Peter Toson
- Computational Mechanics top 5%
- Granular flow and fluidized beds 10
- Pharmaceutical Science top 10%
- Drug Solubulity and Delivery Systems 2
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- Magnetic Properties of Alloys 7
- Magnetic Properties and Applications 3
- Mechanical Engineering top 10%
- Mineral Processing and Grinding 5
- Industrial Engineering and Technologies 2
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- Magnetic properties of thin films 7
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- Particle Dynamics in Fluid Flows 2
- Co-authors
- Johannes KhinastDalibor JajčevićPankaj DoshiEva SiegmannJ. FidlerThomas ForgberDaniel O. BlackwoodJán Rusz
- Journals
- International Journal of Pharmaceutics (5 papers)Powder Technology (3 papers)IEEE Transactions on Magnetics (2 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Peter Toson
22 papers receiving 481 citations
Peers
Comparison fields: 5 of 66
- Computational Mechanics 194
- Pharmaceutical Science 48
- Electronic, Optical and Magnetic Materials 122
- Mechanical Engineering 189
- Atomic and Molecular Physics, and Optics 93
Countries citing papers authored by Peter Toson
This map shows the geographic impact of Peter Toson'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 Peter Toson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Toson more than expected).
Fields of papers citing papers by Peter Toson
This network shows the impact of papers produced by Peter Toson. 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 Peter Toson. The network helps show where Peter Toson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Toson, 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 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 5 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 22 | |
| 9 | 2019 | 25 | |
| 10 | 2019 | 34 | |
| 11 | 2019 | 43 | |
| 12 | 2019 | 28 | |
| 13 | 2018 | 71 | |
| 14 | 2017 | 23 | |
| 15 | 2015 | 33 | |
| 16 | 2015 | 31 | |
| 17 | 2015 | 60 | |
| 18 | 2015 | 9 | |
| 19 | 2014 | 6 | |
| 20 | 2014 | 5 |
About Peter Toson
Peter Toson is a scholar working on Computational Mechanics, Electronic, Optical and Magnetic Materials, Pharmaceutical Science, Mechanical Engineering and Atomic and Molecular Physics, and Optics, having authored 22 papers that have together received 488 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (10 papers), Magnetic Properties of Alloys (7 papers), Magnetic properties of thin films (7 papers), Mineral Processing and Grinding (5 papers), Magnetic Properties and Applications (3 papers), Drug Solubulity and Delivery Systems (2 papers), Industrial Engineering and Technologies (2 papers) and Particle Dynamics in Fluid Flows (2 papers). The work is most often cited by research in Computational Mechanics (194 citations), Pharmaceutical Science (48 citations), Electronic, Optical and Magnetic Materials (122 citations), Mechanical Engineering (189 citations) and Atomic and Molecular Physics, and Optics (93 citations). Peter Toson has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Johannes Khinast, Dalibor Jajčević, Pankaj Doshi, Eva Siegmann, J. Fidler, Thomas Forgber, Daniel O. Blackwood, Ján Rusz, Mary T. am Ende and Å. Edström. Their work appears in journals such as International Journal of Pharmaceutics, Powder Technology, IEEE Transactions on Magnetics, Physica B Condensed Matter and Journal of Alloys and Compounds.
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.