Samuel J. Cooper

5.1k total citations · 2 hit papers
57 papers, 3.9k citations indexed

About

Samuel J. Cooper is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Samuel J. Cooper has authored 57 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 17 papers in Materials Chemistry and 14 papers in Automotive Engineering. Recurrent topics in Samuel J. Cooper's work include Advancements in Battery Materials (15 papers), Advanced Battery Technologies Research (14 papers) and Electron and X-Ray Spectroscopy Techniques (11 papers). Samuel J. Cooper is often cited by papers focused on Advancements in Battery Materials (15 papers), Advanced Battery Technologies Research (14 papers) and Electron and X-Ray Spectroscopy Techniques (11 papers). Samuel J. Cooper collaborates with scholars based in United Kingdom, United States and France. Samuel J. Cooper's co-authors include Paul R. Shearing, Nigel P. Brandon, Donal P. Finegan, Steve Kench, Dan J. L. Brett, Antonio Bertei, John A. Kilner, Bernhard Tjaden, Denis Kramer and Chris Bakal and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Samuel J. Cooper

56 papers receiving 3.8k 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.

TauFactor: An open-source application for calculating tortuosity factors from tomographic data

2016 327 citations Samuel J. Cooper, Antonio Bertei et al. profile →
Generating three-dimensional structures from a two-dimensional slice with generative adversarial network-based dimensionality expansion

2021 187 citations Steve Kench, Samuel J. Cooper profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel J. Cooper United Kingdom	31	2.0k	1.4k	852	485	428	57	3.9k
Pan Zeng China	37	2.6k 1.3×	546 0.4×	1.2k 1.4×	539 1.1×	345 0.8×	213	4.6k
Liwei Li China	31	1.7k 0.9×	590 0.4×	569 0.7×	256 0.5×	357 0.8×	175	3.2k
Gong Wang China	31	1.2k 0.6×	681 0.5×	633 0.7×	196 0.4×	928 2.2×	156	3.4k
Sangtae Kim South Korea	39	2.9k 1.4×	424 0.3×	1.6k 1.9×	566 1.2×	1.6k 3.8×	137	6.2k
Jian Liu China	28	1.7k 0.9×	242 0.2×	596 0.7×	372 0.8×	731 1.7×	274	3.5k
Lei Liu China	30	1.8k 0.9×	462 0.3×	602 0.7×	1.2k 2.6×	793 1.9×	262	3.8k
Sai Li China	30	1.2k 0.6×	372 0.3×	566 0.7×	244 0.5×	467 1.1×	138	2.8k
Ka Wai Wong Hong Kong	43	2.5k 1.3×	359 0.3×	2.4k 2.8×	717 1.5×	900 2.1×	162	5.8k
Chen Ling United States	37	3.9k 2.0×	967 0.7×	2.0k 2.4×	826 1.7×	191 0.4×	99	5.4k
Yanfei Zhang China	36	1.5k 0.8×	237 0.2×	2.2k 2.5×	676 1.4×	791 1.8×	179	4.7k

Countries citing papers authored by Samuel J. Cooper

Since Specialization

Citations

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

Fields of papers citing papers by Samuel J. Cooper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel J. Cooper

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel J. Cooper. A scholar is included among the top collaborators of Samuel J. Cooper 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 J. Cooper. Samuel J. Cooper 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

Docherty, R., et al.. (2024). SAMBA: A Trainable Segmentation Web-App with SmartLabelling. The Journal of Open Source Software. 9(98). 6159–6159. 2 indexed citations

Cooper, Samuel J., et al.. (2024). HRTF Upsampling With a Generative Adversarial Network Using a Gnomonic Equiangular Projection. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2085–2099. 15 indexed citations

Foster, Jamie M., et al.. (2024). Investigating the Effect of the Separation of Scales in Reduced Order Battery Modelling: Implications on the Validity of the Newman Model. Journal of The Electrochemical Society. 171(5). 50536–50536. 3 indexed citations

Kench, Steve, et al.. (2024). Li-ion battery design through microstructural optimization using generative AI. Matter. 7(12). 4260–4269. 21 indexed citations

Weber, Moritz L., Dylan Jennings, Sarah Fearn, et al.. (2024). Thermal stability and coalescence dynamics of exsolved metal nanoparticles at charged perovskite surfaces. Nature Communications. 15(1). 9724–9724. 12 indexed citations

Kench, Steve, et al.. (2023). TauFactor 2: A GPU accelerated python tool formicrostructural analysis. The Journal of Open Source Software. 8(88). 5358–5358. 8 indexed citations

Cooper, Samuel J., et al.. (2023). Artefact removal from micrographs with deep learning based inpainting. Digital Discovery. 2(2). 316–326. 3 indexed citations

Cooper, Samuel J., Scott Alan Roberts, Zhao Liu, & B. Winiarski. (2022). Methods—Kintsugi Imaging of Battery Electrodes: Distinguishing Pores from the Carbon Binder Domain using Pt Deposition. Journal of The Electrochemical Society. 169(7). 70512–70512. 7 indexed citations

Finegan, Donal P., et al.. (2022). Machine-Learning-Driven Advanced Characterization of Battery Electrodes. ACS Energy Letters. 7(12). 4368–4378. 44 indexed citations

10.

Planella, Ferran Brosa, Weilong Ai, Adam M. Boyce, et al.. (2022). A continuum of physics-based lithium-ion battery models reviewed. ePrints Soton (University of Southampton). 4(4). 42003–42003. 111 indexed citations

11.

Kench, Steve, et al.. (2022). MicroLib: A library of 3D microstructures generated from 2D micrographs using SliceGAN. Scientific Data. 9(1). 645–645. 26 indexed citations

12.

Wang, Andrew A., Simon E. J. O’Kane, Ferran Brosa Planella, et al.. (2022). Review of parameterisation and a novel database (LiionDB) for continuum Li-ion battery models. University of Birmingham Research Portal (University of Birmingham). 4(3). 32004–32004. 69 indexed citations

13.

Ouyang, Mengzheng, Antonio Bertei, Samuel J. Cooper, et al.. (2020). Model-guided design of a high performance and durability Ni nanofiber/ceria matrix solid oxide fuel cell electrode. Journal of Energy Chemistry. 56. 98–112. 30 indexed citations

14.

Xu, Hongyi, et al.. (2020). Microstructure reconstruction of battery polymer separators by fusing 2D and 3D image data for transport property analysis. Journal of Power Sources. 480. 229101–229101. 39 indexed citations

15.

Mosser, Lukas, et al.. (2020). Stochastic reconstruction of periodic, three-dimensional multi-phase electrode microstructures using generative adversarial networks.. arXiv (Cornell University). 1 indexed citations

16.

Hansel, Catherine S., Spencer W. Crowder, Samuel J. Cooper, et al.. (2019). Nanoneedle-Mediated Stimulation of Cell Mechanotransduction Machinery. ACS Nano. 13(3). 2913–2926. 112 indexed citations

17.

Podor, Renaud, T. Ben Britton, Cheng Li, et al.. (2018). In situ study of strontium segregation in La_0.6Sr_0.4Co_0.2Fe_0.8O_3−δ in ambient atmospheres using high-temperature environmental scanning electron microscopy. Journal of Materials Chemistry A. 6(29). 14120–14135. 79 indexed citations

18.

Usseglio‐Viretta, Francois L. E., Andrew M. Colclasure, Aashutosh Mistry, et al.. (2018). Resolving the Discrepancy in Tortuosity Factor Estimation for Li-Ion Battery Electrodes through Micro-Macro Modeling and Experiment. Journal of The Electrochemical Society. 165(14). A3403–A3426. 170 indexed citations

19.

Cooper, Samuel J., Antonio Bertei, Donal P. Finegan, & Nigel P. Brandon. (2017). Simulated impedance of diffusion in porous media. Electrochimica Acta. 251. 681–689. 146 indexed citations

20.

Barr, Alexis R., Samuel J. Cooper, Frank S. Heldt, et al.. (2017). DNA damage during S-phase mediates the proliferation-quiescence decision in the subsequent G1 via p21 expression. Nature Communications. 8(1). 14728–14728. 276 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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