Andrew J. Schultz

94 papers receiving 1.9k citations

Peers

Andrew J. Schultz
Comparison fields: 5 of 98
  • Fluid Flow and Transfer Processes 265
  • Statistical and Nonlinear Physics 249
  • Biomedical Engineering 868
  • Materials Chemistry 908
  • Condensed Matter Physics 181
Replace G. Malescio with:
G. Malescio Italy
C. Caccamo Italy
Anatol Malijevský Czechia
Paolo V. Giaquinta Italy
András Baranyai Hungary
Sten Sarman Sweden
Gerhard Nägele Germany
Fernando del Rı́o Mexico
J. M. Haile United States
Dominique Lévesque France
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Citations per year

Countries citing papers authored by Andrew J. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Schultz. 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 Andrew J. Schultz. The network helps show where Andrew J. Schultz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005138
2 2018124
3 200778
4 200273
5 200962
6 200748
7 200948
8 201447
9 201046
10 201845
11 201045
12 200644
13 201242
14 200940
15 201036
16 201234
17 201533
18 201132
19 201930
20 201530

About Andrew J. Schultz

Andrew J. Schultz is a scholar working on Biomedical Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Fluid Flow and Transfer Processes and Organic Chemistry, having authored 96 papers that have together received 1.9k indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (49 papers), Material Dynamics and Properties (29 papers), Spectroscopy and Quantum Chemical Studies (19 papers), Advanced Chemical Physics Studies (17 papers), Thermodynamic properties of mixtures (12 papers), Chemical Thermodynamics and Molecular Structure (11 papers), Machine Learning in Materials Science (10 papers) and Quantum, superfluid, helium dynamics (9 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (265 citations), Statistical and Nonlinear Physics (249 citations), Biomedical Engineering (868 citations), Materials Chemistry (908 citations) and Condensed Matter Physics (181 citations). Andrew J. Schultz has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David A. Kofke, Jan Genzer, Carol K. Hall, Kenneth M. Benjamin, Cemal Basaran, Michael S. Sellers, Tai Boon Tan, Nathaniel S. Barlow, Steven J. Weinstein and Paul N. Patrone. Their work appears in journals such as The Journal of Chemical Physics, Molecular Physics, The Journal of Physical Chemistry B, Journal of Chemical & Engineering Data and Journal of Chemical Theory and Computation.

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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