Kate N. Dyster

441 citations
8 papers · 317 indexed · h-index 7

Kate N. Dyster

8 papers receiving 301 citations

Peers

Kate N. Dyster
Comparison fields: 5 of 40
  • Computational Mechanics 181
  • Water Science and Technology 91
  • Biomedical Engineering 263
  • Ocean Engineering 42
  • Analytical Chemistry 24
Replace Julian B. Fasano with:
Julian B. Fasano United States
Jonathon Lovick United Kingdom
I.P.T. Moore United Kingdom
V. B. Rewatkar India
Manish R. Bhole India
T. E. Degaleesan India
Jean-Christophe Gabelle France
Craig A. McKnight Canada
Dineshkumar Patel Canada
Manfred H. Pahl Germany
Kate N. Dyster relative to Julian B. Fasano United States Julian B. Fasano's profile →
Citations per field
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Julian B. Fasano · 1×
Citations per year

Countries citing papers authored by Kate N. Dyster

Since Specialization
Citations

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

Fields of papers citing papers by Kate N. Dyster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate N. Dyster. 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 Kate N. Dyster. The network helps show where Kate N. Dyster may publish in the future.

Co-authorship network

The 7 scholars most cited alongside Kate N. Dyster, 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 Kate N. Dyster Line = papers co-authored together Kate N. Dyster links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 200168
2 199828
3 199812
4 199670
5
An LDA study of the radial discharge velocities generated by a Rushton turbine : Newtonian fluids, Re ≥ 5
199350
6 19935
7
A LDA study of turbulent flow in a baffled vessel agitated by a pitched blade turbine
199156
8 198928

About Kate N. Dyster

Kate N. Dyster is a scholar working on Computational Mechanics, Mechanics of Materials, Ocean Engineering, Biomedical Engineering and Mechanical Engineering, having authored 8 papers that have together received 317 indexed citations. Recurring topics across this work include Fluid Dynamics and Mixing (5 papers), Cyclone Separators and Fluid Dynamics (3 papers), Cavitation Phenomena in Pumps (3 papers), Fluid Dynamics and Turbulent Flows (3 papers), Tribology and Lubrication Engineering (2 papers), Fluid Dynamics and Heat Transfer (2 papers), Particle Dynamics in Fluid Flows (2 papers) and Flow Measurement and Analysis (1 paper). The work is most often cited by research in Computational Mechanics (181 citations), Water Science and Technology (91 citations), Biomedical Engineering (263 citations), Ocean Engineering (42 citations) and Analytical Chemistry (24 citations). Kate N. Dyster has collaborated with scholars based in United Kingdom, Poland and United States. Frequent co-authors include Alvin W. Nienow, Z. Jaworski, W. Bujalski, I.P.T. Moore, Alexei Gilchrist, Keith Carpenter and Mirosław L. Wyszynski. Their work appears in journals such as Process Safety and Environmental Protection, The Canadian Journal of Chemical Engineering, Chemical Engineering Science and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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