D.J. Highgate

22 papers receiving 310 citations

Peers

D.J. Highgate
Comparison fields: 5 of 57
  • Fluid Flow and Transfer Processes 101
  • Process Chemistry and Technology 20
  • Energy Engineering and Power Technology 16
  • Computational Mechanics 87
  • Polymers and Plastics 47
Replace Satoshi Umemoto with:
Satoshi Umemoto Japan
M. Tańczyk Poland
Dimitrios M. Korres Greece
Jerzy Baron Poland
Shyam Pandey India
A. Ram Israel
G. Schöck Switzerland
J. T. Lindt United States
Farhad Shahraki Iran
Seda Aktaş United States
D.J. Highgate relative to Satoshi Umemoto Japan Satoshi Umemoto's profile →
Citations per field
00.5×
Satoshi Umemoto · 1×
Citations per year

Countries citing papers authored by D.J. Highgate

Since Specialization
Citations

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

Fields of papers citing papers by D.J. Highgate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside D.J. Highgate, 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 D.J. Highgate Line = papers co-authored together D.J. Highgate links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200260
2 197052
3 196938
4 196629
5 199517
6 199717
7 198916
8 196715
9 199914
10 199514
11 199812
12 200111
13 20038
14 19987
15 20026
16 19934
17 19904
18 19892
19 19912
20 19881

About D.J. Highgate

D.J. Highgate is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Biomedical Engineering, Statistical and Nonlinear Physics and Ocean Engineering, having authored 23 papers that have together received 331 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (5 papers), Rheology and Fluid Dynamics Studies (4 papers), Hybrid Renewable Energy Systems (3 papers), Heat and Mass Transfer in Porous Media (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Phase Change Materials Research (2 papers), Spacecraft Design and Technology (2 papers) and Fuel Cells and Related Materials (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (101 citations), Process Chemistry and Technology (20 citations), Energy Engineering and Power Technology (16 citations), Computational Mechanics (87 citations) and Polymers and Plastics (47 citations). D.J. Highgate has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include M. Newborough, S.D. Probert, Robin G M Crockett, Chris Knight, N. M. Spyrou, Michael Farquharson, J.K. Pedersen, D. A. R. Kay and Sabar Bauk. Their work appears in journals such as Applied Energy, Applied Thermal Engineering, Rheologica Acta, Journal of Physics D Applied Physics and Journal of Wind Engineering and Industrial Aerodynamics.

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.

Explore authors with similar magnitude of impact