Gavin Reynolds
- Computational Mechanics top 0.5%
- Mechanical Engineering top 2%
- Pharmaceutical Science top 0.2%
- Materials Chemistry top 10%
- Molecular Biology
- Co-authors
- Michael J. HounslowAgba D. SalmanKendal PittR.J. RobertsMichael LeaneY.S. CheongM.J. AdamsZhenyu Huang
- Topics
- Granular flow and fluidized beds (52 papers)Drug Solubulity and Delivery Systems (30 papers)Mineral Processing and Grinding (28 papers)
- Journals
- Journal of Fluid MechanicsChemical Engineering JournalInternational Journal of Pharmaceutics
- Partner nations
- United KingdomSingaporeSweden
In The Last Decade
Gavin Reynolds
92 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 122
- Computational Mechanics 1.1k
- Mechanical Engineering 999
- Pharmaceutical Science 827
- Materials Chemistry 383
- Molecular Biology 285
Countries citing papers authored by Gavin Reynolds
This map shows the geographic impact of Gavin Reynolds'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 Gavin Reynolds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Reynolds more than expected).
Fields of papers citing papers by Gavin Reynolds
This network shows the impact of papers produced by Gavin Reynolds. 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 Gavin Reynolds. The network helps show where Gavin Reynolds may publish in the future.
Co-authorship network of co-authors of Gavin Reynolds
This figure shows the co-authorship network connecting the top 25 collaborators of Gavin Reynolds. A scholar is included among the top collaborators of Gavin Reynolds 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 Gavin Reynolds. Gavin Reynolds is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 11 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | 7 | |
| 13 | 26 | |
| 14 | Digital design for pharmaceutical product and process development | 1 |
| 15 | 42 | |
| 16 | 12 | |
| 17 | 19 | |
| 18 | 58 | |
| 19 | 43 | |
| 20 | 28 |
About Gavin Reynolds
Gavin Reynolds is a scholar working on Pharmaceutical Science, Computational Mechanics and Mechanical Engineering, having authored 93 papers that have together received 2.3k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (52 papers), Drug Solubulity and Delivery Systems (30 papers) and Mineral Processing and Grinding (28 papers). The work is most often cited by research in Pharmaceutical Science (827 citations), Computational Mechanics (1.1k citations) and Mechanical Engineering (999 citations). Gavin Reynolds has collaborated with scholars based in United Kingdom, Singapore and Sweden. Frequent co-authors include Michael J. Hounslow, Agba D. Salman, Kendal Pitt, R.J. Roberts, Michael Leane, Y.S. Cheong, M.J. Adams, Zhenyu Huang, Jun Fu and Yu Shen. Their work appears in journals such as Journal of Fluid Mechanics, Chemical Engineering Journal and International Journal of Pharmaceutics.
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.