J Boyd

759 citations
13 papers · 638 · h-index 8

Impact in

Papers in

J Boyd

13 papers receiving 622 citations

Peers

J Boyd
Comparison fields: 5 of 68
  • Computational Mechanics 451
  • Fluid Flow and Transfer Processes 115
  • Biomedical Engineering 194
  • Cardiology and Cardiovascular Medicine 80
  • Pulmonary and Respiratory Medicine 115
Replace Cheng Tu with:
Cheng Tu Belgium
Norsarahaida Amin Malaysia
Jen-Shih Lee United States
Josip Tambača Croatia
A. Andriotis United Kingdom
Akbar Zaman Pakistan
D. S. Sankar Brunei
Norzieha Mustapha Malaysia
Varun Reddy United States
Syôten Oka Japan
J Boyd relative to Cheng Tu Belgium Cheng Tu's profile →
Citations per field
00.5×3.7×
Cheng Tu · 1×
Citations per year

Countries citing papers authored by J Boyd

Since Specialization
Citations

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

Fields of papers citing papers by J Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside J Boyd, 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 J Boyd Line = papers co-authored together J Boyd links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2007344
2 2006125
3 200547
4 200740
5 200432
6 201521
7 200810
8 200810
9 20073
10 20082
11 19972
12 20231
13
Simulation of Non-Newtonian Fluid Mixing Using the Lattice Boltzmann Model
20071

About J Boyd

J Boyd is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 638 indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (10 papers), Fluid Dynamics and Turbulent Flows (6 papers), Blood properties and coagulation (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Energy Load and Power Forecasting (2 papers), Organ Transplantation Techniques and Outcomes (1 paper), MRI in cancer diagnosis (1 paper) and Vibration and Dynamic Analysis (1 paper). The work is most often cited by research in Computational Mechanics (451 citations), Fluid Flow and Transfer Processes (115 citations), Biomedical Engineering (194 citations), Cardiology and Cardiovascular Medicine (80 citations) and Pulmonary and Respiratory Medicine (115 citations). J Boyd has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include James M. Buick, Simon Green, Steven Green, Paul Stansell, John A. Cosgrove, Bryan Burmeister, Matthew Foote, Kimberley Jones, Catherine Driscoll and William Stevenson. Their work appears in journals such as Physics in Medicine and Biology, Hepatology Research, Physics of Fluids, American Journal of Geriatric Psychiatry and Journal of Medical Imaging and Radiation Oncology.

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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