Fred M. Snell

31 papers receiving 328 citations

Peers

Fred M. Snell
Comparison fields: 5 of 102
  • Statistical and Nonlinear Physics 51
  • Filtration and Separation 7
  • Physical and Theoretical Chemistry 29
  • Atmospheric Science 54
  • Cellular and Molecular Neuroscience 55
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John G. Atwood United States
Emilio Del Giudice Italy
Karl W. Kratky Austria
Robert I. Macey United States
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William Robert Smith United Kingdom
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Robert A. Harte United States
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Citations per field
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Citations per year

Countries citing papers authored by Fred M. Snell

Since Specialization
Citations

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

Fields of papers citing papers by Fred M. Snell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred M. Snell. 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 Fred M. Snell. The network helps show where Fred M. Snell may publish in the future.

Co-authors

The 13 scholars most cited alongside Fred M. Snell, 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 Fred M. Snell Line = papers co-authored together Fred M. Snell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196146
2 195727
3 197427
4
Biophysical principles of structure and function
196526
5 196524
6 196722
7 196721
8 196718
9 196017
10 196516
11 197414
12 197613
13 196012
14 196011
15 197710
16 196010
17 19679
18 19689
19 19668
20 19758

About Fred M. Snell

Fred M. Snell is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Electrochemistry, Atomic and Molecular Physics, and Optics and Global and Planetary Change, having authored 32 papers that have together received 391 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (7 papers), Electrochemical Analysis and Applications (6 papers), Lipid Membrane Structure and Behavior (5 papers), Neuroscience and Neural Engineering (3 papers), Atmospheric aerosols and clouds (3 papers), Atmospheric Ozone and Climate (3 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Climate variability and models (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (51 citations), Filtration and Separation (7 citations), Physical and Theoretical Chemistry (29 citations), Atmospheric Science (54 citations) and Cellular and Molecular Neuroscience (55 citations). Fred M. Snell has collaborated with scholars based in United States. Frequent co-authors include Robert A. Spangler, Bryan C. Weare, Cavin P. Leeman, John R. Menninger, Oleg Jardetzky, Paul S. Lee, O. Ross McIntyre, Barry Stein, H. Olin Spivey and Geoffrey Iverson. Their work appears in journals such as Journal of Theoretical Biology, Journal of the Atmospheric Sciences, The Journal of Physical Chemistry, Nature and The Journal of 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.

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