David Cheesman

23 papers receiving 817 citations

Peers

David Cheesman
Comparison fields: 5 of 110
  • Developmental Biology 79
  • Computational Mechanics 300
  • Social Psychology 227
  • Ecology, Evolution, Behavior and Systematics 186
  • Ocean Engineering 146
Replace Akio Mori with:
Akio Mori Japan
Satoyuki KAWANO Japan
Kasper van der Vaart United States
Simon Leblanc Canada
Torbjorn S. Bergstrom United States
Rebecca Stewart United Kingdom
Bertrand Collignon Belgium
John D. Robinson United States
Thomas Bachmann Germany
Masayuki Tanaka Japan
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Citations per field
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Citations per year

Countries citing papers authored by David Cheesman

Since Specialization
Citations

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

Fields of papers citing papers by David Cheesman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996290
2 1986104
3 199475
4 199662
5 199545
6 201340
7 198435
8 199825
9 199023
10 198023
11 200222
12 199521
13 199921
14 198018
15 199816
16
Landlord Power and Rural Indebtedness in Colonial Sind
199615
17 199515
18 19827
19 20134
20 20011

About David Cheesman

David Cheesman is a scholar working on Computational Mechanics, Ocean Engineering, Mechanical Engineering, Biomedical Engineering and Sociology and Political Science, having authored 26 papers that have together received 867 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (9 papers), Cyclone Separators and Fluid Dynamics (6 papers), Particle Dynamics in Fluid Flows (5 papers), Fluid Dynamics and Mixing (4 papers), Mineral Processing and Grinding (4 papers), Religion and Society Interactions (2 papers), Politics and Conflicts in Afghanistan, Pakistan, and Middle East (2 papers) and Islamic Studies and History (2 papers). The work is most often cited by research in Developmental Biology (79 citations), Computational Mechanics (300 citations), Social Psychology (227 citations), Ecology, Evolution, Behavior and Systematics (186 citations) and Ocean Engineering (146 citations). David Cheesman has collaborated with scholars based in United Kingdom, Netherlands and Australia. Frequent co-authors include Alvin W. Nienow, T.P. Elson, J.G. Yates, Trevor Coote, Michael W. Bruford, Yu. A. Sergeev, Jean Dubach, Susan C. Alberts, Robert C. Lacy and Raphael S. Mututua. Their work appears in journals such as Chemical Engineering Science, Powder Technology, Commonwealth and Comparative Politics, Proceedings of the National Academy of Sciences and Chemie Ingenieur Technik.

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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