Ryan‐Rhys Griffiths

1.3k total citations
14 papers, 460 citations indexed

About

Ryan‐Rhys Griffiths is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Ryan‐Rhys Griffiths has authored 14 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 4 papers in Artificial Intelligence and 4 papers in Materials Chemistry. Recurrent topics in Ryan‐Rhys Griffiths's work include Machine Learning and Algorithms (4 papers), Machine Learning in Materials Science (3 papers) and Computational Drug Discovery Methods (3 papers). Ryan‐Rhys Griffiths is often cited by papers focused on Machine Learning and Algorithms (4 papers), Machine Learning in Materials Science (3 papers) and Computational Drug Discovery Methods (3 papers). Ryan‐Rhys Griffiths collaborates with scholars based in United Kingdom, United States and Germany. Ryan‐Rhys Griffiths's co-authors include José Miguel Hernández-Lobato, Bingqing Cheng, Noam Bernstein, Gábor Cśanyi, Tamás K. Stenczel, Bonan Zhu, Christian Künkel, Johannes T. Margraf, Simon Wengert and Karsten Reuter and has published in prestigious journals such as Accounts of Chemical Research, The Astrophysical Journal and Chemical Science.

In The Last Decade

Ryan‐Rhys Griffiths

14 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan‐Rhys Griffiths United Kingdom 8 245 187 84 74 44 14 460
Li Yin China 14 130 0.5× 75 0.4× 67 0.8× 12 0.2× 74 1.7× 108 613
Igor Rivin United States 17 268 1.1× 168 0.9× 14 0.2× 64 0.9× 45 1.0× 58 1.1k
Alexander Smith United States 11 88 0.4× 223 1.2× 22 0.3× 66 0.9× 204 4.6× 30 582
Angiras Menon United Kingdom 16 281 1.1× 48 0.3× 24 0.3× 63 0.9× 37 0.8× 29 566
Alice E. A. Allen United States 9 313 1.3× 119 0.6× 109 1.3× 17 0.2× 48 1.1× 15 466
Andrew V. Zeigarnik Russia 14 261 1.1× 41 0.2× 73 0.9× 16 0.2× 57 1.3× 32 505
Matthew S. Johnson United States 8 219 0.9× 75 0.4× 32 0.4× 8 0.1× 34 0.8× 19 483
Andrew J. Ballard United Kingdom 12 126 0.5× 45 0.2× 185 2.2× 117 1.6× 13 0.3× 18 535
Thomas Kruse Germany 11 103 0.4× 22 0.1× 73 0.9× 13 0.2× 29 0.7× 37 483
Sejong Kim South Korea 11 313 1.3× 38 0.2× 36 0.4× 55 0.7× 112 2.5× 64 679

Countries citing papers authored by Ryan‐Rhys Griffiths

Since Specialization
Citations

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

Fields of papers citing papers by Ryan‐Rhys Griffiths

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan‐Rhys Griffiths. 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 Ryan‐Rhys Griffiths. The network helps show where Ryan‐Rhys Griffiths may publish in the future.

Co-authorship network of co-authors of Ryan‐Rhys Griffiths

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

All Works

14 of 14 papers shown
1.
Griffiths, Ryan‐Rhys, et al.. (2024). Analyzing global utilization and missed opportunities in debt-for-nature swaps with generative AI. Frontiers in Artificial Intelligence. 7. 1167137–1167137. 2 indexed citations
2.
Griffiths, Ryan‐Rhys, et al.. (2023). Bayesian optimisation for additive screening and yield improvements – beyond one-hot encoding. Digital Discovery. 3(4). 654–666. 17 indexed citations
3.
Griffiths, Ryan‐Rhys, et al.. (2023). Style transfer for improved visualization of underdrawings and ghost paintings: An application to a work by Vincent van Gogh. Electronic Imaging. 35(13). 209–1. 1 indexed citations
4.
Griffiths, Ryan‐Rhys, et al.. (2022). Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks. Electronic Imaging. 34(13). 170–1. 2 indexed citations
5.
Griffiths, Ryan‐Rhys, Jake L. Greenfield, Aditya R. Thawani, et al.. (2022). Data-driven discovery of molecular photoswitches with multioutput Gaussian processes. Chemical Science. 13(45). 13541–13551. 28 indexed citations
6.
Cowen-Rivers, Alexander I., Wenlong Lyu, Zhi Wang, et al.. (2022). HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. Journal of Artificial Intelligence Research. 74. 1269–1349. 46 indexed citations
7.
Cowen-Rivers, Alexander I., et al.. (2021). Are We Forgetting about Compositional Optimisers in Bayesian Optimisation. Journal of Machine Learning Research. 22(160). 1–78. 1 indexed citations
8.
Griffiths, Ryan‐Rhys, Jiachen Jiang, D. J. K. Buisson, et al.. (2021). Modeling the Multiwavelength Variability of Mrk 335 Using Gaussian Processes. Apollo (University of Cambridge). 17 indexed citations
9.
Cheng, Bingqing, Ryan‐Rhys Griffiths, Simon Wengert, et al.. (2020). Mapping Materials and Molecules. Accounts of Chemical Research. 53(9). 1981–1991. 89 indexed citations
10.
Griffiths, Ryan‐Rhys, et al.. (2020). On the voltage-controlled assembly of nanoparticle arrays at electrochemical solid/liquid interfaces. Journal of Electroanalytical Chemistry. 872. 114275–114275. 1 indexed citations
11.
Griffiths, Ryan‐Rhys & José Miguel Hernández-Lobato. (2019). Constrained Bayesian optimization for automatic chemical design using variational autoencoders. Chemical Science. 11(2). 577–586. 219 indexed citations
12.
Griffiths, Ryan‐Rhys, et al.. (2019). Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation. arXiv (Cornell University). 15 indexed citations
13.
Boukouvalas, Alexis, et al.. (2019). Adaptive Sensor Placement for Continuous Spaces. arXiv (Cornell University). 2385–2393. 1 indexed citations
14.
Doxsey, R., H. Bradt, Ryan‐Rhys Griffiths, et al.. (1979). Identification of the variable X-ray sources GX 339-4 and MXB 1659-29 by the scanning modulation collimator on HEAO 1. The Astrophysical Journal. 228. L67–L67. 21 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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