Dale M. Snider
- Computational Mechanics top 0.5%
- Ocean Engineering top 0.5%
- Mechanical Engineering top 5%
- Biomedical Engineering top 5%
- Materials Chemistry
- Co-authors
- P.J. O’RourkeMalcolm AndrewsPaul ZhaoChristine M. HrenyaGustavo G. JosephJanine E. GalvinJames SpenikR. A. Johnson
- Topics
- Granular flow and fluidized beds (13 papers)Particle Dynamics in Fluid Flows (9 papers)Cyclone Separators and Fluid Dynamics (5 papers)
- Partner nations
- United States
In The Last Decade
Dale M. Snider
19 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Computational Mechanics 1.7k
- Ocean Engineering 807
- Mechanical Engineering 711
- Biomedical Engineering 677
- Materials Chemistry 92
Countries citing papers authored by Dale M. Snider
This map shows the geographic impact of Dale M. Snider'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 Dale M. Snider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dale M. Snider more than expected).
Fields of papers citing papers by Dale M. Snider
This network shows the impact of papers produced by Dale M. Snider. 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 Dale M. Snider. The network helps show where Dale M. Snider may publish in the future.
Co-authorship network of co-authors of Dale M. Snider
This figure shows the co-authorship network connecting the top 25 collaborators of Dale M. Snider. A scholar is included among the top collaborators of Dale M. Snider 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 Dale M. Snider. Dale M. Snider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 28 | |
| 3 | 102 | |
| 4 | Eulerian–Lagrangian method for three-dimensional thermal reacting flow with application to coal gasifiersbreakdown → | 371 |
| 5 | 185 | |
| 6 | 21 | |
| 7 | 98 | |
| 8 | 106 | |
| 9 | 127 | |
| 10 | 65 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | An Incompressible Three-Dimensional Multiphase Particle-in-Cell Model for Dense Particle Flowsbreakdown → | 621 |
| 14 | 158 | |
| 15 | 19 | |
| 16 | 10 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 96 |
About Dale M. Snider
Dale M. Snider is a scholar working on Computational Mechanics, Ocean Engineering and Nuclear and High Energy Physics, having authored 19 papers that have together received 2.1k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (13 papers), Particle Dynamics in Fluid Flows (9 papers) and Cyclone Separators and Fluid Dynamics (5 papers). The work is most often cited by research in Computational Mechanics (1.7k citations), Ocean Engineering (807 citations) and Mechanical Engineering (711 citations). Dale M. Snider has collaborated with scholars based in United States. Frequent co-authors include P.J. O’Rourke, Malcolm Andrews, Paul Zhao, Christine M. Hrenya, Gustavo G. Joseph, Janine E. Galvin, James Spenik, R. A. Johnson, Praveen Ramaprabhu and Stephen E. Levinson. Their work appears in journals such as Journal of Computational Physics, Chemical Engineering Science and Physics of Fluids.
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.