Andrew E. Bayly

2.4k citations
71 papers · 1.9k indexed · h-index 25

Impact in

Papers in

Andrew E. Bayly

67 papers receiving 1.8k citations

Peers

Andrew E. Bayly
Comparison fields: 5 of 116
  • Computational Mechanics 952
  • Automotive Engineering 232
  • Food Science 332
  • Ocean Engineering 270
  • Mechanical Engineering 485
Replace Matthias Kind with:
Matthias Kind Germany
Carsten Schilde Germany
Xiaofeng Peng China
Khashayar Saleh France
Wiebke Drenckhan France
James D. Litster United States
Tatsushi Matsuyama Japan
John A. Dodds France
D. De Kée Canada
Vimal Kumar India
Andrew E. Bayly relative to Matthias Kind Germany Matthias Kind's profile →
Citations per field
00.5×4.3×
Matthias Kind · 1×
Citations per year

Countries citing papers authored by Andrew E. Bayly

Since Specialization
Citations

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

Fields of papers citing papers by Andrew E. Bayly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew E. Bayly. 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 Andrew E. Bayly. The network helps show where Andrew E. Bayly may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20240
4 20235
5 20233
6 202217
7 20212
8 202124
9 202126
10 202033
11 202043
12 202029
13 20199
14 201919
15 201838
16 201626
17 201423
18 200865
19 200711
20 20058

About Andrew E. Bayly

Andrew E. Bayly is a scholar working on Computational Mechanics, Ocean Engineering, Food Science, Automotive Engineering and Fluid Flow and Transfer Processes, having authored 71 papers that have together received 1.9k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (20 papers), Fluid Dynamics and Heat Transfer (19 papers), Particle Dynamics in Fluid Flows (18 papers), Microencapsulation and Drying Processes (13 papers), Cyclone Separators and Fluid Dynamics (10 papers), Surfactants and Colloidal Systems (9 papers), Aerosol Filtration and Electrostatic Precipitation (9 papers) and Material Dynamics and Properties (8 papers). The work is most often cited by research in Computational Mechanics (952 citations), Automotive Engineering (232 citations), Food Science (332 citations), Ocean Engineering (270 citations) and Mechanical Engineering (485 citations). Andrew E. Bayly has collaborated with scholars based in United Kingdom, China and Australia. Frequent co-authors include Ali Hassanpour, Yi He, Yang‐Xin Yu, Mojtaba Ghadiri, Markus Kraft, Mark Simmons, Frans L. Muller, Dezhou Wei, Baoyu Cui and Mehrdad Pasha. Their work appears in journals such as Powder Technology, Chemical Engineering Science, The Journal of Physical Chemistry B, Colloids and Surfaces A Physicochemical and Engineering Aspects and KONA Powder and Particle 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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