P. Armstrong
Impact in
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- Electrospun Nanofibers in Biomedical Applications
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- 3D Printing in Biomedical Research
- Nanoplatforms for cancer theranostics
Papers in
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- Distributed and Parallel Computing Systems 6
- Advanced Data Storage Technologies 3
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- Gamma-ray bursts and supernovae 4
- Co-authors
- Ryan G. Wylie (2 shared papers)Tianshe Yang (1 shared paper)Aoune Barhoumi (1 shared paper)Weiping Wang (1 shared paper)Qian Liu (1 shared paper)Changyou Zhan (1 shared paper)Daniel S. Kohane (2 shared papers)Jonathan T. Butcher (1 shared paper)
- Journals
- Monthly Notices of the Royal Astronomical Society (1 paper)BMC Neuroscience (1 paper)Publications of the Astronomical Society of Australia (1 paper)Urology (1 paper)Biomaterials (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
P. Armstrong
18 papers receiving 341 citations
Peers
Comparison fields: 5 of 80
- Biomaterials 62
- Biomedical Engineering 141
- Automotive Engineering 36
- Sensory Systems 14
- Dermatology 21
Countries citing papers authored by P. Armstrong
This map shows the geographic impact of P. Armstrong'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 P. Armstrong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Armstrong more than expected).
Fields of papers citing papers by P. Armstrong
This network shows the impact of papers produced by P. Armstrong. 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 P. Armstrong. The network helps show where P. Armstrong may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Armstrong, 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 | 2015 | 110 | |
| 2 | 2016 | 66 | |
| 3 | 2012 | 52 | |
| 4 | 2011 | 26 | |
| 5 | 2014 | 21 | |
| 6 | 2012 | 14 | |
| 7 | 2011 | 10 | |
| 8 | 1967 | 10 | |
| 9 | 2005 | 9 | |
| 10 | 2015 | 8 | |
| 11 | 2014 | 7 | |
| 12 | 2010 | 5 | |
| 13 | 2018 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2012 | 3 | |
| 16 | 2007 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2008 | 1 | |
| 20 | 2024 | 0 |
About P. Armstrong
P. Armstrong is a scholar working on Computer Networks and Communications, Astronomy and Astrophysics, Information Systems, Information Systems and Management and Hardware and Architecture, having authored 20 papers that have together received 354 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (6 papers), Cloud Computing and Resource Management (4 papers), Gamma-ray bursts and supernovae (4 papers), Parallel Computing and Optimization Techniques (3 papers), Advanced Data Storage Technologies (3 papers), Scientific Computing and Data Management (3 papers), Astrophysics and Cosmic Phenomena (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Biomaterials (62 citations), Biomedical Engineering (141 citations), Automotive Engineering (36 citations), Sensory Systems (14 citations) and Dermatology (21 citations). P. Armstrong has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Ryan G. Wylie, Tianshe Yang, Aoune Barhoumi, Weiping Wang, Qian Liu, Changyou Zhan, Daniel S. Kohane, Jonathan T. Butcher, Kevin H. Kang and Bin Duan. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, BMC Neuroscience, Publications of the Astronomical Society of Australia, Urology and Biomaterials.
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.