N.D. Waters

560 citations
29 papers · 481 indexed · h-index 12

Impact in

Papers in

N.D. Waters

27 papers receiving 441 citations

Peers

N.D. Waters
Comparison fields: 5 of 48
  • Fluid Flow and Transfer Processes 360
  • Computational Mechanics 350
  • Modeling and Simulation 44
  • Biomedical Engineering 152
  • Numerical Analysis 13
Replace G. Böhme with:
G. Böhme Germany
C.-Y. Wang United States
R. K. Bhatnagar India
J.M. Marchal Belgium
Nabeela Kousar Pakistan
A. Kaye United Kingdom
M. Hameed Pakistan
Shafqat Ali Pakistan
M. Devakar India
Sajjad Hussain Pakistan
N.D. Waters relative to G. Böhme Germany G. Böhme's profile →
Citations per field
00.5×5.5×
G. Böhme · 1×
Citations per year

Countries citing papers authored by N.D. Waters

Since Specialization
Citations

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

Fields of papers citing papers by N.D. Waters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside N.D. Waters, 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 N.D. Waters Line = papers co-authored together N.D. Waters links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970111
2 197189
3 198743
4 198333
5 197232
6 196321
7 196416
8 199016
9 198813
10 199413
11 197112
12 196411
13 198710
14 198910
15 19949
16 19707
17 19775
18 19844
19 19904
20 19903

About N.D. Waters

N.D. Waters is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Biomedical Engineering, Computational Theory and Mathematics and Mechanics of Materials, having authored 29 papers that have together received 481 indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (20 papers), Fluid Dynamics and Thin Films (10 papers), Fluid Dynamics and Turbulent Flows (7 papers), Advanced Mathematical Modeling in Engineering (5 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Flow Measurement and Analysis (3 papers), Characterization and Applications of Magnetic Nanoparticles (3 papers) and Enhanced Oil Recovery Techniques (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (360 citations), Computational Mechanics (350 citations), Modeling and Simulation (44 citations), Biomedical Engineering (152 citations) and Numerical Analysis (13 citations). N.D. Waters has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include K. Walters, George Rennie, Jeff Goshawk, E. W. Williams, E. Staples, P. G. Cummins, C. J. S. Petrie and D.R. Oliver. Their work appears in journals such as Journal of Non-Newtonian Fluid Mechanics, Rheologica Acta, The Quarterly Journal of Mechanics and Applied Mathematics, Journal of Physics D Applied Physics and Flow Turbulence and Combustion.

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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