David J. Whitehouse
- Mechanical Engineering top 0.5%
- Mechanics of Materials top 0.5%
- Computational Mechanics top 0.5%
- Biomedical Engineering top 5%
- Control and Systems Engineering top 2%
- Co-authors
- J. F. ArchardXiangqian JiangTian HuangPaul J. ScottMichael J. PhillipsLiam BluntD.G. ChetwyndJinsong Wang
- Topics
- Surface Roughness and Optical Measurements (56 papers)Advanced Measurement and Metrology Techniques (56 papers)Adhesion, Friction, and Surface Interactions (35 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
David J. Whitehouse
117 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Mechanical Engineering 2.8k
- Mechanics of Materials 1.6k
- Computational Mechanics 1.6k
- Biomedical Engineering 935
- Control and Systems Engineering 536
Countries citing papers authored by David J. Whitehouse
This map shows the geographic impact of David J. Whitehouse'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 David J. Whitehouse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Whitehouse more than expected).
Fields of papers citing papers by David J. Whitehouse
This network shows the impact of papers produced by David J. Whitehouse. 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 David J. Whitehouse. The network helps show where David J. Whitehouse may publish in the future.
Co-authorship network of co-authors of David J. Whitehouse
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Whitehouse. A scholar is included among the top collaborators of David J. Whitehouse 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 David J. Whitehouse. David J. Whitehouse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 3 | |
| 3 | Functional Fractal Analysis of Surfaces | 2 |
| 4 | Comparison of vibrotactile and thermal thresholds with two different measurement systems | 1 |
| 5 | 21 | |
| 6 | 128 | |
| 7 | 55 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 16 | |
| 11 | 0 | |
| 12 | 56 | |
| 13 | 2 | |
| 14 | 35 | |
| 15 | 60 | |
| 16 | High efficiency ultrathin coplanar back contact cells | 0 |
| 17 | 2 | |
| 18 | 76 | |
| 19 | 22 | |
| 20 | The properties of random surfaces of significance in their contactbreakdown → | 686 |
About David J. Whitehouse
David J. Whitehouse is a scholar working on Computational Mechanics, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 121 papers that have together received 4.2k indexed citations. Recurring topics across this work include Surface Roughness and Optical Measurements (56 papers), Advanced Measurement and Metrology Techniques (56 papers) and Adhesion, Friction, and Surface Interactions (35 papers). The work is most often cited by research in Computational Mechanics (1.6k citations), Mechanical Engineering (2.8k citations) and Mechanics of Materials (1.6k citations). David J. Whitehouse has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include J. F. Archard, Xiangqian Jiang, Tian Huang, Paul J. Scott, Michael J. Phillips, Liam Blunt, D.G. Chetwynd, Jinsong Wang, Xingyu Zhao and K.J. Stout. Their work appears in journals such as Optics Letters, Nanotechnology and International Journal of Production Research.
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.