J.G. Yates

2.0k citations
58 papers · 1.6k indexed · h-index 23

J.G. Yates

57 papers receiving 1.5k citations

Peers

J.G. Yates
Comparison fields: 5 of 83
  • Computational Mechanics 1.2k
  • Ocean Engineering 459
  • Mechanical Engineering 666
  • Biomedical Engineering 415
  • Water Science and Technology 63
Replace Mooson Kwauk with:
Mooson Kwauk China
YU Zun-hong China
Ray Cocco United States
Dale M. Snider United States
K. Rietema Netherlands
Cai Liang China
D. Gidaspow United States
Kenneth Williams Australia
Srdjan Sasic Sweden
Guojie Zhang China
J.G. Yates relative to Mooson Kwauk China Mooson Kwauk's profile →
Citations per field
00.5×1.6×
Mooson Kwauk · 1×
Citations per year

Countries citing papers authored by J.G. Yates

Since Specialization
Citations

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

Fields of papers citing papers by J.G. Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20113
2 200157
3
Proceedings of the World Conference on Particle Technology 3
19981
4 199824
5 1996153
6 19944
7 199491
8 198719
9 198717
10
Distributor-zone reaction in a gas-fluidized bed
19843
11 19841
12 198433
13 198239
14 198016
15 197873
16 197311
17 197012
18 19573
19 19534
20 19536

About J.G. Yates

J.G. Yates is a scholar working on Computational Mechanics, Ocean Engineering, Mechanical Engineering, Bioengineering and Physical and Theoretical Chemistry, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (34 papers), Cyclone Separators and Fluid Dynamics (15 papers), Particle Dynamics in Fluid Flows (14 papers), Mineral Processing and Grinding (12 papers), Fluid Dynamics and Mixing (10 papers), Iron and Steelmaking Processes (10 papers), Minerals Flotation and Separation Techniques (3 papers) and Catalytic Processes in Materials Science (3 papers). The work is most often cited by research in Computational Mechanics (1.2k citations), Ocean Engineering (459 citations), Mechanical Engineering (666 citations), Biomedical Engineering (415 citations) and Water Science and Technology (63 citations). J.G. Yates has collaborated with scholars based in United Kingdom, Netherlands and Italy. Frequent co-authors include David E. Newton, Paola Lettieri, P.N. Rowe, S. Simons, Alex C. Hoffmann, David Cheesman, Guillermo F. Barreto, L. Santoro, Giovanna Bruni and Mark A Gilbertson. Their work appears in journals such as Chemical Engineering Science, Powder Technology, Chemical Engineering Communications, Applied Engineering in Agriculture and International Journal of Heat and Mass Transfer.

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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