Ben Moseley

732 total citations · 1 hit paper
13 papers, 361 citations indexed

About

Ben Moseley is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Ben Moseley has authored 13 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Astronomy and Astrophysics, 6 papers in Aerospace Engineering and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Ben Moseley's work include Planetary Science and Exploration (6 papers), Astro and Planetary Science (5 papers) and Nuclear Engineering Thermal-Hydraulics (3 papers). Ben Moseley is often cited by papers focused on Planetary Science and Exploration (6 papers), Astro and Planetary Science (5 papers) and Nuclear Engineering Thermal-Hydraulics (3 papers). Ben Moseley collaborates with scholars based in United Kingdom, Switzerland and United States. Ben Moseley's co-authors include Andrew Markham, Tarje Nissen‐Meyer, Valentin Bickel, M. Shirley, Victorita Dolean, Alexander Heinlein, Siddhartha Mishra, Ameya D. Jagtap, J. P. Williams and D. A. Kring and has published in prestigious journals such as Nature Communications, Geophysical Research Letters and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Ben Moseley

13 papers receiving 336 citations

Hit Papers

Finite basis physics-informed neural networks (FBPINNs): ... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ben Moseley United Kingdom 7 152 74 72 68 59 13 361
Xiaodong Qu China 11 15 0.1× 72 1.0× 30 0.4× 30 0.4× 112 1.9× 37 294
J. Winterflood Australia 14 58 0.4× 124 1.7× 21 0.3× 20 0.3× 27 0.5× 38 592
Daniel Zhengyu Huang United States 11 171 1.1× 19 0.3× 88 1.2× 111 1.6× 39 0.7× 25 484
Pengzhan Jin China 7 200 1.3× 11 0.1× 102 1.4× 51 0.8× 18 0.3× 10 291
George Em Karniadakis United States 6 219 1.4× 11 0.1× 63 0.9× 126 1.9× 47 0.8× 14 369
Helin Gong China 11 142 0.9× 11 0.1× 32 0.4× 55 0.8× 227 3.8× 35 388
Fabio Bonaccorso Italy 13 93 0.6× 3 0.0× 35 0.5× 304 4.5× 58 1.0× 30 480
Philippe Blanc-Benon France 12 8 0.1× 36 0.5× 39 0.5× 79 1.2× 117 2.0× 30 291

Countries citing papers authored by Ben Moseley

Since Specialization
Citations

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

Fields of papers citing papers by Ben Moseley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Moseley

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Moseley. A scholar is included among the top collaborators of Ben Moseley 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 Ben Moseley. Ben Moseley 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.
Jagtap, Ameya D., et al.. (2025). Challenges and advancements in modeling shock fronts with physics-informed neural networks: A review and benchmarking study. Neurocomputing. 657. 131440–131440. 6 indexed citations
2.
Moseley, Ben, et al.. (2025). Modern, Efficient, and Differentiable Transport Equation Models Using JAX: Applications to Population Balance Equations. Industrial & Engineering Chemistry Research. 64(8). 4541–4553. 1 indexed citations
3.
Moseley, Ben, et al.. (2025). History-Matching of imbibition flow in fractured porous media Using Physics-Informed Neural Networks (PINNs). Computer Methods in Applied Mechanics and Engineering. 437. 117784–117784. 10 indexed citations
4.
Dolean, Victorita, Alexander Heinlein, Siddhartha Mishra, & Ben Moseley. (2024). Multilevel domain decomposition-based architectures for physics-informed neural networks. Computer Methods in Applied Mechanics and Engineering. 429. 117116–117116. 37 indexed citations
5.
Moseley, Ben, Andrew Markham, & Tarje Nissen‐Meyer. (2023). Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations. Advances in Computational Mathematics. 49(4). 152 indexed citations breakdown →
6.
Bickel, Valentin, et al.. (2023). Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics. IEEE Robotics & Automation Magazine. 31(2). 100–112. 1 indexed citations
7.
Bickel, Valentin, Ben Moseley, Ernst Hauber, et al.. (2022). Cryogeomorphic Characterization of Shadowed Regions in the Artemis Exploration Zone. Geophysical Research Letters. 49(16). 17 indexed citations
8.
Bickel, Valentin, et al.. (2021). Peering into lunar permanently shadowed regions with deep learning. Nature Communications. 12(1). 5607–5607. 28 indexed citations
9.
Moseley, Ben, et al.. (2021). Extreme Low-Light Environment-Driven Image Denoising over Permanently Shadowed Lunar Regions with a Physical Noise Model. Open Repository and Bibliography (University of Luxembourg). 6313–6323. 26 indexed citations
10.
Moseley, Ben, Tarje Nissen‐Meyer, & Andrew Markham. (2020). Deep learning for fast simulation of seismic waves in complex media. Solid Earth. 11(4). 1527–1549. 77 indexed citations
11.
Moseley, Ben, et al.. (2020). Unsupervised Learning for Thermophysical Analysis on the Lunar Surface. The Planetary Science Journal. 1(2). 32–32. 4 indexed citations
12.
Moseley, Ben, et al.. (2020). Low-light image enhancement of permanently shadowed lunar regions with physics-based machine learning. Open Repository and Bibliography (University of Luxembourg). 1 indexed citations
13.
Moseley, Ben, et al.. (2019). Unsupervised learning for thermal anomaly detection on the lunar surface. 1 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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