Samuel D. Keyes

1.0k total citations
18 papers, 752 citations indexed

About

Samuel D. Keyes is a scholar working on Plant Science, Civil and Structural Engineering and Environmental Engineering. According to data from OpenAlex, Samuel D. Keyes has authored 18 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 7 papers in Civil and Structural Engineering and 5 papers in Environmental Engineering. Recurrent topics in Samuel D. Keyes's work include Plant nutrient uptake and metabolism (11 papers), Soil and Unsaturated Flow (7 papers) and Rice Cultivation and Yield Improvement (5 papers). Samuel D. Keyes is often cited by papers focused on Plant nutrient uptake and metabolism (11 papers), Soil and Unsaturated Flow (7 papers) and Rice Cultivation and Yield Improvement (5 papers). Samuel D. Keyes collaborates with scholars based in United Kingdom, Germany and Switzerland. Samuel D. Keyes's co-authors include Tiina Roose, K. R. Daly, Ian Sinclair, Matthias Wissuwa, Josefine Nestler, Laura Cooper, Mark Mavrogordato, Nicolai Koebernick, Davey L. Jones and Timothy George and has published in prestigious journals such as PLoS ONE, New Phytologist and Journal of Experimental Botany.

In The Last Decade

Samuel D. Keyes

18 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel D. Keyes United Kingdom 14 435 181 152 95 59 18 752
Laura Cooper United Kingdom 11 282 0.6× 176 1.0× 108 0.7× 52 0.5× 62 1.1× 25 576
Liesbeth Bouckaert Belgium 5 102 0.2× 341 1.9× 182 1.2× 84 0.9× 46 0.8× 6 590
Katsutoshi Seki Japan 13 92 0.2× 112 0.6× 172 1.1× 198 2.1× 39 0.7× 34 695
Xianwen Li China 15 156 0.4× 215 1.2× 137 0.9× 254 2.7× 30 0.5× 49 807
V. Clausnitzer United States 13 334 0.8× 235 1.3× 381 2.5× 352 3.7× 69 1.2× 16 918
Jianmin China 12 179 0.4× 84 0.5× 57 0.4× 17 0.2× 49 0.8× 131 682
Zhihui China 12 123 0.3× 86 0.5× 29 0.2× 30 0.3× 54 0.9× 91 674
Andrei Rodionov Germany 12 66 0.2× 291 1.6× 68 0.4× 188 2.0× 31 0.5× 26 583
Lianyu Yu China 16 113 0.3× 108 0.6× 118 0.8× 105 1.1× 9 0.2× 40 722
Lifang Luo United States 9 90 0.2× 185 1.0× 449 3.0× 250 2.6× 27 0.5× 19 680

Countries citing papers authored by Samuel D. Keyes

Since Specialization
Citations

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

Fields of papers citing papers by Samuel D. Keyes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel D. Keyes. 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 Samuel D. Keyes. The network helps show where Samuel D. Keyes may publish in the future.

Co-authorship network of co-authors of Samuel D. Keyes

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

All Works

18 of 18 papers shown
1.
Kirk, G. J. D., et al.. (2019). Soil carbon dioxide venting through rice roots. Plant Cell & Environment. 42(12). 3197–3207. 19 indexed citations
2.
Duncan, Simon J., Siul Ruiz, Samuel D. Keyes, et al.. (2019). Stabilizing gold nanoparticles for use in X-ray computed tomography imaging of soil systems. Royal Society Open Science. 6(10). 190769–190769. 9 indexed citations
3.
Fletcher, Daniel McKay, Samuel D. Keyes, K. R. Daly, Arjen van Veelen, & Tiina Roose. (2019). A multi image-based approach for modelling plant-fertiliser interaction. Rhizosphere. 10. 100152–100152. 5 indexed citations
4.
Daly, K. R., Samuel D. Keyes, & Tiina Roose. (2018). Determination of macro-scale soil properties from pore scale structures: image-based modelling of poroelastic structures. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 474(2215). 20170745–20170745. 6 indexed citations
5.
Koebernick, Nicolai, K. R. Daly, Samuel D. Keyes, et al.. (2018). Imaging microstructure of the barley rhizosphere: particle packing and root hair influences. New Phytologist. 221(4). 1878–1889. 54 indexed citations
6.
Koebernick, Nicolai, K. R. Daly, Samuel D. Keyes, et al.. (2017). High‐resolution synchrotron imaging shows that root hairs influence rhizosphere soil structure formation. New Phytologist. 216(1). 124–135. 128 indexed citations
7.
Keyes, Samuel D., Konstantinos C. Zygalakis, & Tiina Roose. (2017). An Explicit Structural Model of Root Hair and Soil Interactions Parameterised by Synchrotron X-ray Computed Tomography. Bulletin of Mathematical Biology. 79(12). 2785–2813. 14 indexed citations
8.
Keyes, Samuel D., et al.. (2017). The Application of Contrast Media for In Vivo Feature Enhancement in X-Ray Computed Tomography of Soil-Grown Plant Roots. Microscopy and Microanalysis. 23(3). 538–552. 14 indexed citations
9.
Keyes, Samuel D., Laura Cooper, Simon J. Duncan, et al.. (2017). Measurement of micro-scale soil deformation around roots using four-dimensional synchrotron tomography and image correlation. Journal of The Royal Society Interface. 14(136). 20170560–20170560. 25 indexed citations
10.
Daly, K. R., Laura Cooper, Nicolai Koebernick, et al.. (2017). Modelling water dynamics in the rhizosphere. Rhizosphere. 4. 139–151. 14 indexed citations
11.
Daly, K. R., Samuel D. Keyes, Shakil Masum, & Tiina Roose. (2016). Image-based modelling of nutrient movement in and around the rhizosphere. Journal of Experimental Botany. 67(4). 1059–1070. 43 indexed citations
12.
Keyes, Samuel D., et al.. (2016). Mapping soil deformation around plant roots using in vivo 4D X-ray Computed Tomography and Digital Volume Correlation. Journal of Biomechanics. 49(9). 1802–1811. 39 indexed citations
13.
Nestler, Josefine, Samuel D. Keyes, & Matthias Wissuwa. (2016). Root hair formation in rice (Oryza sativaL.) differs between root types and is altered in artificial growth conditions. Journal of Experimental Botany. 67(12). 3699–3708. 92 indexed citations
14.
Roose, Tiina, Samuel D. Keyes, K. R. Daly, et al.. (2016). Challenges in imaging and predictive modeling of rhizosphere processes. Plant and Soil. 407(1-2). 9–38. 68 indexed citations
15.
Scott, A.E., Dragoş M. Vasilescu, Samuel D. Keyes, et al.. (2015). Three Dimensional Imaging of Paraffin Embedded Human Lung Tissue Samples by Micro-Computed Tomography. PLoS ONE. 10(6). e0126230–e0126230. 58 indexed citations
16.
Ahmed, Sharif, Samuel D. Keyes, Davey L. Jones, et al.. (2015). Imaging the interaction of roots and phosphate fertiliser granules using 4D X-ray tomography. Plant and Soil. 401(1-2). 125–134. 65 indexed citations
17.
Keyes, Samuel D., Richard Boardman, Alan Marchant, Tiina Roose, & Ian Sinclair. (2013). A robust approach for determination of the macro‐porous volume fraction of soils with X‐ray computed tomography and an image processing protocol. European Journal of Soil Science. 64(3). 298–307. 6 indexed citations
18.
Keyes, Samuel D., K. R. Daly, Neil J. Gostling, et al.. (2013). High resolution synchrotron imaging of wheat root hairs growing in soil and image based modelling of phosphate uptake. New Phytologist. 198(4). 1023–1029. 93 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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