Donny Winston
- Materials Chemistry top 5%
- Electrical and Electronic Engineering top 5%
- Renewable Energy, Sustainability and the Environment top 5%
- Biomedical Engineering top 10%
- Mechanical Engineering top 10%
- Co-authors
- Kristin A. PerssonShyue Ping OngRichard TranBalachandran RadhakrishnanZihan XuWenhao SunJoseph H. MontoyaKarl K. Berggren
- Topics
- Machine Learning in Materials Science (9 papers)Advancements in Photolithography Techniques (6 papers)Electron and X-Ray Spectroscopy Techniques (5 papers)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Donny Winston
22 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Materials Chemistry 1.3k
- Electrical and Electronic Engineering 743
- Renewable Energy, Sustainability and the Environment 366
- Biomedical Engineering 349
- Mechanical Engineering 245
Countries citing papers authored by Donny Winston
This map shows the geographic impact of Donny Winston'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 Donny Winston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donny Winston more than expected).
Fields of papers citing papers by Donny Winston
This network shows the impact of papers produced by Donny Winston. 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 Donny Winston. The network helps show where Donny Winston may publish in the future.
Co-authorship network of co-authors of Donny Winston
This figure shows the co-authorship network connecting the top 25 collaborators of Donny Winston. A scholar is included among the top collaborators of Donny Winston 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 Donny Winston. Donny Winston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 110 | |
| 5 | 183 | |
| 6 | 109 | |
| 7 | 8 | |
| 8 | 52 | |
| 9 | 193 | |
| 10 | 249 | |
| 11 | Surface energies of elemental crystalsbreakdown → | 763 |
| 12 | 10 | |
| 13 | 17 | |
| 14 | 36 | |
| 15 | 42 | |
| 16 | 19 | |
| 17 | 62 | |
| 18 | 42 | |
| 19 | 90 | |
| 20 | Moving Toward Transparency and Disclosure in the Energy Performance of Green Buildings | 6 |
About Donny Winston
Donny Winston is a scholar working on Surfaces, Coatings and Films, Materials Chemistry and Catalysis, having authored 22 papers that have together received 2.1k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (9 papers), Advancements in Photolithography Techniques (6 papers) and Electron and X-Ray Spectroscopy Techniques (5 papers). The work is most often cited by research in Structural Biology (66 citations), Materials Chemistry (1.3k citations) and Metals and Alloys (65 citations). Donny Winston has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Kristin A. Persson, Shyue Ping Ong, Richard Tran, Balachandran Radhakrishnan, Zihan Xu, Wenhao Sun, Joseph H. Montoya, Karl K. Berggren, Xiangguo Li and Chi Chen. Their work appears in journals such as Nature, Nano Letters and Applied Physics Letters.
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.