Glen McHale
Impact in
- Surfaces, Coatings and Films top 0.01%
- Surface Modification and Superhydrophobicity
- Computational Mechanics top 0.1%
- Fluid Dynamics and Heat Transfer
- Fluid Dynamics and Thin Films
Papers in
-
- Surface Modification and Superhydrophobicity 111
-
- Fluid Dynamics and Heat Transfer 42
- Co-authors
- Michael I. NewtonNeil J. ShirtcliffeCarole C. PerryS. M. RowanGary G. WellsH. Yıldırım ErbilShaun AthertonRodrigo Ledesma‐Aguilar
- Journals
- Langmuir (32 papers)Applied Physics Letters (15 papers)Journal of Applied Physics (9 papers)ACS Applied Materials & Interfaces (8 papers)Soft Matter (7 papers)
- Partner nations
- United KingdomChinaGermany
In The Last Decade
Glen McHale
239 papers receiving 12.1k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Surfaces, Coatings and Films 6.8k
- Computational Mechanics 3.2k
- Biomedical Engineering 4.6k
- Mechanics of Materials 2.2k
- Electrical and Electronic Engineering 4.6k
Countries citing papers authored by Glen McHale
This map shows the geographic impact of Glen McHale'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 Glen McHale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen McHale more than expected).
Fields of papers citing papers by Glen McHale
This network shows the impact of papers produced by Glen McHale. 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 Glen McHale. The network helps show where Glen McHale may publish in the future.
Co-authors
The 25 scholars most cited alongside Glen McHale, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 36 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 64 | |
| 12 | 2022 | 46 | |
| 13 | 2022 | 18 | |
| 14 | 2020 | 20 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 32 | |
| 17 | 2020 | 24 | |
| 18 | 2020 | 33 | |
| 19 | 2017 | 51 | |
| 20 | 2002 | 9 |
About Glen McHale
Glen McHale is a scholar working on Surfaces, Coatings and Films, Computational Mechanics, Biomedical Engineering, Electrical and Electronic Engineering and Earth-Surface Processes, having authored 246 papers that have together received 12.5k indexed citations. Recurring topics across this work include Surface Modification and Superhydrophobicity (111 papers), Acoustic Wave Resonator Technologies (56 papers), Fluid Dynamics and Heat Transfer (42 papers), Electrowetting and Microfluidic Technologies (29 papers), Mechanical and Optical Resonators (27 papers), Microfluidic and Bio-sensing Technologies (26 papers), Nanomaterials and Printing Technologies (25 papers) and Adhesion, Friction, and Surface Interactions (25 papers). The work is most often cited by research in Surfaces, Coatings and Films (6.8k citations), Computational Mechanics (3.2k citations), Biomedical Engineering (4.6k citations), Mechanics of Materials (2.2k citations) and Electrical and Electronic Engineering (4.6k citations). Glen McHale has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include Michael I. Newton, Neil J. Shirtcliffe, Carole C. Perry, S. M. Rowan, Gary G. Wells, H. Yıldırım Erbil, Shaun Atherton, Rodrigo Ledesma‐Aguilar, C. V. Brown and Sanaa Aqil. Their work appears in journals such as Langmuir, Applied Physics Letters, Journal of Applied Physics, ACS Applied Materials & Interfaces and Soft Matter.
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.