Daniel G. Friend

32 papers and 1.9k indexed citations i.

About

Daniel G. Friend is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Daniel G. Friend has authored 32 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Biomedical Engineering, 8 papers in Atomic and Molecular Physics, and Optics and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Daniel G. Friend’s work include Phase Equilibria and Thermodynamics (23 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers) and Thermodynamic properties of mixtures (6 papers). Daniel G. Friend is often cited by papers focused on Phase Equilibria and Thermodynamics (23 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers) and Thermodynamic properties of mixtures (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

Co-authorship network of co-authors of Daniel G. Friend i

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.

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).

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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