Leonard G. Austin

491 citations
29 papers · 403 indexed · h-index 12
Topics
Mineral Processing and Grinding (23 papers)Minerals Flotation and Separation Techniques (17 papers)Granular flow and fluidized beds (10 papers)

In The Last Decade

Leonard G. Austin

27 papers receiving 376 citations

Peers

Leonard G. Austin
Comparison fields: 5 of 47
  • Mechanical Engineering 332
  • Water Science and Technology 251
  • Computational Mechanics 136
  • Biomedical Engineering 125
  • Ocean Engineering 28
Replace M.J. Mankosa with:
M.J. Mankosa United States
B.K. Loveday South Africa
Namık A. Aydoğan Türkiye
Ligang Tang China
P.T. Luckie United States
J.E. Dickinson Australia
Murray M. Bwalya South Africa
Shuji Takeuchi Japan
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Leonard G. Austin relative to M.J. Mankosa United States M.J. Mankosa's profile →
Citations per field
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M.J. Mankosa · 1×
Citations per year

Countries citing papers authored by Leonard G. Austin

Since Specialization
Citations

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

Fields of papers citing papers by Leonard G. Austin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard G. Austin. 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 Leonard G. Austin. The network helps show where Leonard G. Austin may publish in the future.

Co-authorship network of co-authors of Leonard G. Austin

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard G. Austin. A scholar is included among the top collaborators of Leonard G. Austin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leonard G. Austin. Leonard G. Austin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 40
2 37
3 12
4 16
5 46
6 26
7 7
8 7
9 3
10 38
11 0
12 6
13 1
14 3
15 2
16 10
17 14
18 23
19 6
20 1

About Leonard G. Austin

Leonard G. Austin is a scholar working on Water Science and Technology, Mechanical Engineering and Computational Mechanics, having authored 29 papers that have together received 403 indexed citations. Recurring topics across this work include Mineral Processing and Grinding (23 papers), Minerals Flotation and Separation Techniques (17 papers) and Granular flow and fluidized beds (10 papers). The work is most often cited by research in Water Science and Technology (251 citations), Mechanical Engineering (332 citations) and Computational Mechanics (136 citations). Leonard G. Austin has collaborated with scholars based in United States, South Korea and Brazil. Frequent co-authors include Heechan Cho, Cláudio Luiz Schneider, M. Yekeler, R. Hogg, Chaiyot Tangsathitkulchai, P.T. Luckie, O. Trass, B. Florence Scarlett, M. Tangsathitkulchai and C.O. Gómez. Their work appears in journals such as Fuel, Industrial & Engineering Chemistry Research and AIChE Journal.

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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