Daniel de Kee

3.7k citations
145 papers · 3.1k · h-index 30

Impact in

Papers in

Daniel de Kee

140 papers receiving 2.9k citations

Peers

Daniel de Kee
Comparison fields: 5 of 139
  • Fluid Flow and Transfer Processes 875
  • Polymers and Plastics 965
  • Computational Mechanics 670
  • Biomaterials 370
  • Biomedical Engineering 765
Replace Kurt F. Wissbrun with:
Kurt F. Wissbrun United States
Albert Magnin France
Yogesh M. Joshi India
Rajinder Pal Canada
M. R. Mackley United Kingdom
Jan Mewis Belgium
Q. Dzuy Nguyen Australia
Howard A. Barnes United Kingdom
John M. Dealy Canada
Stanley Middleman United States
Daniel de Kee relative to Kurt F. Wissbrun United States Kurt F. Wissbrun's profile →
Citations per field
00.5×1.5×2×2.4×
Kurt F. Wissbrun · 1×
Citations per year

Countries citing papers authored by Daniel de Kee

Since Specialization
Citations

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

Fields of papers citing papers by Daniel de Kee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel de Kee. 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 Daniel de Kee. The network helps show where Daniel de Kee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979155
2 2007153
3 1993128
4 2005114
5 2005114
6 1989100
7 198394
8 200894
9 201084
10 200179
11 199671
12 200767
13 199265
14 199665
15 199463
16 200660
17 201060
18 199058
19 200551
20
Recent developments in structured continua
198644

About Daniel de Kee

Daniel de Kee is a scholar working on Fluid Flow and Transfer Processes, Polymers and Plastics, Computational Mechanics, Biomedical Engineering and Civil and Structural Engineering, having authored 145 papers that have together received 3.1k indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (70 papers), Polymer crystallization and properties (45 papers), Polymer Nanocomposites and Properties (27 papers), Fluid Dynamics and Mixing (12 papers), Polysaccharides Composition and Applications (11 papers), Membrane Separation and Gas Transport (10 papers), Material Dynamics and Properties (10 papers) and Elasticity and Material Modeling (9 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (875 citations), Polymers and Plastics (965 citations), Computational Mechanics (670 citations), Biomaterials (370 citations) and Biomedical Engineering (765 citations). Daniel de Kee has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include C. F. Chan Man Fong, Max Hetzer, Pierre J. Carreau, Denis Rodrigue, R.P. Chhabra, Brian H. Harrison, Yang Jun Zhong, M. Daroux, Gilles Turcotte and Abdul‐Fattah A. Asfour. Their work appears in journals such as Journal of Applied Polymer Science, Journal of Non-Newtonian Fluid Mechanics, The Canadian Journal of Chemical Engineering, Rheologica Acta and Journal of Rheology.

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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