David Randell

1.0k total citations
49 papers, 761 citations indexed

About

David Randell is a scholar working on Global and Planetary Change, Oceanography and Finance. According to data from OpenAlex, David Randell has authored 49 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Global and Planetary Change, 17 papers in Oceanography and 11 papers in Finance. Recurrent topics in David Randell's work include Ocean Waves and Remote Sensing (16 papers), Hydrology and Drought Analysis (13 papers) and Climate variability and models (12 papers). David Randell is often cited by papers focused on Ocean Waves and Remote Sensing (16 papers), Hydrology and Drought Analysis (13 papers) and Climate variability and models (12 papers). David Randell collaborates with scholars based in United Kingdom, Netherlands and Malaysia. David Randell's co-authors include Philip Jonathan, Kevin Ewans, Jonathan A. Tawn, Marios Christou, H. Boer, Oliver Kosut, Emma Eastoe, Michael Goldstein, Laks Raghupathi and Alison Raby and has published in prestigious journals such as Journal of the American Statistical Association, Scientific Reports and Geophysical Research Letters.

In The Last Decade

David Randell

49 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Randell United Kingdom 18 273 190 179 178 167 49 761
Ed Mackay United Kingdom 16 106 0.4× 274 1.4× 335 1.9× 116 0.7× 143 0.9× 44 780
W.E. Bardsley New Zealand 13 174 0.6× 28 0.1× 47 0.3× 197 1.1× 71 0.4× 78 492
R.I. Harris United Kingdom 19 277 1.0× 35 0.2× 17 0.1× 791 4.4× 285 1.7× 36 1.1k
D.M. Deaves United Kingdom 14 118 0.4× 58 0.3× 46 0.3× 469 2.6× 174 1.0× 33 769
Jake Badger Denmark 24 399 1.5× 192 1.0× 25 0.1× 572 3.2× 655 3.9× 77 1.7k
M.G. Marietta United States 13 77 0.3× 78 0.4× 274 1.5× 406 2.3× 63 0.4× 30 855
Femke C. Vossepoel Netherlands 13 234 0.9× 244 1.3× 384 2.1× 93 0.5× 198 1.2× 41 830
Xiaoli Guo Larsén Denmark 23 381 1.4× 499 2.6× 42 0.2× 451 2.5× 744 4.5× 90 1.5k
A. S. Mikhail China 6 101 0.4× 34 0.2× 20 0.1× 420 2.4× 111 0.7× 10 955
William C. Lennox Canada 16 238 0.9× 9 0.0× 144 0.8× 457 2.6× 67 0.4× 43 929

Countries citing papers authored by David Randell

Since Specialization
Citations

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

Fields of papers citing papers by David Randell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Randell

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

All Works

20 of 20 papers shown
1.
Randell, David, et al.. (2024). Estimating metocean environments associated with extreme structural response to demonstrate the dangers of environmental contour methods. Ocean Engineering. 311. 118754–118754. 4 indexed citations
3.
Weidmann, Damien, et al.. (2024). Long-term continuous monitoring of methane emissions at an oil and gas facility using a multi-open-path laser dispersion spectrometer. Scientific Reports. 14(1). 623–623. 7 indexed citations
5.
Randell, David, et al.. (2023). Avoiding methane emission rate underestimates when using the divergence method. Environmental Research Letters. 18(11). 114033–114033. 3 indexed citations
6.
Jonathan, Philip, et al.. (2021). Uncertainties in return values from extreme value analysis of peaks over threshold using the generalised Pareto distribution. Ocean Engineering. 220. 107725–107725. 29 indexed citations
8.
Eastoe, Emma, et al.. (2021). Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data. Journal of the American Statistical Association. 118(542). 1373–1384. 11 indexed citations
9.
Randell, David, et al.. (2019). Design conditions for waves and water levels using extreme value analysis with covariates. Ocean Engineering. 173. 851–866. 8 indexed citations
10.
Jonathan, Philip, et al.. (2019). On the Estimation and Application of Directional Design Criteria. 5 indexed citations
11.
Randell, David, et al.. (2018). A model for the directional evolution of severe ocean storms. Environmetrics. 30(1). 4 indexed citations
12.
Goldstein, Michael, et al.. (2018). Bayes linear analysis of risks in sequential optimal design problems. Electronic Journal of Statistics. 12(2). 2 indexed citations
13.
Randell, David, et al.. (2018). Uncertainty quantification in estimation of extreme environments. Coastal Engineering. 141. 36–51. 13 indexed citations
15.
Randell, David, et al.. (2016). Statistics of extreme ocean environments: Non-stationary inference for directionality and other covariate effects. Ocean Engineering. 119. 30–46. 14 indexed citations
16.
17.
Goldstein, Michael, et al.. (2015). Bayes linear analysis for Bayesian optimal experimental design. Journal of Statistical Planning and Inference. 171. 115–129. 11 indexed citations
18.
Boer, H., et al.. (2014). Flow Monitoring and Production Profiling Using DAS. SPE Annual Technical Conference and Exhibition. 47 indexed citations
20.
Randell, David, Michael Goldstein, & Philip Jonathan. (2013). Bayes linear variance structure learning for inspection of large scale physical systems. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 228(1). 3–18. 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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