Gavin Reynolds

3.0k total citations
93 papers, 2.3k citations indexed

About

Gavin Reynolds is a scholar working on Computational Mechanics, Mechanical Engineering and Pharmaceutical Science. According to data from OpenAlex, Gavin Reynolds has authored 93 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computational Mechanics, 54 papers in Mechanical Engineering and 30 papers in Pharmaceutical Science. Recurrent topics in Gavin Reynolds's work include Granular flow and fluidized beds (52 papers), Drug Solubulity and Delivery Systems (30 papers) and Mineral Processing and Grinding (28 papers). Gavin Reynolds is often cited by papers focused on Granular flow and fluidized beds (52 papers), Drug Solubulity and Delivery Systems (30 papers) and Mineral Processing and Grinding (28 papers). Gavin Reynolds collaborates with scholars based in United Kingdom, Singapore and Sweden. Gavin Reynolds's 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 and has published in prestigious journals such as Journal of Fluid Mechanics, Chemical Engineering Journal and International Journal of Pharmaceutics.

In The Last Decade

Gavin Reynolds

92 papers receiving 2.3k citations

Peers

Gavin Reynolds

James D. Litster United States

James D. Litster Australia

Agba D. Salman United Kingdom

Benjamin J. Glasser United States

Lauren Briens Canada

Chinmay Ghoroi India

Kei Miyanami Japan

Edward T. White Australia

Klaus Knop Germany

István Farkas Hungary

James D. Litster United States

Gavin Reynolds

1.8k ×1.6

1.2k ×1.2

789 ×1.0

680 ×1.8

313 ×1.1

Citations per year, relative to Gavin Reynolds Gavin Reynolds (= 1×) peers James D. Litster

Countries citing papers authored by Gavin Reynolds

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Abrahmsén‐Alami, Susanna, Alastair J. Florence, Jarkko Ketolainen, et al.. (2026). Empowering the pharmaceutical workforce for the digital future. European Journal of Pharmaceutical Sciences. 220. 107449–107449.

Reynolds, Gavin, et al.. (2025). On the formation of super-stable granular heaps. Journal of Fluid Mechanics. 1002. 3 indexed citations

Jolliffe, Hikaru G., et al.. (2024). Characterisation of a continuous blender: Impact of physical properties on mass holdup behaviour. Powder Technology. 449. 120440–120440. 2 indexed citations

Jolliffe, Hikaru G., et al.. (2024). Development and process scaling of repeat mini-blending as a complementary approach to deliver continuous direct compression. Powder Technology. 448. 120224–120224. 1 indexed citations

Li, Feng, et al.. (2024). An interaction-based mixing model for predicting porosity and tensile strength of directly compressed ternary blends of pharmaceutical powders. International Journal of Pharmaceutics. 664. 124587–124587. 2 indexed citations

Armstrong, John A., et al.. (2024). Flexible modelling of the dissolution performance of directly compressed tablets. International Journal of Pharmaceutics. 656. 124084–124084. 9 indexed citations

Windows‐Yule, Kit, et al.. (2024). Using AI/ML to predict blending performance and process sensitivity for Continuous Direct Compression (CDC). International Journal of Pharmaceutics. 651. 123796–123796. 11 indexed citations

Polák, Peter, I.C. Sinka, Gavin Reynolds, & R.J. Roberts. (2023). Successful Formulation Window for the design of pharmaceutical tablets with required mechanical properties. International Journal of Pharmaceutics. 650. 123705–123705. 8 indexed citations

Windows‐Yule, Kit, et al.. (2023). Application of Positron Emission Particle Tracking (PEPT) for the evaluation of powder behaviour in an incline linear blender for Continuous Direct Compression (CDC). International Journal of Pharmaceutics. 645. 123361–123361. 4 indexed citations

10.

Reynolds, Gavin, et al.. (2023). Modelling the effect of L/S ratio and granule moisture content on the compaction properties in continuous manufacturing. International Journal of Pharmaceutics. 633. 122624–122624. 6 indexed citations

11.

Reynolds, Gavin, et al.. (2022). System model driven selection of robust tablet manufacturing processes based on drug loading and formulation physical attributes. European Journal of Pharmaceutical Sciences. 172. 106140–106140. 13 indexed citations

12.

Jolliffe, Hikaru G., Ian Houson, Gavin Reynolds, et al.. (2022). Linked experimental and modelling approaches for tablet property predictions. International Journal of Pharmaceutics. 626. 122116–122116. 7 indexed citations

13.

Kalaria, Dhaval R., Keith D. Parker, Gavin Reynolds, & Johanna Laru. (2020). An industrial approach towards solid dosage development for first-in-human studies: Application of predictive science and lean principles. Drug Discovery Today. 25(3). 505–518. 26 indexed citations

14.

Barrasso, Dana, et al.. (2019). Digital design for pharmaceutical product and process development. 24(3). 30–33. 1 indexed citations

15.

Kazemi, Pezhman, et al.. (2016). Computational intelligence modeling of granule size distribution for oscillating milling. Powder Technology. 301. 1252–1258. 42 indexed citations

16.

Rowson, N.A., et al.. (2016). Asymmetric distribution in twin screw granulation. European Journal of Pharmaceutics and Biopharmaceutics. 106. 50–58. 12 indexed citations

17.

Reynolds, Gavin, et al.. (2016). Investigating the effect of processing parameters on pharmaceutical tablet disintegration using a real-time particle imaging approach. European Journal of Pharmaceutics and Biopharmaceutics. 106. 88–96. 19 indexed citations

18.

Eitzlmayr, Andreas, Gerold Koscher, Gavin Reynolds, et al.. (2014). Mechanistic modeling of modular co-rotating twin-screw extruders. International Journal of Pharmaceutics. 474(1-2). 157–176. 58 indexed citations

19.

Shen, Yu, Gavin Reynolds, Zhenyu Huang, Marcel de Matas, & Agba D. Salman. (2014). Granulation of increasingly hydrophobic formulations using a twin screw granulator. International Journal of Pharmaceutics. 475(1-2). 82–96. 43 indexed citations

20.

Shen, Yu, et al.. (2012). A comparative study of roll compaction of free-flowing and cohesive pharmaceutical powders. International Journal of Pharmaceutics. 428(1-2). 39–47. 28 indexed citations

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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