Gary A. Dilts

847 total citations
10 papers, 632 citations indexed

About

Gary A. Dilts is a scholar working on Computational Mechanics, Aerospace Engineering and Materials Chemistry. According to data from OpenAlex, Gary A. Dilts has authored 10 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Mechanics, 3 papers in Aerospace Engineering and 3 papers in Materials Chemistry. Recurrent topics in Gary A. Dilts's work include Fluid Dynamics Simulations and Interactions (3 papers), Nuclear Materials and Properties (2 papers) and Nuclear reactor physics and engineering (2 papers). Gary A. Dilts is often cited by papers focused on Fluid Dynamics Simulations and Interactions (3 papers), Nuclear Materials and Properties (2 papers) and Nuclear reactor physics and engineering (2 papers). Gary A. Dilts collaborates with scholars based in United States. Gary A. Dilts's co-authors include Kevin Clarno, Srikanth Allu, Bobby Philip, Rahul S. Sampath, M. Berrill, Steven Hamilton, Sreekanth Pannala, L.J. Ott, Srdjan Simunovic and Pallab Barai and has published in prestigious journals such as Journal of Computational Physics, International Journal for Numerical Methods in Engineering and Physica D Nonlinear Phenomena.

In The Last Decade

Gary A. Dilts

9 papers receiving 593 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gary A. Dilts United States 6 517 236 118 74 39 10 632
D.L. Hicks United States 9 737 1.4× 295 1.3× 183 1.6× 159 2.1× 51 1.3× 34 906
Atsushi Nobe Japan 7 628 1.2× 120 0.5× 111 0.9× 31 0.4× 17 0.4× 16 738
W. Eidel Germany 14 254 0.5× 56 0.2× 52 0.4× 38 0.5× 88 2.3× 52 560
J. P. Vila France 15 642 1.2× 105 0.4× 48 0.4× 21 0.3× 3 0.1× 29 780
В. В. Пухначев Russia 14 518 1.0× 66 0.3× 9 0.1× 64 0.9× 36 0.9× 76 704
H. Huang United States 15 204 0.4× 181 0.8× 94 0.8× 61 0.8× 100 2.6× 29 544
William G. Szymczak United States 7 262 0.5× 42 0.2× 13 0.1× 34 0.5× 25 0.6× 31 359
T. P. Lyubimova Russia 12 280 0.5× 19 0.1× 14 0.1× 100 1.4× 54 1.4× 67 478
Henri Gouin France 12 243 0.5× 62 0.3× 7 0.1× 90 1.2× 45 1.2× 53 467
Mikhail Popov Russia 17 101 0.2× 202 0.9× 28 0.2× 32 0.4× 13 0.3× 48 563

Countries citing papers authored by Gary A. Dilts

Since Specialization
Citations

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

Fields of papers citing papers by Gary A. Dilts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary A. Dilts. 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 Gary A. Dilts. The network helps show where Gary A. Dilts may publish in the future.

Co-authorship network of co-authors of Gary A. Dilts

This figure shows the co-authorship network connecting the top 25 collaborators of Gary A. Dilts. A scholar is included among the top collaborators of Gary A. Dilts based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gary A. Dilts. Gary A. Dilts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Huang, Chengkun, Feiyu Li, Bo Shen, et al.. (2022). CoSyR: A novel beam dynamics code for the modeling of synchrotron radiation effects. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1034. 166808–166808.
2.
Shevitz, Daniel, et al.. (2021). <span style="font-family: monospace;">Portage</span>: A Modular Data Remap Library for Multiphysics Applications on Advanced Architectures. Journal of Open Research Software. 9(1). 26–26. 2 indexed citations
3.
Philip, Bobby, M. Berrill, Srikanth Allu, et al.. (2015). A parallel multi-domain solution methodology applied to nonlinear thermal transport problems in nuclear fuel pins. Journal of Computational Physics. 286. 143–171. 13 indexed citations
4.
Clarno, Kevin, Bobby Philip, Rahul S. Sampath, et al.. (2012). The AMP (Advanced MultiPhysics) Nuclear Fuel Performance code. Nuclear Engineering and Design. 252. 108–120. 18 indexed citations
5.
Dilts, Gary A., et al.. (2007). Three-dimensional boundary detection for particle methods. Journal of Computational Physics. 226(2). 1710–1730. 29 indexed citations
6.
Dilts, Gary A.. (2006). Consistent thermodynamic derivative estimates for tabular equations of state. Physical Review E. 73(6). 66704–66704. 3 indexed citations
7.
Dilts, Gary A.. (2000). Moving least-squares particle hydrodynamics II: conservation and boundaries. International Journal for Numerical Methods in Engineering. 48(10). 1503–1524. 176 indexed citations
8.
Dilts, Gary A.. (1999). Moving-least-squares-particle hydrodynamics?I. Consistency and stability. International Journal for Numerical Methods in Engineering. 44(8). 1115–1155. 341 indexed citations
9.
Dilts, Gary A.. (1986). Chaotic plane-wave solutions for the relativistic self-interacting quantum electron. Physica D Nonlinear Phenomena. 23(1-3). 470–478. 1 indexed citations
10.
Dilts, Gary A.. (1985). Computation of spherical harmonic expansion coefficients via FFT's. Journal of Computational Physics. 57(3). 439–453. 49 indexed citations

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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