.

Rainwater, James C. & Daniel G. Friend. (1993). Calculation of enthalpy and entropy differences of near-critical binary mixtures with the modified Leung–Griffiths model. The Journal of Chemical Physics. 98(3). 2298–2307. 6 indexed citations

17.

Friend, Daniel G. & James F. Ely. (1992). Thermodynamic properties of the methane-ethane systen. Fluid Phase Equilibria. 79. 77–88. 11 indexed citations

18.

Huber, Marcia L., Daniel G. Friend, & James F. Ely. (1992). Prediction of the thermal conductivity of refrigerants and refrigerant mixtures. Fluid Phase Equilibria. 80. 249–261. 76 indexed citations

19.

Friend, Daniel G., et al.. (1989). Thermophysical Properties of Methane. Journal of Physical and Chemical Reference Data. 18(2). 583–638. 168 indexed citations

20.

Friend, Daniel G.. (1983). The radial distribution function at low densities: Exact results for small and large separations for smooth potentials. The Journal of Chemical Physics. 79(9). 4553–4557. 14 indexed citations

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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