Nathan Albin
Impact in
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- Computational Fluid Dynamics and Aerodynamics
- Advanced Numerical Methods in Computational Mathematics
- Fluid Dynamics and Turbulent Flows
Papers in
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- Graph theory and applications 3
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- Advanced Mathematical Modeling in Engineering 4
- Co-authors
- Oscar P. BrunoBalasubramaniam NatarajanPunit PrakashPietro Poggi‐CorradiniRadoslav BortelVincenzo NesiHeman ShakeriCaterina Scoglio
- Journals
- Physical review. E (2 papers)Journal of Computational Physics (2 papers)The Journal of the Acoustical Society of America (2 papers)Medical Physics (1 paper)Journal of the Mechanics and Physics of Solids (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Nathan Albin
20 papers receiving 212 citations
Peers
Comparison fields: 5 of 59
- Numerical Analysis 16
- Computational Mechanics 59
- Computational Theory and Mathematics 40
- Mathematical Physics 22
- Statistical and Nonlinear Physics 29
Countries citing papers authored by Nathan Albin
This map shows the geographic impact of Nathan Albin'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 Nathan Albin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Albin more than expected).
Fields of papers citing papers by Nathan Albin
This network shows the impact of papers produced by Nathan Albin. 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 Nathan Albin. The network helps show where Nathan Albin may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Nathan Albin, 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 0 | |
| 5 | 2021 | 3 | |
| 6 | 2019 | 2 | |
| 7 | 2018 | 2 | |
| 8 | 2017 | 8 | |
| 9 | 2016 | 16 | |
| 10 | 2016 | 54 | |
| 11 | 2016 | 4 | |
| 12 | 2016 | 2 | |
| 13 | 2015 | 4 | |
| 14 | 2015 | 11 | |
| 15 | 2014 | 4 | |
| 16 | 2011 | 17 | |
| 17 | 2010 | 1 | |
| 18 | 2009 | 8 | |
| 19 | 2007 | 5 | |
| 20 | 2007 | 14 |
About Nathan Albin
Nathan Albin is a scholar working on Geometry and Topology, Computational Theory and Mathematics, Mathematical Physics, Statistical and Nonlinear Physics and Discrete Mathematics and Combinatorics, having authored 24 papers that have together received 222 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (4 papers), Complex Network Analysis Techniques (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers), Graph theory and applications (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Ultrasound Imaging and Elastography (3 papers), Ultrasound and Hyperthermia Applications (3 papers) and Composite Material Mechanics (3 papers). The work is most often cited by research in Numerical Analysis (16 citations), Computational Mechanics (59 citations), Computational Theory and Mathematics (40 citations), Mathematical Physics (22 citations) and Statistical and Nonlinear Physics (29 citations). Nathan Albin has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Oscar P. Bruno, Balasubramaniam Natarajan, Punit Prakash, Pietro Poggi‐Corradini, Radoslav Bortel, Vincenzo Nesi, Heman Shakeri, Caterina Scoglio, Robin O. Cleveland and Andrej Cherkaev. Their work appears in journals such as Physical review. E, Journal of Computational Physics, The Journal of the Acoustical Society of America, Medical Physics and Journal of the Mechanics and Physics of Solids.
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.