Adam Paxson
- Surfaces, Coatings and Films top 0.1%
- Computational Mechanics top 1%
- Electrical and Electronic Engineering top 5%
- Mechanics of Materials top 2%
- Biomedical Engineering top 5%
- Co-authors
- Kripa K. VaranasiRajeev DhimanSushant AnandHyuk‐Min KwonGisele AzimiJonathan D. SmithKaren K. GleasonJosé Luis Yagüe
- Topics
- Surface Modification and Superhydrophobicity (15 papers)Fluid Dynamics and Heat Transfer (10 papers)Adhesion, Friction, and Surface Interactions (5 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Adam Paxson
19 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Surfaces, Coatings and Films 1.7k
- Computational Mechanics 787
- Electrical and Electronic Engineering 706
- Mechanics of Materials 537
- Biomedical Engineering 516
Countries citing papers authored by Adam Paxson
This map shows the geographic impact of Adam Paxson'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 Adam Paxson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Paxson more than expected).
Fields of papers citing papers by Adam Paxson
This network shows the impact of papers produced by Adam Paxson. 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 Adam Paxson. The network helps show where Adam Paxson may publish in the future.
Co-authorship network of co-authors of Adam Paxson
This figure shows the co-authorship network connecting the top 25 collaborators of Adam Paxson. A scholar is included among the top collaborators of Adam Paxson 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 Adam Paxson. Adam Paxson 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 | 8 | |
| 4 | 8 | |
| 5 | 56 | |
| 6 | 51 | |
| 7 | 185 | |
| 8 | Physical model of kitesurfing | 1 |
| 9 | Self-similarity of contact line depinning from textured surfaces | 2 |
| 10 | Hydrophobicity of rare-earth oxide ceramicsbreakdown → | 621 |
| 11 | 11 | |
| 12 | 194 | |
| 13 | 228 | |
| 14 | Droplet condensation and growth on nanotextured surfaces impregnated with an immiscible liquid | 1 |
| 15 | 5 | |
| 16 | Enhanced Condensation on Lubricant-Impregnated Nanotextured Surfacesbreakdown → | 513 |
| 17 | 200 | |
| 18 | 160 | |
| 19 | 48 | |
| 20 | 2 |
About Adam Paxson
Adam Paxson is a scholar working on Surfaces, Coatings and Films, Computational Mechanics and Energy Engineering and Power Technology, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Surface Modification and Superhydrophobicity (15 papers), Fluid Dynamics and Heat Transfer (10 papers) and Adhesion, Friction, and Surface Interactions (5 papers). The work is most often cited by research in Surfaces, Coatings and Films (1.7k citations), Computational Mechanics (787 citations) and Mechanics of Materials (537 citations). Adam Paxson has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Kripa K. Varanasi, Rajeev Dhiman, Sushant Anand, Hyuk‐Min Kwon, Gisele Azimi, Jonathan D. Smith, Karen K. Gleason, José Luis Yagüe, Konrad Rykaczewski and Neelesh A. Patankar. Their work appears in journals such as Physical Review Letters, Advanced Materials and Nature Communications.
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.