Ian Vernon

1.7k total citations · 1 hit paper
43 papers, 950 citations indexed

About

Ian Vernon is a scholar working on Artificial Intelligence, Ocean Engineering and Management Science and Operations Research. According to data from OpenAlex, Ian Vernon has authored 43 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Ocean Engineering and 10 papers in Management Science and Operations Research. Recurrent topics in Ian Vernon's work include Reservoir Engineering and Simulation Methods (9 papers), Gaussian Processes and Bayesian Inference (9 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Ian Vernon is often cited by papers focused on Reservoir Engineering and Simulation Methods (9 papers), Gaussian Processes and Bayesian Inference (9 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Ian Vernon collaborates with scholars based in United Kingdom, Brazil and Uganda. Ian Vernon's co-authors include Michael Goldstein, R. G. Bower, Trevelyan J. McKinley, Nicky McCreesh, Richard G. White, Ioannis Andrianakis, Rebecca N. Nsubuga, Jeremy E. Oakley, Anne-Christine Davis and Carlos S. Frenk and has published in prestigious journals such as PLoS ONE, Monthly Notices of the Royal Astronomical Society and Nature Physics.

In The Last Decade

Ian Vernon

40 papers receiving 924 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ab initio predictions link the neutron skin of 208Pb to nuclear forces

2022 148 citations B. S. Hu, W. G. Jiang et al. Nature Physics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ian Vernon United Kingdom	16	244	242	140	131	103	43	950
M. Gelfusa Italy	19	520 2.1×	118 0.5×	248 1.8×	39 0.3×	22 0.2×	163	1.4k
Carolyn Kuranz United States	22	1.0k 4.2×	247 1.0×	47 0.3×	38 0.3×	79 0.8×	119	1.5k
Lawrence R. Mead United States	12	83 0.3×	63 0.3×	62 0.4×	8 0.1×	81 0.8×	37	858
Paul I. Nelson United States	12	245 1.0×	819 3.4×	145 1.0×	69 0.5×	110 1.1×	38	1.6k
Christoph Überhuber Austria	4	62 0.3×	41 0.2×	27 0.2×	25 0.2×	33 0.3×	7	634
Charles Nakhleh United States	10	656 2.7×	141 0.6×	39 0.3×	23 0.2×	66 0.6×	19	931
Elise de Doncker-Kapenga United States	3	63 0.3×	41 0.2×	24 0.2×	25 0.2×	33 0.3×	3	618
André M. C. Souza Brazil	19	139 0.6×	35 0.1×	196 1.4×	9 0.1×	16 0.2×	97	1.6k
Frédéri Viens United States	23	277 1.1×	27 0.1×	34 0.2×	242 1.8×	22 0.2×	83	1.7k

Countries citing papers authored by Ian Vernon

Since Specialization

Citations

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

Fields of papers citing papers by Ian Vernon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Vernon

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

All Works

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20 of 20 papers shown

Vernon, Ian, et al.. (2024). iTrustRIC: an intelligent trusted RIC in Open RAN. IET conference proceedings.. 2024(4). 69–71. 1 indexed citations

Vernon, Ian, et al.. (2024). Bayesian Emulation for Computer Models with Multiple Partial Discontinuities. Bayesian Analysis. 21(1).

Vernon, Ian, et al.. (2024). Emulation and History Matching Using the hmer Package. Journal of Statistical Software. 109(10). 4 indexed citations

Kugel, Roi, Joop Schaye, Matthieu Schaller, et al.. (2023). FLAMINGO: calibrating large cosmological hydrodynamical simulations with machine learning. Monthly Notices of the Royal Astronomical Society. 526(4). 6103–6127. 49 indexed citations

Vernon, Ian, Joseph Aylett-Bullock, Carolina Cuesta-Lazaro, et al.. (2022). Bayesian emulation and history matching of JUNE. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2233). 20220039–20220039. 10 indexed citations

Hu, B. S., W. G. Jiang, T. Miyagi, et al.. (2022). Ab initio predictions link the neutron skin of 208Pb to nuclear forces. Nature Physics. 18(10). 1196–1200. 148 indexed citations breakdown →

Swallow, Ben, Paul Birrell, Mark A. Burgman, et al.. (2022). Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling. Epidemics. 38. 100547–100547. 21 indexed citations

Challenor, Peter, Rita Borgo, Thibaud Porphyre, et al.. (2022). Complex model calibration through emulation, a worked example for a stochastic epidemic model. Epidemics. 39. 100574–100574. 5 indexed citations

Aylett-Bullock, Joseph, Carolina Cuesta-Lazaro, Miguel Icaza-Lizaola, et al.. (2021). J une : open-source individual-based epidemiology simulation. Royal Society Open Science. 8(7). 210506–210506. 15 indexed citations

10.

Bordas, Rafel, et al.. (2020). A Bayesian Optimisation Workflow for Field Development Planning Under Geological Uncertainty. 1–20. 3 indexed citations

11.

McCreesh, Nicky, Ioannis Andrianakis, Rebecca N. Nsubuga, et al.. (2018). Choice of time horizon critical in estimating costs and effects of changes to HIV programmes. PLoS ONE. 13(5). e0196480–e0196480. 3 indexed citations

12.

Vernon, Ian, et al.. (2018). Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions. BMC Systems Biology. 12(1). 1–1. 49 indexed citations

13.

Avansi, Guilherme Daniel, Célio Maschio, Denis José Schiozer, et al.. (2018). Gaining more understanding about reservoir behavior through assimilation of breakthrough time and productivity deviation in the history matching process. Journal of Petroleum Science and Engineering. 173. 1080–1096. 9 indexed citations

14.

McCreesh, Nicky, Ioannis Andrianakis, Rebecca N. Nsubuga, et al.. (2017). Improving ART programme retention and viral suppression are key to maximising impact of treatment as prevention – a modelling study. BMC Infectious Diseases. 17(1). 557–557. 9 indexed citations

15.

McCreesh, Nicky, Ioannis Andrianakis, Rebecca N. Nsubuga, et al.. (2017). Universal test, treat, and keep: improving ART retention is key in cost-effective HIV control in Uganda. BMC Infectious Diseases. 17(1). 322–322. 28 indexed citations

16.

Andrianakis, Ioannis, Ian Vernon, Nicky McCreesh, et al.. (2015). Bayesian History Matching of Complex Infectious Disease Models Using Emulation: A Tutorial and a Case Study on HIV in Uganda. PLoS Computational Biology. 11(1). e1003968–e1003968. 95 indexed citations

17.

Vernon, Ian, et al.. (2014). Use of Emulator Methodology for Uncertainty Reduction Quantification. Durham Research Online (Durham University). 8 indexed citations

18.

Vernon, Ian, Allan Seheult, & Michael Goldstein. (2010). Modular dynamic emulation and internal model discrepancy for a rainfall runoff model.. Durham Research Online (Durham University). 1 indexed citations

19.

Vernon, Ian & Michael Goldstein. (2010). A Bayes Linear approach to systems biology.. Durham Research Online (Durham University). 4 indexed citations

20.

Davis, Anne-Christine, Stephen C. Davis, Warren B. Perkins, & Ian Vernon. (2000). Brane World Phenomenology and the Z_2 Symmetry. arXiv (Cornell University). 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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