J. McCarty
Impact in
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- Rheology and Fluid Dynamics Studies
- Condensed Matter Physics top 10%
- Theoretical and Computational Physics
Papers in
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- Material Dynamics and Properties 9
- Block Copolymer Self-Assembly 4
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- Rheology and Fluid Dynamics Studies 7
- Co-authors
- Marina Guenza (11 shared papers)Michele Parrinello (4 shared papers)Ivan Lyubimov (6 shared papers)Ómar Valsson (3 shared papers)Jeremy Copperman (1 shared paper)Abram H. Clark (1 shared paper)Mohammadhasan Dinpajooh (1 shared paper)Pratyush Tiwary (1 shared paper)
- Journals
- The Journal of Chemical Physics (5 papers)Macromolecules (2 papers)Physical Review Letters (2 papers)The Journal of Physical Chemistry B (2 papers)The Journal of Physical Chemistry Letters (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
J. McCarty
15 papers receiving 498 citations
Peers
Comparison fields: 5 of 57
- Fluid Flow and Transfer Processes 110
- Condensed Matter Physics 117
- Materials Chemistry 336
- Polymers and Plastics 65
- Structural Biology 4
Countries citing papers authored by J. McCarty
This map shows the geographic impact of J. McCarty'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 J. McCarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. McCarty more than expected).
Fields of papers citing papers by J. McCarty
This network shows the impact of papers produced by J. McCarty. 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 J. McCarty. The network helps show where J. McCarty may publish in the future.
Co-authors
The 10 scholars most cited alongside J. McCarty, 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 | 2017 | 92 | |
| 2 | 2014 | 64 | |
| 3 | 2012 | 52 | |
| 4 | 2010 | 45 | |
| 5 | 2013 | 35 | |
| 6 | 2012 | 34 | |
| 7 | 2018 | 34 | |
| 8 | 2015 | 33 | |
| 9 | 2009 | 31 | |
| 10 | 2017 | 25 | |
| 11 | 2010 | 22 | |
| 12 | 2010 | 14 | |
| 13 | 2016 | 10 | |
| 14 | 2015 | 7 | |
| 15 | How Reliable Are Soft Potentials? Ensuring Thermodynamic Consistency Between Hierarchical Models of Polymer Melts | 2012 | 1 |
About J. McCarty
J. McCarty is a scholar working on Materials Chemistry, Fluid Flow and Transfer Processes, Condensed Matter Physics, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 499 indexed citations. Recurring topics across this work include Material Dynamics and Properties (9 papers), Rheology and Fluid Dynamics Studies (7 papers), Theoretical and Computational Physics (5 papers), Block Copolymer Self-Assembly (4 papers), Phase Equilibria and Thermodynamics (4 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Quantum, superfluid, helium dynamics (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (110 citations), Condensed Matter Physics (117 citations), Materials Chemistry (336 citations), Polymers and Plastics (65 citations) and Structural Biology (4 citations). J. McCarty has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Marina Guenza, Michele Parrinello, Ivan Lyubimov, Ómar Valsson, Jeremy Copperman, Abram H. Clark, Mohammadhasan Dinpajooh, Pratyush Tiwary, GiovanniMaria Piccini and Allen D. Malony. Their work appears in journals such as The Journal of Chemical Physics, Macromolecules, Physical Review Letters, The Journal of Physical Chemistry B and The Journal of Physical Chemistry Letters.
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.