Jonathan Higham

610 citations
38 papers · 431 · h-index 12

Impact in

Papers in

Jonathan Higham

35 papers receiving 421 citations

Peers

Jonathan Higham
Comparison fields: 5 of 57
  • General Dentistry 25
  • Computational Mechanics 129
  • Statistical and Nonlinear Physics 44
  • Medical Laboratory Technology 3
  • Global and Planetary Change 63
Replace Zhiming Lu with:
Zhiming Lu China
Luigi C. Berselli Italy
Arturo Hidalgo Spain
Jozef Kristek Slovakia
Rodolfo Bermejo Spain
Jonathan Lemus Switzerland
Hejun Zhu United States
Joanna Szmelter United Kingdom
V. M. Prostokishin Russia
Matthew Ross Norman United States
Jonathan Higham relative to Zhiming Lu China Zhiming Lu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jonathan Higham

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Higham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202072
2 201843
3 201638
4 201734
5 202022
6 202121
7 201718
8 201915
9 201914
10 202112
11 202112
12 202112
13 202112
14 202212
15 201911
16 202310
17 20259
18 20198
19 20217
20 20227

About Jonathan Higham

Jonathan Higham is a scholar working on Computational Mechanics, General Dentistry, Statistical and Nonlinear Physics, Earth-Surface Processes and Health, Toxicology and Mutagenesis, having authored 38 papers that have together received 431 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (7 papers), Fluid Dynamics and Turbulent Flows (5 papers), Fluid Dynamics and Vibration Analysis (4 papers), COVID-19 impact on air quality (3 papers), Model Reduction and Neural Networks (3 papers), Coastal and Marine Dynamics (3 papers), Infection Control and Ventilation (3 papers) and Dental Research and COVID-19 (3 papers). The work is most often cited by research in General Dentistry (25 citations), Computational Mechanics (129 citations), Statistical and Nonlinear Physics (44 citations), Medical Laboratory Technology (3 citations) and Global and Planetary Change (63 citations). Jonathan Higham has collaborated with scholars based in United Kingdom, United States and Chile. Frequent co-authors include Wernher Brevis, Christopher J. Keylock, Andrew P. Morse, Mark Alan Green, Mehrdad Shahnam, Parisa Mirbod, Maryam Bagheri, Philip J. Knight, Andrew James Plater and William D. Fullmer. Their work appears in journals such as Granular Matter, Measurement Science and Technology, The Astrophysical Journal, The Science of The Total Environment and Physics of Fluids.

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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