Robert Bassett

1000 total citations
19 papers, 344 citations indexed

About

Robert Bassett is a scholar working on Astronomy and Astrophysics, Molecular Biology and Instrumentation. According to data from OpenAlex, Robert Bassett has authored 19 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Astronomy and Astrophysics, 4 papers in Molecular Biology and 3 papers in Instrumentation. Recurrent topics in Robert Bassett's work include Galaxies: Formation, Evolution, Phenomena (14 papers), Astrophysics and Star Formation Studies (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Robert Bassett is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (14 papers), Astrophysics and Star Formation Studies (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Robert Bassett collaborates with scholars based in Australia, United States and Canada. Robert Bassett's co-authors include Karl Glazebrook, Danail Obreschkow, David B. Fisher, Roberto Abraham, Emily Wisnioski, Ivana Damjanov, Andrew W. Green, Peter McGregor, Emma Ryan‐Weber and Bogdan Gabryś and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and Computers & Chemical Engineering.

In The Last Decade

Robert Bassett

19 papers receiving 321 citations

Peers

Robert Bassett
Emil Popow Germany
Nicole G. Czakon United States
M. Azzaro Spain
Hakeem M. Oluseyi United States
David J. Westpfahl United States
Xiaolei Zhang United States
Colin J. Burke United States
Emil Popow Germany
Robert Bassett
Citations per year, relative to Robert Bassett Robert Bassett (= 1×) peers Emil Popow

Countries citing papers authored by Robert Bassett

Since Specialization
Citations

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

Fields of papers citing papers by Robert Bassett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Bassett. 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 Robert Bassett. The network helps show where Robert Bassett may publish in the future.

Co-authorship network of co-authors of Robert Bassett

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

All Works

19 of 19 papers shown
1.
Peng, Jian, et al.. (2025). Adaptive Ensemble-Based Hyperparameter-Free Just-In-Time Learning for Robust Cell Culture Process Monitoring. Procedia Computer Science. 264. 157–166. 1 indexed citations
2.
Bassett, Robert, et al.. (2025). Capturing uncertainty in black-box chromatography modelling using conformal prediction and Gaussian processes. Computers & Chemical Engineering. 199. 109136–109136. 2 indexed citations
3.
Khuat, Thanh Tung, et al.. (2025). Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes. Journal of Raman Spectroscopy. 56(7). 623–636. 1 indexed citations
4.
Khuat, Thanh Tung, et al.. (2024). Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities. Computers & Chemical Engineering. 182. 108585–108585. 41 indexed citations
5.
Obreschkow, Danail, Karl Glazebrook, Robert Bassett, et al.. (2024). LOW ANGULAR MOMENTUM IN CLUMPY, TURBULENT DISK GALAXIES. Figshare. 3 indexed citations
6.
Bassett, Robert, Emma Ryan‐Weber, Jeff Cooke, et al.. (2022). A cautionary tale of Ly C escape fraction estimates from high-redshift galaxies. Monthly Notices of the Royal Astronomical Society. 511(4). 5730–5741. 3 indexed citations
7.
Sun, Yuan, et al.. (2022). A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development. SHILAP Revista de lepidopterología. 7. 100080–100080. 10 indexed citations
8.
Bassett, Robert, Emma Ryan‐Weber, Jeff Cooke, et al.. (2021). IGM transmission bias for z ≥ 2.9 Lyman continuum detected galaxies. Monthly Notices of the Royal Astronomical Society. 502(1). 108–126. 18 indexed citations
9.
Girard, Marianne, David B. Fisher, Alberto D. Bolatto, et al.. (2021). Systematic Difference between Ionized and Molecular Gas Velocity Dispersions in z ∼ 1-2 Disks and Local Analogs. UWA Profiles and Research Repository (University of Western Australia). 4 indexed citations
10.
Meštrić, U., Emma Ryan‐Weber, Jeff Cooke, et al.. (2021). Upper limits on the escape fraction of ionizing radiation from galaxies at 2 ≲ z < 6. Monthly Notices of the Royal Astronomical Society. 508(3). 4443–4458. 14 indexed citations
11.
Ryan‐Weber, Emma, Jeff Cooke, Robert Bassett, et al.. (2020). Outside the Lyman-break box: detecting Lyman continuum emitters at 3.5 < z < 5.1 with CLAUDS. Monthly Notices of the Royal Astronomical Society. 494(4). 4986–5007. 16 indexed citations
12.
Bassett, Robert & Caroline Foster. (2019). Prospects for recovering galaxy intrinsic shapes from projected quantities. Monthly Notices of the Royal Astronomical Society. 487(2). 2354–2371. 13 indexed citations
13.
Bassett, Robert, Emma Ryan‐Weber, Jeff Cooke, et al.. (2018). On the lack of correlation between [O iii]/[O ii] and Lyman continuum escape fraction. Monthly Notices of the Royal Astronomical Society. 483(4). 5223–5245. 36 indexed citations
14.
Fisher, David B., Karl Glazebrook, Emily Wisnioski, et al.. (2017). The connection between the peaks in velocity dispersion and star-forming clumps of turbulent galaxies. Monthly Notices of the Royal Astronomical Society. 474(1). 522–535. 16 indexed citations
15.
Bassett, Robert, Kenji Bekki, L. Cortese, & W. J. Couch. (2017). The formation of S0 galaxies with counter-rotating neutral and molecular hydrogen. Monthly Notices of the Royal Astronomical Society. 471(2). 1892–1909. 31 indexed citations
16.
Fisher, David B., Karl Glazebrook, Ivana Damjanov, et al.. (2016). DYNAMO-HST survey: clumps in nearby massive turbulent discs and the effects of clump clustering on kiloparsec scale measurements of clumps. Monthly Notices of the Royal Astronomical Society. 464(1). 491–507. 62 indexed citations
17.
Bassett, Robert, Karl Glazebrook, David B. Fisher, et al.. (2016). Integrated and Resolved Dust Attenuation in Clumpy Star-Forming Galaxies at 0.07 < z < 0.14. Monthly Notices of the Royal Astronomical Society. stw2983–stw2983. 12 indexed citations
18.
Fisher, David B., Karl Glazebrook, Alberto D. Bolatto, et al.. (2014). EXTREME GAS FRACTIONS IN CLUMPY, TURBULENT DISK GALAXIES AT z ∼ 0.1. The Astrophysical Journal Letters. 790(2). L30–L30. 33 indexed citations
19.
Bassett, Robert, Karl Glazebrook, David B. Fisher, et al.. (2014). DYNAMO – II. Coupled stellar and ionized-gas kinematics in two low-redshift clumpy discs. Monthly Notices of the Royal Astronomical Society. 442(4). 3206–3221. 28 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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