G. Venkat

469 total citations
18 papers, 309 citations indexed

About

G. Venkat is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, G. Venkat has authored 18 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 11 papers in Atomic and Molecular Physics, and Optics and 7 papers in Artificial Intelligence. Recurrent topics in G. Venkat's work include Magnetic properties of thin films (11 papers), Neural Networks and Reservoir Computing (7 papers) and Advanced Memory and Neural Computing (7 papers). G. Venkat is often cited by papers focused on Magnetic properties of thin films (11 papers), Neural Networks and Reservoir Computing (7 papers) and Advanced Memory and Neural Computing (7 papers). G. Venkat collaborates with scholars based in United Kingdom, India and Spain. G. Venkat's co-authors include Anil Prabhakar, Hans Fangohr, D. A. Allwood, Thomas J. Hayward, Matteo Franchin, M. Mruczkiewicz, Eleni Vasilaki, Anjan Barman, Maciej Krawczyk and O. Dmytriiev and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

G. Venkat

17 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Venkat United Kingdom 11 195 163 87 87 57 18 309
A. Kurenkov Japan 6 232 1.2× 257 1.6× 78 0.9× 99 1.1× 56 1.0× 12 373
Xiaojie Hao United States 9 333 1.7× 249 1.5× 32 0.4× 68 0.8× 80 1.4× 14 411
Durgesh Kumar Singapore 11 211 1.1× 214 1.3× 33 0.4× 64 0.7× 36 0.6× 29 322
Troy Dion United Kingdom 10 228 1.2× 128 0.8× 73 0.8× 95 1.1× 191 3.4× 12 368
Tiejun Zhou China 12 314 1.6× 229 1.4× 47 0.5× 204 2.3× 89 1.6× 57 510
A. A. Grachev Russia 10 346 1.8× 226 1.4× 23 0.3× 189 2.2× 74 1.3× 25 440
Aisha Aqeel Germany 12 399 2.0× 173 1.1× 45 0.5× 209 2.4× 258 4.5× 21 540
Lisen Huang Singapore 9 214 1.1× 143 0.9× 20 0.2× 161 1.9× 81 1.4× 20 375
Julien Frougier United States 11 146 0.7× 244 1.5× 35 0.4× 21 0.2× 27 0.5× 29 341
Junshuai Chai China 12 63 0.3× 335 2.1× 41 0.5× 37 0.4× 17 0.3× 57 423

Countries citing papers authored by G. Venkat

Since Specialization
Citations

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

Fields of papers citing papers by G. Venkat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Venkat

This figure shows the co-authorship network connecting the top 25 collaborators of G. Venkat. A scholar is included among the top collaborators of G. Venkat 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 G. Venkat. G. Venkat 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.
Stenning, Kilian D., G. Venkat, David Ray Griffin, et al.. (2025). Noise-aware training of neuromorphic dynamic device networks. Nature Communications. 16(1). 9192–9192.
2.
Venkat, G., P. W. Fry, Mark C. Rosamond, et al.. (2024). Exploring physical and digital architectures in magnetic nanoring array reservoir computers. SHILAP Revista de lepidopterología. 4(2). 24018–24018. 2 indexed citations
3.
Morrison, K., Joseph J. Betouras, G. Venkat, et al.. (2024). Emergence of a Hidden Magnetic Phase in LaFe11.8Si1.2 Investigated by Inelastic Neutron Scattering as a Function of Magnetic Field and Temperature. SHILAP Revista de lepidopterología. 3(7). 2 indexed citations
4.
Venkat, G., Zhaoxia Zhou, Naëmi Leo, et al.. (2023). Enhancement of spin Seebeck effect in Fe3O4/Pt thin films with α -Fe nanodroplets. Applied Physics Letters. 123(17). 2 indexed citations
5.
Allwood, D. A., Matthew O. A. Ellis, Thomas J. Hayward, et al.. (2023). A perspective on physical reservoir computing with nanomagnetic devices. Applied Physics Letters. 122(4). 45 indexed citations
6.
Venkat, G., D. A. Allwood, & Thomas J. Hayward. (2023). Magnetic domain walls: types, processes and applications. Journal of Physics D Applied Physics. 57(6). 63001–63001. 12 indexed citations
7.
Venkat, G., P. W. Fry, Richard M. Rowan-Robinson, et al.. (2023). Reconfigurable reservoir computing in a magnetic metamaterial. Communications Physics. 6(1). 27 indexed citations
8.
Ellis, Matthew O. A., G. Venkat, Nina‐Juliane Steinke, et al.. (2022). Quantifying the computational capability of a nanomagnetic reservoir computing platform with emergent magnetisation dynamics. Nanotechnology. 33(48). 485203–485203. 13 indexed citations
9.
Hayward, Thomas J., G. Venkat, P. W. Fry, et al.. (2021). Dynamically Driven Emergence in a Nanomagnetic System. Advanced Functional Materials. 31(15). 37 indexed citations
10.
Siddique, Abu Bakar, K. Morrison, G. Venkat, et al.. (2021). Charge Transport through Functionalized Graphene Quantum Dots Embedded in a Polyaniline Matrix. ACS Applied Electronic Materials. 3(3). 1437–1446. 14 indexed citations
11.
Venkat, G., et al.. (2020). Magnetic and structural properties of CoFeB thin films grown by pulsed laser deposition. Materials Research Express. 7(10). 106406–106406. 10 indexed citations
12.
Venkat, G., et al.. (2020). Magnon diffusion lengths in bulk and thin film Fe3O4 for spin Seebeck applications. Physical Review Materials. 4(7). 13 indexed citations
13.
Venkat, G., et al.. (2019). Spin Seebeck effect in polycrystalline yttrium iron garnet pellets prepared by the solid-state method. Europhysics Letters (EPL). 126(3). 37001–37001. 13 indexed citations
14.
Venkat, G., D. Venkateswarlu, Matteo Franchin, et al.. (2017). Enhanced spin wave propagation in magnonic rings by bias field modulation. AIP Advances. 8(5). 3 indexed citations
15.
Venkat, G., Hans Fangohr, & Anil Prabhakar. (2017). Absorbing boundary layers for spin wave micromagnetics. Journal of Magnetism and Magnetic Materials. 450. 34–39. 38 indexed citations
16.
Venkat, G., et al.. (2014). An Iterative Solution for Spin-Wave Dispersion in a Magnonic Ring. IEEE Transactions on Magnetics. 50(9). 1–6. 3 indexed citations
17.
Venkat, G., et al.. (2014). Micromagnetic and Plane Wave Analysis of an Antidot Magnonic Crystal with a Ring Defect. IEEE Transactions on Magnetics. 50(11). 1–4. 4 indexed citations
18.
Venkat, G., Dushyant Kumar, Matteo Franchin, et al.. (2012). Proposal for a Standard Micromagnetic Problem: Spin Wave Dispersion in a Magnonic Waveguide. IEEE Transactions on Magnetics. 49(1). 524–529. 71 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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