S. A. Brown

3.3k total citations
139 papers, 2.6k citations indexed

About

S. A. Brown is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, S. A. Brown has authored 139 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Atomic and Molecular Physics, and Optics, 58 papers in Electrical and Electronic Engineering and 52 papers in Materials Chemistry. Recurrent topics in S. A. Brown's work include nanoparticles nucleation surface interactions (31 papers), Advanced Memory and Neural Computing (26 papers) and Surface and Thin Film Phenomena (23 papers). S. A. Brown is often cited by papers focused on nanoparticles nucleation surface interactions (31 papers), Advanced Memory and Neural Computing (26 papers) and Surface and Thin Film Phenomena (23 papers). S. A. Brown collaborates with scholars based in New Zealand, United States and Australia. S. A. Brown's co-authors include Shaun C. Hendy, Joshua B. Mallinson, David N. McCarthy, Paweł J. Kowalczyk, Saurabh K. Bose, Shawn Fostner, J. G. Partridge, A. Lassesson, Milo V. Kral and Ojas Mahapatra and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nature Communications.

In The Last Decade

S. A. Brown

134 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. A. Brown New Zealand 30 1.1k 1.1k 757 419 365 139 2.6k
Christian Wenger Germany 42 4.2k 3.9× 1.5k 1.4× 904 1.2× 206 0.5× 817 2.2× 313 6.0k
H.H. Rotermund Germany 35 594 0.6× 1.5k 1.4× 1.8k 2.3× 648 1.5× 773 2.1× 81 4.4k
J. M. Brader Switzerland 25 285 0.3× 1.8k 1.7× 181 0.2× 754 1.8× 86 0.2× 76 2.6k
Andy Thomas Germany 25 1.2k 1.1× 1.2k 1.1× 1.9k 2.5× 630 1.5× 23 0.1× 111 3.5k
Frank Cichos Germany 33 964 0.9× 1.5k 1.4× 1.3k 1.7× 719 1.7× 66 0.2× 119 4.1k
Hiroshi Inokawa Japan 27 2.1k 1.9× 604 0.6× 1.2k 1.6× 64 0.2× 56 0.2× 184 2.8k
Jörg Ackermann France 30 1.9k 1.8× 875 0.8× 561 0.7× 89 0.2× 404 1.1× 172 3.5k
Nobuhiko P. Kobayashi United States 31 2.8k 2.6× 1.9k 1.8× 2.2k 2.9× 1.2k 2.9× 81 0.2× 194 5.0k
W. Engel Germany 22 491 0.5× 916 0.9× 810 1.1× 384 0.9× 375 1.0× 51 2.6k
Mathew J. Cherukara United States 28 451 0.4× 1.4k 1.4× 336 0.4× 82 0.2× 99 0.3× 88 2.5k

Countries citing papers authored by S. A. Brown

Since Specialization
Citations

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

Fields of papers citing papers by S. A. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. A. Brown. 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 S. A. Brown. The network helps show where S. A. Brown may publish in the future.

Co-authorship network of co-authors of S. A. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of S. A. Brown. A scholar is included among the top collaborators of S. A. Brown 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 S. A. Brown. S. A. Brown 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
1.
Mallinson, Joshua B., Torben Hemke, Daniil Nikitin, et al.. (2025). Silver-Based Self-Organized Resistive Switching Nanoparticle Networks with Neural-Like Spiking Behavior: Implications for Neuromorphic Computing. ACS Applied Nano Materials. 8(34). 16680–16693.
2.
3.
Mallinson, Joshua B., et al.. (2024). From ‘follow the leader’ to autonomous swarming: physical reservoir computing in two dimensions. SHILAP Revista de lepidopterología. 4(3). 34011–34011. 1 indexed citations
4.
Krukowski, Paweł, Maciej Rogala, P. Dąbrowski, et al.. (2024). Evidence of Directional Structural Superlubricity and Lévy Flights in a van der Waals Heterostructure. Small. 21(6). e2408349–e2408349. 1 indexed citations
5.
Vahl, Alexander, Gianluca Milano, Zdenka Kuncic, S. A. Brown, & Paolo Milani. (2024). Brain-inspired computing with self-assembled networks of nano-objects. Journal of Physics D Applied Physics. 57(50). 503001–503001. 12 indexed citations
6.
Brown, S. A., et al.. (2024). Integer Factorization with Stochastic Spiking in Percolating Networks of Nanoparticles. ACS Nano. 18(41). 28060–28069. 2 indexed citations
7.
Mallinson, Joshua B., et al.. (2024). Experimental Demonstration of Reservoir Computing with Self‐Assembled Percolating Networks of Nanoparticles. Advanced Materials. 36(29). e2402319–e2402319. 17 indexed citations
8.
Shaib, Ali, Anton Tadich, Bruce C. C. Cowie, et al.. (2023). Epitaxial growth of gadolinium and samarium thin films and their subsequent facile nitridation at ambient temperatures. Applied Surface Science. 632. 157550–157550. 7 indexed citations
9.
Mallinson, Joshua B., et al.. (2023). Computation via Neuron-like Spiking in Percolating Networks of Nanoparticles. Nano Letters. 23(22). 10594–10599. 9 indexed citations
10.
Kowalczyk, Paweł J., et al.. (2023). Moiré pattern modulated topological phase and in-gap edge modes in α-antimonene. Applied Surface Science. 635. 157674–157674. 1 indexed citations
11.
Mallinson, Joshua B., et al.. (2023). Reservoir computing using networks of memristors: effects of topology and heterogeneity. Nanoscale. 15(22). 9663–9674. 14 indexed citations
12.
Bose, Saurabh K., Joshua B. Mallinson, Susant Kumar Acharya, et al.. (2022). Neuromorphic behaviour in discontinuous metal films. Nanoscale Horizons. 7(4). 437–445. 7 indexed citations
13.
Mallinson, Joshua B., et al.. (2022). Reservoir computing with 3D nanowire networks. Neural Networks. 154. 122–130. 29 indexed citations
14.
Mallinson, Joshua B., Susant Kumar Acharya, Saurabh K. Bose, et al.. (2022). Self-organized nanoscale networks: are neuromorphic properties conserved in realistic device geometries?. Neuromorphic Computing and Engineering. 2(2). 24009–24009. 12 indexed citations
15.
Lu, Qiangsheng, Jacob Cook, P. Venugopal Reddy, et al.. (2022). Realization of unpinned two-dimensional dirac states in antimony atomic layers. Nature Communications. 13(1). 20 indexed citations
16.
17.
Acharya, Susant Kumar, et al.. (2020). Long-range temporal correlations in scale-free neuromorphic networks. Network Neuroscience. 4(2). 432–447. 44 indexed citations
18.
Märkl, Tobias, Paweł J. Kowalczyk, Xiaoxiong Wang, et al.. (2020). Antimony oxide nanostructures in the monolayer limit: self-assembly of van der Waals-bonded molecular building blocks. Nanotechnology. 32(12). 125701–125701. 4 indexed citations
19.
Märkl, Tobias, et al.. (2019). Moiré patterns: a simple analytical model. 2D Materials. 7(1). 11005–11005. 16 indexed citations
20.
Brown, S. A. & David C. Simcock. (2011). Half a century of the chemiosmotic hypothesis and the practice of science. SHILAP Revista de lepidopterología. 2 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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