Jonathan Nuttall

464 total citations
11 papers, 326 citations indexed

About

Jonathan Nuttall is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Environmental Engineering. According to data from OpenAlex, Jonathan Nuttall has authored 11 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Civil and Structural Engineering, 6 papers in Safety, Risk, Reliability and Quality and 5 papers in Environmental Engineering. Recurrent topics in Jonathan Nuttall's work include Geotechnical Engineering and Analysis (6 papers), Hydrological Forecasting Using AI (3 papers) and Hydrology and Watershed Management Studies (3 papers). Jonathan Nuttall is often cited by papers focused on Geotechnical Engineering and Analysis (6 papers), Hydrological Forecasting Using AI (3 papers) and Hydrology and Watershed Management Studies (3 papers). Jonathan Nuttall collaborates with scholars based in Netherlands, United Kingdom and China. Jonathan Nuttall's co-authors include Michael Hicks, Jian Chen, Xiaohui Chen, Yajun Li, Jiang-Wei Zhang, Xiuyu Liang, You‐Kuan Zhang, Xingxing Kuang, Amirul Khan and He Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Hydrology.

In The Last Decade

Jonathan Nuttall

10 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Nuttall Netherlands	7	168	150	133	104	97	11	326
Richard A. Coffman United States	9	143 0.9×	37 0.2×	65 0.5×	110 1.1×	42 0.4×	44	349
Giovanna Capparelli Italy	12	255 1.5×	100 0.7×	57 0.4×	461 4.4×	21 0.2×	29	526
Taorui Zeng China	14	119 0.7×	103 0.7×	45 0.3×	444 4.3×	32 0.3×	36	548
Songlin Li China	10	169 1.0×	77 0.5×	35 0.3×	257 2.5×	14 0.1×	14	364
Arip Syaripudin Nur South Korea	7	27 0.2×	34 0.2×	65 0.5×	156 1.5×	28 0.3×	12	310
Cong Xu China	14	352 2.1×	164 1.1×	24 0.2×	182 1.8×	15 0.2×	19	512
J. Mata Portugal	9	593 3.5×	72 0.5×	69 0.5×	90 0.9×	8 0.1×	15	662
Junghwan Kim South Korea	8	159 0.9×	93 0.6×	16 0.1×	280 2.7×	20 0.2×	14	344
Silvia Simoni Italy	6	126 0.8×	57 0.4×	34 0.3×	237 2.3×	70 0.7×	10	401

Countries citing papers authored by Jonathan Nuttall

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Nuttall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Nuttall

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Wang, He, et al.. (2024). Spatial-temporal graph neural networks for groundwater data. Scientific Reports. 14(1). 24564–24564. 10 indexed citations

Schweckendiek, T., et al.. (2023). Bayesian Analysis of Benchmark Examples for Data-Driven Site Characterization. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 9(2). 3 indexed citations

Taormina, Riccardo, et al.. (2023). Predicting streamflow with LSTM networks using global datasets. Frontiers in Water. 5. 20 indexed citations

Nuttall, Jonathan, et al.. (2023). The impact of soil variability on uncertainty in predictions of induced vibrations. Soil Dynamics and Earthquake Engineering. 169. 107855–107855. 3 indexed citations

Wang, He, Somdatta Goswami, Mario De Florio, et al.. (2023). Developing a cost-effective emulator for groundwater flow modeling using deep neural operators. Journal of Hydrology. 630. 130551–130551. 11 indexed citations

Nuttall, Jonathan, et al.. (2022). Attention U-Net as a surrogate model for groundwater prediction. Advances in Water Resources. 163. 104169–104169. 19 indexed citations

Zhang, Jiang-Wei, Xiaohui Chen, Amirul Khan, et al.. (2021). Daily runoff forecasting by deep recursive neural network. Journal of Hydrology. 596. 126067–126067. 101 indexed citations

Nuttall, Jonathan. (2019). Estimation of Horizontal and Vertical Scales of Fluctuation from CPT Data Using Neural Networks and Random Fields. 352–357. 1 indexed citations

Nuttall, Jonathan, et al.. (2016). Uncertainty assessment of a dike with an anchored sheet pile wall using FEM. SHILAP Revista de lepidopterología. 7. 3020–3020.

10.

Li, Yajun, Michael Hicks, & Jonathan Nuttall. (2015). Comparative analyses of slope reliability in 3D. Engineering Geology. 196. 12–23. 45 indexed citations

11.

Hicks, Michael, Jonathan Nuttall, & Jian Chen. (2014). Influence of heterogeneity on 3D slope reliability and failure consequence. Computers and Geotechnics. 61. 198–208. 113 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.

Explore authors with similar magnitude of impact