J.G. Yates

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

Impact in

Papers in

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-authors

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

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996153
2 200292
3 199491
4 197680
5 199376
6 200074
7 197873
8 200270
9 198662
10 198659
11 200157
12 199055
13 198347
14 198340
15 198239
16 198433
17 197332
18 200429
19 199629
20 198825

About J.G. Yates

J.G. Yates is a scholar working on Computational Mechanics, Mechanical Engineering, Ocean Engineering, Biomedical Engineering and Materials 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), Electrostatics and Colloid Interactions (3 papers) and Minerals Flotation and Separation Techniques (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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