A.M. Squires

435 citations
34 papers · 389 · h-index 12

Impact in

Papers in

    • Granular flow and fluidized beds 20
    • Heat and Mass Transfer in Porous Media 9
    • Mineral Processing and Grinding 7
    • Iron and Steelmaking Processes 5
    • Heat Transfer and Optimization 3

A.M. Squires

34 papers receiving 367 citations

Peers

A.M. Squires
Comparison fields: 5 of 48
  • Fuel Technology 10
  • Computational Mechanics 254
  • Ocean Engineering 106
  • Mechanical Engineering 119
  • Biomedical Engineering 103
Replace Yaodong Wei with:
Yaodong Wei China
Jens A. Melheim Norway
Michael Cooke United Kingdom
Nobunori OSHIMA Japan
Ruichao Tian China
R. R. Rothfus United States
Alexandra Komrakova Canada
G. Cognet France
Dongling Wu China
Peter W. Dietz United States
A.M. Squires relative to Yaodong Wei China Yaodong Wei's profile →
Citations per field
00.5×
Yaodong Wei · 1×
Citations per year

Countries citing papers authored by A.M. Squires

Since Specialization
Citations

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

Fields of papers citing papers by A.M. Squires

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.M. Squires. 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 A.M. Squires. The network helps show where A.M. Squires may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198948
2 197638
3 200037
4 197629
5 197926
6 200523
7 199821
8 198719
9 195716
10 200513
11 200512
12 197111
13 201711
14 19878
15 19988
16 20057
17 20067
18
Clean power from coal. [Review with 33 references]
19706
19 20046
20 19885

About A.M. Squires

A.M. Squires is a scholar working on Computational Mechanics, Mechanical Engineering, Ocean Engineering, Electrical and Electronic Engineering and Biomedical Engineering, having authored 34 papers that have together received 389 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (20 papers), Heat and Mass Transfer in Porous Media (9 papers), Mineral Processing and Grinding (7 papers), Particle Dynamics in Fluid Flows (5 papers), Iron and Steelmaking Processes (5 papers), Minerals Flotation and Separation Techniques (4 papers), Aerosol Filtration and Electrostatic Precipitation (4 papers) and Heat Transfer and Optimization (3 papers). The work is most often cited by research in Fuel Technology (10 citations), Computational Mechanics (254 citations), Ocean Engineering (106 citations), Mechanical Engineering (119 citations) and Biomedical Engineering (103 citations). A.M. Squires has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include R.A. Graff, Ying Liu, Robert Pfeffer, Gabriel I. Tardos, Ryan Chan, Douglas E. Hirt, Iris Nandhakumar, Nicholas J. Terrill, Bernd Thomas and Matthew Burton. Their work appears in journals such as Powder Technology, Fuel, Journal of Colloid and Interface Science, JOM and Energy.

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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