Edward Cripps

1.1k total citations
50 papers, 604 citations indexed

About

Edward Cripps is a scholar working on Environmental Engineering, Global and Planetary Change and Statistics and Probability. According to data from OpenAlex, Edward Cripps has authored 50 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 9 papers in Global and Planetary Change and 9 papers in Statistics and Probability. Recurrent topics in Edward Cripps's work include Soil Geostatistics and Mapping (6 papers), Statistical Methods and Bayesian Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers). Edward Cripps is often cited by papers focused on Soil Geostatistics and Mapping (6 papers), Statistical Methods and Bayesian Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers). Edward Cripps collaborates with scholars based in Australia, United Kingdom and United States. Edward Cripps's co-authors include Melinda Hodkiewicz, Michelle J. Jonker, Alistair J. Cheal, M. Aaron MacNeil, Hugh Sweatman, Michael J. Emslie, Britta Schaffelke, John W. Lau, Michael Pecht and Jeffrey S. Phillips and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Power Sources.

In The Last Decade

Edward Cripps

44 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward Cripps Australia 12 252 210 143 62 53 50 604
Jarno Vanhatalo Finland 21 265 1.1× 271 1.3× 125 0.9× 92 1.5× 29 0.5× 70 1.2k
Demetris Stathakis Greece 17 144 0.6× 396 1.9× 65 0.5× 31 0.5× 59 1.1× 44 1.1k
Chao‐Hung Lin Taiwan 22 224 0.9× 105 0.5× 48 0.3× 65 1.0× 61 1.2× 73 1.4k
K. Venkatesh Prasad India 17 75 0.3× 325 1.5× 481 3.4× 79 1.3× 42 0.8× 65 923
Jianwen Ma China 15 167 0.7× 192 0.9× 55 0.4× 20 0.3× 69 1.3× 77 856
Ali Ben Abbes Tunisia 15 246 1.0× 286 1.4× 21 0.1× 64 1.0× 87 1.6× 47 983
Baptiste Gregorutti France 3 124 0.5× 121 0.6× 14 0.1× 23 0.4× 35 0.7× 4 767
Wei Tian China 16 49 0.2× 249 1.2× 99 0.7× 14 0.2× 76 1.4× 99 1.1k
Manel Rhif Tunisia 11 109 0.4× 123 0.6× 19 0.1× 61 1.0× 71 1.3× 18 553
Marko Perkovič Slovenia 17 95 0.4× 175 0.8× 137 1.0× 12 0.2× 23 0.4× 57 670

Countries citing papers authored by Edward Cripps

Since Specialization
Citations

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

Fields of papers citing papers by Edward Cripps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Cripps

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Cripps. A scholar is included among the top collaborators of Edward Cripps 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 Edward Cripps. Edward Cripps 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.
Pirot, Guillaume, et al.. (2025). Feature fusion-enhanced t-SNE image atlas for geophysical features discovery. Scientific Reports. 15(1). 17152–17152.
2.
Cripps, Edward, et al.. (2024). Interpreting Deepkriging for spatial interpolation in geostatistics. Computers & Geosciences. 196. 105833–105833. 2 indexed citations
3.
Sykulski, Adam M., et al.. (2024). Debiasing Welch’s method for spectral density estimation. Biometrika. 111(4). 1313–1329. 5 indexed citations
4.
Cripps, Edward, et al.. (2023). Evaluating probabilistic forecasts for maritime engineering operations. SHILAP Revista de lepidopterología. 4.
5.
Jessell, Mark, Jiateng Guo, Yunqiang Li, et al.. (2022). Into the Noddyverse: a massive data store of 3D geological models for machine learning and inversion applications. Earth system science data. 14(1). 381–392. 24 indexed citations
6.
Cripps, Edward, et al.. (2022). Low-rank statistical finite elements for scalable model-data synthesis. Journal of Computational Physics. 463. 111261–111261. 6 indexed citations
7.
Scalzo, R., Mark Lindsay, Mark Jessell, et al.. (2022). Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models. Geoscientific model development. 15(9). 3641–3662. 6 indexed citations
8.
Hodkiewicz, Melinda, et al.. (2022). Probabilistic Assessment of the Effect of Bolt Pre-Load Loss Over Time in Offshore Wind Turbine Bolted Ring-Flanges Using a Gaussian Process Surrogate Model. UWA Profiles and Research Repository (University of Western Australia). 1 indexed citations
9.
Jessell, Mark, Jiateng Guo, Yunqiang Li, et al.. (2021). Into the Noddyverse: A massive data store of 3D geological models for Machine Learning & inversion applications. 1 indexed citations
10.
Hodkiewicz, Melinda, et al.. (2021). Predicting Bolt Stress Under Uncertainty in Offshore Wind Turbine Structural Connections Using a Gaussian Process Surrogate Model. UWA Profiles and Research Repository (UWA). 477–484. 1 indexed citations
11.
12.
Cripps, Edward, et al.. (2020). Statistical finite elements for misspecified models. Proceedings of the National Academy of Sciences. 118(2). 14 indexed citations
13.
Heyward, Andrew, Jamie Colquhoun, Edward Cripps, et al.. (2018). No evidence of damage to the soft tissue or skeletal integrity of mesophotic corals exposed to a 3D marine seismic survey. Marine Pollution Bulletin. 129(1). 8–13. 6 indexed citations
14.
Cripps, Edward, et al.. (2018). Expert elicitation of directional metocean parameters. Ocean Engineering. 161. 268–276. 14 indexed citations
15.
Cripps, Edward, Robert E. Wood, Nadin Beckmann, et al.. (2016). Bayesian Analysis of Individual Level Personality Dynamics. Frontiers in Psychology. 7. 1065–1065. 4 indexed citations
16.
Pecht, Michael, Tadahiro Shibutani, Myeongsu Kang, Melinda Hodkiewicz, & Edward Cripps. (2016). A fusion prognostics-based qualification test methodology for microelectronic products. Microelectronics Reliability. 63. 320–324. 17 indexed citations
17.
Lau, John W. & Edward Cripps. (2015). Stick-Breaking Representation and Computation for Normalized Generalized Gamma Processes. Sankhya A. 77(2). 300–329. 1 indexed citations
18.
Caley, M. Julian, Edward Cripps, & Edward T. Game. (2013). Phenotypic covariance at species’ borders. BMC Evolutionary Biology. 13(1). 105–105. 4 indexed citations
19.
Miller, Ian & Edward Cripps. (2013). Three dimensional marine seismic survey has no measurable effect on species richness or abundance of a coral reef associated fish community. Marine Pollution Bulletin. 77(1-2). 63–70. 11 indexed citations
20.
Gu, Yuanyuan, Denzil G. Fiebig, Edward Cripps, & Robert Kohn. (2009). Bayesian estimation of a random effects heteroscedastic probit model. Econometrics Journal. 12(2). 324–339. 8 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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