Steven Atkinson
Impact in
- Condensed Matter Physics top 10%
- Theoretical and Computational Physics
Papers in
-
- Model Reduction and Neural Networks 5
-
- Advanced Multi-Objective Optimization Algorithms 4
- Co-authors
- Salvatore Torquato (5 shared papers)Frank H. Stillinger (3 shared papers)Nicholas Zabaras (4 shared papers)Ge Zhang (1 shared paper)Adam B. Hopkins (1 shared paper)Yang Jiao (1 shared paper)Karel Matouš (1 shared paper)Andrew Gillman (1 shared paper)
- Journals
- Physical review. E (2 papers)Journal of Computational Physics (1 paper)Journal of Mechanical Design (1 paper)Proceedings of the National Academy of Sciences (1 paper)ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering (1 paper)
- Partner nations
- United StatesNorwayIsrael
In The Last Decade
Steven Atkinson
12 papers receiving 304 citations
Peers
Comparison fields: 5 of 69
- Acoustics and Ultrasonics 8
- Condensed Matter Physics 75
- Statistics, Probability and Uncertainty 33
- Materials Chemistry 164
- Statistical and Nonlinear Physics 36
Countries citing papers authored by Steven Atkinson
This map shows the geographic impact of Steven Atkinson'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 Steven Atkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Atkinson more than expected).
Fields of papers citing papers by Steven Atkinson
This network shows the impact of papers produced by Steven Atkinson. 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 Steven Atkinson. The network helps show where Steven Atkinson may publish in the future.
Co-authors
The 17 scholars most cited alongside Steven Atkinson, 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 | 2016 | 63 | |
| 2 | 2014 | 56 | |
| 3 | 2012 | 38 | |
| 4 | 2013 | 32 | |
| 5 | 2019 | 30 | |
| 6 | 2013 | 26 | |
| 7 | 2020 | 26 | |
| 8 | 2021 | 16 | |
| 9 | 2016 | 13 | |
| 10 | 2021 | 5 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 1 |
About Steven Atkinson
Steven Atkinson is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics, Materials Chemistry, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 12 papers that have together received 308 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (5 papers), Pickering emulsions and particle stabilization (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Probabilistic and Robust Engineering Design (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Material Dynamics and Properties (3 papers), Theoretical and Computational Physics (2 papers) and Composite Material Mechanics (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (8 citations), Condensed Matter Physics (75 citations), Statistics, Probability and Uncertainty (33 citations), Materials Chemistry (164 citations) and Statistical and Nonlinear Physics (36 citations). Steven Atkinson has collaborated with scholars based in United States, Norway and Israel. Frequent co-authors include Salvatore Torquato, Frank H. Stillinger, Nicholas Zabaras, Ge Zhang, Adam B. Hopkins, Yang Jiao, Karel Matouš, Andrew Gillman, Sayan Ghosh and Liping Wang. Their work appears in journals such as Physical review. E, Journal of Computational Physics, Journal of Mechanical Design, Proceedings of the National Academy of Sciences and ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering.
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.