Gren Patey

226 papers receiving 9.7k citations

Peers

Gren Patey
Comparison fields: 5 of 118
  • Fluid Flow and Transfer Processes 2.2k
  • Filtration and Separation 680
  • Physical and Theoretical Chemistry 2.1k
  • Atomic and Molecular Physics, and Optics 4.0k
  • Condensed Matter Physics 1.0k
Replace Carlos Vega with:
Carlos Vega Spain
Jayendran C. Rasaiah United States
J. L. F. Abascal Spain
Peter J. Rossky United States
James L. Skinner United States
Reinhard Strey Germany
Alexander P. Lyubartsev Sweden
Alenka Luzar United States
Daphnee Levesque France
Huib J. Bakker Netherlands
Gren Patey relative to Carlos Vega Spain Carlos Vega's profile →
Citations per field
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Carlos Vega · 1×
Citations per year

Countries citing papers authored by Gren Patey

Since Specialization
Citations

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

Fields of papers citing papers by Gren Patey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gren Patey. 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 Gren Patey. The network helps show where Gren Patey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 227 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985319
2 1992244
3 1988236
4 1975210
5 1982162
6 1982154
7 1992150
8 2007147
9 1980143
10 1977143
11 2000140
12 1980131
13 2000131
14 1993131
15 1988127
16 1973126
17 1990121
18 1987119
19 1987110
20 1977108

About Gren Patey

Gren Patey is a scholar working on Fluid Flow and Transfer Processes, Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics, Materials Chemistry and Condensed Matter Physics, having authored 227 papers that have together received 10.0k indexed citations. Recurring topics across this work include Material Dynamics and Properties (80 papers), Spectroscopy and Quantum Chemical Studies (79 papers), Thermodynamic properties of mixtures (62 papers), Phase Equilibria and Thermodynamics (49 papers), Electrostatics and Colloid Interactions (39 papers), Theoretical and Computational Physics (29 papers), nanoparticles nucleation surface interactions (26 papers) and Characterization and Applications of Magnetic Nanoparticles (26 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (2.2k citations), Filtration and Separation (680 citations), Physical and Theoretical Chemistry (2.1k citations), Atomic and Molecular Physics, and Optics (4.0k citations) and Condensed Matter Physics (1.0k citations). Gren Patey has collaborated with scholars based in Canada, France and United Kingdom. Frequent co-authors include Peter G. Kusalik, Dong‐Qing Wei, John P. Valleau, Glenn M. Torrie, J. J. Weis, Daphnee Levesque, Philip J. Camp, Aurélien Perera, Pascal Henry Fries and Sandip Paul. Their work appears in journals such as The Journal of Chemical Physics, Molecular Physics, The Journal of Physical Chemistry B, Chemical Physics Letters and The Journal of Physical Chemistry A.

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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