Anthony J. Kenyon

8.1k total citations · 2 hit papers
137 papers, 5.3k citations indexed

About

Anthony J. Kenyon is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Anthony J. Kenyon has authored 137 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Electrical and Electronic Engineering, 56 papers in Materials Chemistry and 38 papers in Biomedical Engineering. Recurrent topics in Anthony J. Kenyon's work include Silicon Nanostructures and Photoluminescence (48 papers), Advanced Memory and Neural Computing (45 papers) and Semiconductor materials and devices (37 papers). Anthony J. Kenyon is often cited by papers focused on Silicon Nanostructures and Photoluminescence (48 papers), Advanced Memory and Neural Computing (45 papers) and Semiconductor materials and devices (37 papers). Anthony J. Kenyon collaborates with scholars based in United Kingdom, Spain and Singapore. Anthony J. Kenyon's co-authors include Adnan Mehonić, C.W. Pitt, P.F. Trwoga, Stephen Hudziak, Mark Buckwell, R. Rizk, Luca Montesi, Clemens Tummeltshammer, Ioannis Papakonstantinou and C.E. Chryssou and has published in prestigious journals such as Nature, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Anthony J. Kenyon

134 papers receiving 5.2k citations

Hit Papers

Recent developments in rare-earth doped materials for opt... 2002 2026 2010 2018 2002 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony J. Kenyon United Kingdom 36 3.8k 2.7k 1.0k 812 774 137 5.3k
Xiaodong Pi China 42 4.4k 1.2× 3.9k 1.5× 1.9k 1.8× 957 1.2× 855 1.1× 248 6.6k
Xiangshui Miao China 47 6.9k 1.8× 5.3k 2.0× 857 0.8× 1.3k 1.6× 865 1.1× 305 9.0k
Jie Jiang China 50 5.3k 1.4× 2.9k 1.1× 1.2k 1.1× 1.3k 1.5× 2.1k 2.8× 228 7.6k
T. P. Chen Singapore 42 5.6k 1.5× 3.0k 1.1× 1.6k 1.6× 748 0.9× 963 1.2× 343 7.4k
Riccardo Mazzarello Germany 37 3.9k 1.0× 4.5k 1.7× 888 0.9× 134 0.2× 593 0.8× 112 5.3k
G. Bersuker United States 48 8.3k 2.2× 2.3k 0.9× 297 0.3× 555 0.7× 731 0.9× 417 8.8k
Yong Zhao China 39 3.0k 0.8× 2.0k 0.7× 930 0.9× 849 1.0× 405 0.5× 584 6.6k
Yoshio Nishi United States 58 10.1k 2.7× 4.5k 1.7× 1.9k 1.8× 751 0.9× 1.7k 2.3× 344 12.2k
Seungwu Han South Korea 58 7.8k 2.1× 9.2k 3.5× 1.3k 1.3× 868 1.1× 1.3k 1.6× 228 13.9k
Tomonobu Nakayama Japan 36 3.5k 0.9× 2.5k 0.9× 918 0.9× 849 1.0× 1.5k 2.0× 187 6.1k

Countries citing papers authored by Anthony J. Kenyon

Since Specialization
Citations

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

Fields of papers citing papers by Anthony J. Kenyon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony J. Kenyon

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony J. Kenyon. A scholar is included among the top collaborators of Anthony J. Kenyon 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 Anthony J. Kenyon. Anthony J. Kenyon 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
2.
Kenyon, Anthony J., Lipika Deka, & David Elizondo. (2024). Characterising Payload Entropy in Packet Flows—Baseline Entropy Analysis for Network Anomaly Detection. Future Internet. 16(12). 470–470. 1 indexed citations
4.
AlMutairi, AbdulAziz, Oscar Lee, Antonio Lombardo, et al.. (2022). Memristive, Spintronic, and 2D-Materials-Based Devices to Improve and Complement Computing Hardware. arXiv (Cornell University). 33 indexed citations
5.
Mehonić, Adnan & Anthony J. Kenyon. (2022). Brain-inspired computing needs a master plan. Nature. 604(7905). 255–260. 363 indexed citations breakdown →
6.
Mehonić, Adnan, Abu Sebastian, Bipin Rajendran, et al.. (2020). Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio‐Inspired Computing. SHILAP Revista de lepidopterología. 2(11). 220 indexed citations
7.
Peveler, William J., Christopher N. Savory, Dejan-Krešimir Buč̌ar, et al.. (2019). Sensing and Discrimination of Explosives at Variable Concentrations with a Large-Pore MOF as Part of a Luminescent Array. ACS Applied Materials & Interfaces. 11(12). 11618–11626. 66 indexed citations
8.
Mehonić, Adnan, et al.. (2019). Simulation of Inference Accuracy Using Realistic RRAM Devices. Frontiers in Neuroscience. 13. 593–593. 48 indexed citations
9.
Ng, Wing H., Yao Lu, Huiyun Liu, et al.. (2018). Controlling and modelling the wetting properties of III-V semiconductor surfaces using re-entrant nanostructures. Scientific Reports. 8(1). 3544–3544. 6 indexed citations
10.
Sadi, Toufik, Adnan Mehonić, Luca Montesi, et al.. (2018). Investigation of resistance switching in SiOxRRAM cells using a 3D multi-scale kinetic Monte Carlo simulator. Journal of Physics Condensed Matter. 30(8). 84005–84005. 16 indexed citations
11.
Mehonić, Adnan, et al.. (2018). Spike-Timing Dependent Plasticity in Unipolar Silicon Oxide RRAM Devices. Frontiers in Neuroscience. 12. 57–57. 25 indexed citations
12.
Mehonić, Adnan & Anthony J. Kenyon. (2016). Emulating the Electrical Activity of the Neuron Using a Silicon Oxide RRAM Cell. Frontiers in Neuroscience. 10. 57–57. 103 indexed citations
13.
Malik, Salman Akbar, Wing H. Ng, James Bowen, et al.. (2016). Electrospray synthesis and properties of hierarchically structured PLGA TIPS microspheres for use as controlled release technologies. Journal of Colloid and Interface Science. 467. 220–229. 45 indexed citations
14.
Carmalt, Claire J., et al.. (2012). Self‐Assembled Ultra‐High Aspect Ratio Silver Nanochains. Advanced Materials. 24(38). 5227–5235. 15 indexed citations
15.
Hudziak, Stephen, et al.. (2012). Investigation of quartz grain surface textures by atomic force microscopy for forensic analysis. Forensic Science International. 223(1-3). 245–255. 19 indexed citations
16.
Jayatilleka, Hasitha, et al.. (2011). Electrically pumped silicon waveguide light sources. Optics Express. 19(24). 24569–24569. 5 indexed citations
17.
Thomsen, Benn C., Cyril C. Renaud, Seb J. Savory, et al.. (2010). Introducing scenario based learning: Experiences from an undergraduate electronic and electrical engineering course. 953–958. 10 indexed citations
18.
Horák, Péter, W.H. Loh, & Anthony J. Kenyon. (2009). Modification of the Er3+ radiative lifetime from proximity to silicon nanoclusters in silicon-rich silicon oxide. Optics Express. 17(2). 906–906. 11 indexed citations
19.
Jones, B.E. & Anthony J. Kenyon. (2007). Retention of data in heat-damaged SIM cards and potential recovery methods. Forensic Science International. 177(1). 42–46. 3 indexed citations
20.
Kenyon, Anthony J., et al.. (1997). A luminescence study of silicon-rich silica and rare-earth doped silicon-rich silica. UCL Discovery (University College London). 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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