Aimee Gotway Bailey

665 total citations
13 papers, 516 citations indexed

About

Aimee Gotway Bailey is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Economics and Econometrics. According to data from OpenAlex, Aimee Gotway Bailey has authored 13 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Atomic and Molecular Physics, and Optics and 3 papers in Economics and Econometrics. Recurrent topics in Aimee Gotway Bailey's work include Protein Structure and Dynamics (2 papers), Innovation Diffusion and Forecasting (2 papers) and Microstructure and mechanical properties (2 papers). Aimee Gotway Bailey is often cited by papers focused on Protein Structure and Dynamics (2 papers), Innovation Diffusion and Forecasting (2 papers) and Microstructure and mechanical properties (2 papers). Aimee Gotway Bailey collaborates with scholars based in United Kingdom, United States and Netherlands. Aimee Gotway Bailey's co-authors include Roman Gröger, V. Vítek, C. P. Lowe, Matous Mrovec, Christian Elsässer, D. Nguyen-Manh, Andrew Mugler, Koichi Takahashi, Patrick McSharry and François Lafond and has published in prestigious journals such as Physical Review B, Acta Materialia and Journal of Computational Physics.

In The Last Decade

Aimee Gotway Bailey

12 papers receiving 502 citations

Peers

Aimee Gotway Bailey
Duyu Chen United States
Beatrice W. Soh United States
David Montiel United States
Stephanie Board United Kingdom
Yi Peng China
Aimee Gotway Bailey
Citations per year, relative to Aimee Gotway Bailey Aimee Gotway Bailey (= 1×) peers A. N. Nekrasov

Countries citing papers authored by Aimee Gotway Bailey

Since Specialization
Citations

This map shows the geographic impact of Aimee Gotway Bailey'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 Aimee Gotway Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aimee Gotway Bailey more than expected).

Fields of papers citing papers by Aimee Gotway Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aimee Gotway Bailey. 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 Aimee Gotway Bailey. The network helps show where Aimee Gotway Bailey may publish in the future.

Co-authorship network of co-authors of Aimee Gotway Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of Aimee Gotway Bailey. A scholar is included among the top collaborators of Aimee Gotway Bailey 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 Aimee Gotway Bailey. Aimee Gotway Bailey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Bailey, Aimee Gotway, et al.. (2025). Raising the Bar: Automating Consistent and Equitable Student Support with LLMs. 1549–1550.
2.
Bailey, Aimee Gotway, et al.. (2024). Chewing analysis of horses consuming bermudagrass hay in different styles of slow feeders as compared to loose hay. Journal of Equine Veterinary Science. 140. 105133–105133. 2 indexed citations
3.
Bailey, Aimee Gotway, et al.. (2019). Spatial and Temporal Modeling of Urban Building Energy Consumption Using Machine Learning and Open Data. 459–467. 5 indexed citations
4.
Bailey, Aimee Gotway, et al.. (2018). Grid Services Provided By The Interactions Of Energy Sectors In Multi-Energy Systems: Three International Case Studies. Energy Procedia. 155. 209–227. 8 indexed citations
5.
Lafond, François, et al.. (2017). How well do experience curves predict technological progress? A method for making distributional forecasts. Technological Forecasting and Social Change. 128. 104–117. 53 indexed citations
6.
Bailey, Aimee Gotway, Quan M. Bui, J. Doyne Farmer, Robert Margolis, & R. Ramesh. (2012). Forecasting technological innovation. Oxford University Research Archive (ORA) (University of Oxford). 1–6. 1 indexed citations
7.
Mugler, Andrew, et al.. (2012). Membrane Clustering and the Role of Rebinding in Biochemical Signaling. Biophysical Journal. 102(5). 1069–1078. 52 indexed citations
8.
Bailey, Aimee Gotway & C. P. Lowe. (2009). MILCH SHAKE: An efficient method for constraint dynamics applied to alkanes. Journal of Computational Chemistry. 30(15). 2485–2493. 45 indexed citations
9.
Bailey, Aimee Gotway, C. P. Lowe, & Adrian P. Sutton. (2009). REVLD: A coarse-grained model for polymers. Computer Physics Communications. 180(4). 594–599. 1 indexed citations
10.
Bailey, Aimee Gotway, Chris Lowe, Ignacio Pagonabarraga, & Marco Cosentino Lagomarsino. (2009). Accurate simulation dynamics of microscopic filaments using “caterpillar” Oseen hydrodynamics. UvA-DARE (University of Amsterdam). 80(4). 6 indexed citations
11.
Gröger, Roman, Aimee Gotway Bailey, & V. Vítek. (2008). Multiscale modeling of plastic deformation of molybdenum and tungsten: I. Atomistic studies of the core structure and glide of 1/2〈111〉 screw dislocations at 0K. Acta Materialia. 56(19). 5401–5411. 224 indexed citations
12.
Bailey, Aimee Gotway, C. P. Lowe, & Adrian P. Sutton. (2008). Efficient constraint dynamics using MILC SHAKE. Journal of Computational Physics. 227(20). 8949–8959. 12 indexed citations
13.
Mrovec, Matous, Roman Gröger, Aimee Gotway Bailey, et al.. (2007). Bond-order potential for simulations of extended defects in tungsten. Physical Review B. 75(10). 107 indexed citations

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.

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