Kevin Brew

1.3k total citations
28 papers, 395 citations indexed

About

Kevin Brew is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Kevin Brew has authored 28 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 21 papers in Materials Chemistry and 4 papers in Artificial Intelligence. Recurrent topics in Kevin Brew's work include Phase-change materials and chalcogenides (15 papers), Advanced Memory and Neural Computing (11 papers) and Chalcogenide Semiconductor Thin Films (9 papers). Kevin Brew is often cited by papers focused on Phase-change materials and chalcogenides (15 papers), Advanced Memory and Neural Computing (11 papers) and Chalcogenide Semiconductor Thin Films (9 papers). Kevin Brew collaborates with scholars based in United States, Switzerland and Germany. Kevin Brew's co-authors include Rakesh Agrawal, Saurabh Singh, Richard Haight, Charles J. Hages, Mark J. Koeper, Oki Gunawan, Talia Gershon, Caleb K. Miskin, Yun Seog Lee and Priscilla D. Antunez and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Kevin Brew

26 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Brew United States 10 359 290 52 35 16 28 395
Shuxin Chen China 8 266 0.7× 262 0.9× 69 1.3× 23 0.7× 26 1.6× 19 375
Robert Fonoll‐Rubio Spain 12 372 1.0× 331 1.1× 87 1.7× 10 0.3× 16 1.0× 27 396
Juan Navarro‐Arenas Spain 11 260 0.7× 201 0.7× 64 1.2× 32 0.9× 20 1.3× 26 317
Xingchen He China 9 207 0.6× 118 0.4× 34 0.7× 21 0.6× 13 0.8× 28 270
Rahul Sarkar United States 10 228 0.6× 309 1.1× 34 0.7× 32 0.9× 14 0.9× 24 484
Chen-Feng Hsu Taiwan 8 188 0.5× 181 0.6× 34 0.7× 13 0.4× 16 1.0× 15 262
Ignacio Becerril‐Romero Spain 13 569 1.6× 530 1.8× 131 2.5× 16 0.5× 16 1.0× 32 606
Chengji Jin China 12 516 1.4× 236 0.8× 30 0.6× 18 0.5× 11 0.7× 52 541
Xiangjin Wu United States 8 134 0.4× 127 0.4× 19 0.4× 18 0.5× 28 1.8× 17 195
Obafunso Ajayi United States 6 213 0.6× 303 1.0× 70 1.3× 8 0.2× 8 0.5× 8 340

Countries citing papers authored by Kevin Brew

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Brew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Brew

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Brew. A scholar is included among the top collaborators of Kevin Brew 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 Kevin Brew. Kevin Brew 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.
Büchel, Julian, Benedikt Kersting, Corey Lammie, et al.. (2023). Exploiting the State Dependency of Conductance Variations in Memristive Devices for Accurate In-Memory Computing. IEEE Transactions on Electron Devices. 70(12). 6279–6285. 10 indexed citations
2.
Gong, Haibo, Vadim Tokranov, Kevin Brew, et al.. (2023). Three Programming States in Bilayer Ga–Sb Phase Change Memory With AlO x Diffusion Barrier. IEEE Transactions on Electron Devices. 70(7). 3511–3516. 2 indexed citations
3.
Büchel, Julian, Benedikt Kersting, Corey Lammie, et al.. (2023). Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13(4). 1052–1061. 7 indexed citations
4.
Li, Ning, Charles Mackin, An Chen, et al.. (2023). Optimization of Projected Phase Change Memory for Analog In‐Memory Computing Inference. Advanced Electronic Materials. 9(6). 5 indexed citations
5.
Chan, V., Wei‐Tsu Tseng, Kang Min Ok, et al.. (2023). Yield Methodology and Heater Process Variation in Phase Change Memory (PCM) Technology for Analog Computing. IEEE Transactions on Semiconductor Manufacturing. 36(3). 327–331. 1 indexed citations
6.
Gluschenkov, Oleg, et al.. (2023). Improving FinFET Junctions and Contacts via Laser Annealing. 1–4. 2 indexed citations
7.
Büchel, Julian, Abu Sebastian, Benedikt Kersting, et al.. (2023). Gradient descent-based programming of analog in-memory computing cores. 1 indexed citations
8.
Gong, Haibo, Vadim Tokranov, Michail M. Yakimov, et al.. (2022). Electrical and structural properties of binary Ga–Sb phase change memory alloys. Journal of Applied Physics. 132(3). 3 indexed citations
9.
Philip, Timothy M., Kevin Brew, Ning Li, et al.. (2022). Design of projected phase-change memory mushroom cells for low-resistance drift. MRS Bulletin. 48(3). 228–236. 3 indexed citations
10.
Sarwat, Syed Ghazi, Manuel Le Gallo, Robert L. Bruce, et al.. (2022). Mechanism and Impact of Bipolar Current Voltage Asymmetry in Computational Phase‐Change Memory. Advanced Materials. 35(37). e2201238–e2201238. 12 indexed citations
11.
Gong, Haibo, Vadim Tokranov, Michail M. Yakimov, et al.. (2021). Bilayer Ga-Sb Phase Change Memory with Intermediate Resistance State. 1–2. 2 indexed citations
12.
Gong, Haibo, Vadim Tokranov, Michail M. Yakimov, et al.. (2021). Crystallization Properties of Al-Sb Alloys for Phase Change Memory Applications. ECS Journal of Solid State Science and Technology. 10(7). 75008–75008. 5 indexed citations
13.
Kersting, Benedikt, Syed Ghazi Sarwat, Manuel Le Gallo, et al.. (2021). Measurement of Onset of Structural Relaxation in Melt‐Quenched Phase Change Materials. Advanced Functional Materials. 31(37). 13 indexed citations
14.
Han, Jin‐Ping, Malte J. Rasch, P. M. Solomon, et al.. (2020). Impact of PCM Flicker Noise and Weight Drift on Analog Hardware Inference for state-of-the-art Deep Learning Networks. 1 indexed citations
15.
Brew, Kevin, Rena M. Conti, Cheng‐Wei Cheng, et al.. (2020). Effect of In-situ Capping on Phase Change Memory Device Performance : AEPM: Advance Equipment Processes and Materials. 33. 1–5. 1 indexed citations
16.
Gluschenkov, Oleg, Heng Wu, Kevin Brew, et al.. (2018). External Resistance Reduction by Nanosecond Laser Anneal in Si/SiGe CMOS Technology. 35.3.1–35.3.4. 8 indexed citations
17.
Todorov, Teodor K., Saurabh Singh, Douglas M. Bishop, et al.. (2017). Ultrathin high band gap solar cells with improved efficiencies from the world’s oldest photovoltaic material. Nature Communications. 8(1). 682–682. 127 indexed citations
18.
Gershon, Talia, Oki Gunawan, Tayfun Gokmen, et al.. (2017). Analysis of loss mechanisms in Ag2ZnSnSe4 Schottky barrier photovoltaics. Journal of Applied Physics. 121(17). 12 indexed citations
19.
Hages, Charles J., Mark J. Koeper, Caleb K. Miskin, Kevin Brew, & Rakesh Agrawal. (2016). Controlled Grain Growth for High Performance Nanoparticle-Based Kesterite Solar Cells. Chemistry of Materials. 28(21). 7703–7714. 92 indexed citations
20.
Walker, Bryce C., et al.. (2013). CZTSe devices fabricated from CZTSSe nanoparticles. 2548–2551. 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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