D. McBride

668 citations
37 papers · 550 · h-index 14

Impact in

Papers in

    • Heat and Mass Transfer in Porous Media 10
    • Computational Fluid Dynamics and Aerodynamics 4
    • Advanced Numerical Methods in Computational Mathematics 3
    • Metal Extraction and Bioleaching 18

D. McBride

37 papers receiving 529 citations

Peers

D. McBride
Comparison fields: 5 of 49
  • Biomedical Engineering 304
  • Mechanical Engineering 241
  • Environmental Engineering 67
  • Computational Mechanics 117
  • Civil and Structural Engineering 55
Replace Jouni Ritvanen with:
Jouni Ritvanen Finland
Dongsoon Jang South Korea
Paolo Venturini Italy
Łukasz Mika Poland
Swasti Sundar Mondal India
Camille Solliec France
Martin Gräbner Germany
Haojie Fan China
Povilas Poškas Lithuania
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Citations per field
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Citations per year

Countries citing papers authored by D. McBride

Since Specialization
Citations

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

Fields of papers citing papers by D. McBride

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside D. McBride, 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. McBride Line = papers co-authored together D. McBride links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201884
2 200551
3 201243
4 201741
5 200636
6 201133
7 201831
8 201330
9 201527
10 201120
11 201220
12 201318
13 201317
14 200714
15 200612
16 200611
17 20079
18 20109
19 20067
20 20136

About D. McBride

D. McBride is a scholar working on Computational Mechanics, Biomedical Engineering, Mechanical Engineering, Environmental Engineering and Waste Management and Disposal, having authored 37 papers that have together received 550 indexed citations. Recurring topics across this work include Metal Extraction and Bioleaching (18 papers), Heat and Mass Transfer in Porous Media (10 papers), Extraction and Separation Processes (8 papers), Metallurgical Processes and Thermodynamics (8 papers), Groundwater flow and contamination studies (5 papers), Computational Fluid Dynamics and Aerodynamics (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Landfill Environmental Impact Studies (2 papers). The work is most often cited by research in Biomedical Engineering (304 citations), Mechanical Engineering (241 citations), Environmental Engineering (67 citations), Computational Mechanics (117 citations) and Civil and Structural Engineering (55 citations). D. McBride has collaborated with scholars based in United Kingdom, Malaysia and Australia. Frequent co-authors include M. Cross, J.E. Gebhardt, T.N. Croft, I.M.S.K. Ilankoon, Mohan Yellishetty, Stephen Northey, Yousef Ghorbani, Xiangyi Deng, Mark Cross and Stephen J. Neethling. Their work appears in journals such as Minerals Engineering, Hydrometallurgy, International Journal for Numerical Methods in Fluids, Computers & Fluids and Applied Mathematical Modelling.

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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