Charles Augustine

2.4k total citations
69 papers, 1.7k citations indexed

About

Charles Augustine is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Charles Augustine has authored 69 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Electrical and Electronic Engineering, 27 papers in Atomic and Molecular Physics, and Optics and 9 papers in Computer Networks and Communications. Recurrent topics in Charles Augustine's work include Advanced Memory and Neural Computing (27 papers), Magnetic properties of thin films (23 papers) and Semiconductor materials and devices (21 papers). Charles Augustine is often cited by papers focused on Advanced Memory and Neural Computing (27 papers), Magnetic properties of thin films (23 papers) and Semiconductor materials and devices (21 papers). Charles Augustine collaborates with scholars based in United States, United Kingdom and Netherlands. Charles Augustine's co-authors include Kaushik Roy, Georgios Panagopoulos, Somnath Paul, Emre Neftci, Georgios Detorakis, Xuanyao Fong, Mrigank Sharad, Vivek De, James Tschanz and Sri Harsha Choday and has published in prestigious journals such as Journal of Applied Physics, IEEE Journal of Solid-State Circuits and IEEE Transactions on Electron Devices.

In The Last Decade

Charles Augustine

68 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Augustine United States 23 1.5k 597 254 236 202 69 1.7k
Xuanyao Fong Singapore 27 2.0k 1.3× 914 1.5× 268 1.1× 200 0.8× 36 0.2× 101 2.3k
Aida Todri‐Sanial France 18 824 0.5× 170 0.3× 304 1.2× 135 0.6× 126 0.6× 130 1.2k
Abhronil Sengupta United States 27 1.8k 1.2× 339 0.6× 739 2.9× 99 0.4× 362 1.8× 79 2.2k
Kerem Y. Çamsarı United States 19 1.6k 1.1× 912 1.5× 1.1k 4.4× 264 1.1× 121 0.6× 70 2.5k
Lan Wei Canada 24 1.7k 1.1× 146 0.2× 158 0.6× 344 1.5× 71 0.4× 95 2.1k
P. Olivo Italy 29 3.2k 2.1× 290 0.5× 216 0.9× 677 2.9× 64 0.3× 194 3.7k
Farooq Ahmad Khanday India 20 1.5k 1.0× 181 0.3× 205 0.8× 106 0.4× 77 0.4× 123 1.9k
Shinobu Fujita Japan 26 1.8k 1.2× 688 1.2× 150 0.6× 367 1.6× 18 0.1× 121 2.3k
Yu-Der Chih Taiwan 31 2.2k 1.4× 217 0.4× 304 1.2× 196 0.8× 32 0.2× 80 2.4k
Akhilesh Jaiswal United States 17 2.1k 1.4× 187 0.3× 660 2.6× 94 0.4× 503 2.5× 60 2.4k

Countries citing papers authored by Charles Augustine

Since Specialization
Citations

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

Fields of papers citing papers by Charles Augustine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Augustine

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Augustine. A scholar is included among the top collaborators of Charles Augustine 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 Charles Augustine. Charles Augustine 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.
Corradi, Federico, et al.. (2024). NEXUS: A 28nm 3.3pJ/SOP 16-Core Spiking Neural Network With a Diamond Topology for Real-Time Data Processing. IEEE Transactions on Biomedical Circuits and Systems. 19(3). 523–535.
2.
Krishnamurthy, Harish K., Charles Augustine, Xiaosen Liu, et al.. (2020). A Variation-Adaptive Integrated Computational Digital LDO in 22-nm CMOS With Fast Transient Response. IEEE Journal of Solid-State Circuits. 55(4). 977–987. 28 indexed citations
3.
Pedroni, Bruno U., Siddharth Joshi, Stephen Deiss, et al.. (2019). Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity. Frontiers in Neuroscience. 13. 357–357. 14 indexed citations
4.
Wang, Xiaowei, Jiecao Yu, Charles Augustine, Ravi Iyer, & Reetuparna Das. (2019). Bit Prudent In-Cache Acceleration of Deep Convolutional Neural Networks. 81–93. 34 indexed citations
5.
Detorakis, Georgios, Sadique Sheik, Charles Augustine, et al.. (2018). Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning. Frontiers in Neuroscience. 12. 583–583. 22 indexed citations
6.
Neftci, Emre, Charles Augustine, Somnath Paul, & Georgios Detorakis. (2017). Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines. Frontiers in Neuroscience. 11. 324–324. 164 indexed citations
7.
Cho, Minki, Stephen T. Kim, Carlos Tokunaga, et al.. (2016). Postsilicon Voltage Guard-Band Reduction in a 22 nm Graphics Execution Core Using Adaptive Voltage Scaling and Dynamic Power Gating. IEEE Journal of Solid-State Circuits. 52(1). 50–63. 35 indexed citations
8.
Cho, Minki, Stephen Kim, Carlos Tokunaga, et al.. (2016). 8.4 Post-silicon voltage-guard-band reduction in a 22nm graphics execution core using adaptive voltage scaling and dynamic power gating. 152–153. 18 indexed citations
9.
Sharma, Abhishek A., Max M. Shulaker, C. Kuo, et al.. (2016). Low-power, high-performance S-NDR oscillators for stereo (3D) vision using directly-coupled oscillator networks. 6. 1–2. 9 indexed citations
11.
Chen, Chia‐Hsiang, Keith Bowman, Charles Augustine, Zhengya Zhang, & Jim Tschanz. (2013). Minimum supply voltage for sequential logic circuits in a 22nm technology. 181–186. 5 indexed citations
12.
Sharad, Mrigank, Charles Augustine, Georgios Panagopoulos, & Kaushik Roy. (2012). Spin-Based Neuron Model With Domain-Wall Magnets as Synapse. IEEE Transactions on Nanotechnology. 11(4). 843–853. 141 indexed citations
13.
Panagopoulos, Georgios, Charles Augustine, & Kaushik Roy. (2012). A framework for simulating hybrid MTJ/CMOS circuits: atoms to system approach. Design, Automation, and Test in Europe. 1443–1446. 16 indexed citations
14.
Sharad, Mrigank, Georgios Panagopoulos, Charles Augustine, & Kaushik Roy. (2012). NLSTT-MRAM: Robust spin transfer torque MRAM using non-local spin injection for write. 2. 97–98. 5 indexed citations
15.
Sharad, Mrigank, Charles Augustine, Georgios Panagopoulos, & Kaushik Roy. (2012). Spin based neuron-synapse module for ultra low power programmable computational networks. Zenodo (CERN European Organization for Nuclear Research). 309. 1–7. 10 indexed citations
16.
Venkatesan, Rangharajan, Vivek Kozhikkottu, Charles Augustine, et al.. (2012). TapeCache. 185–190. 118 indexed citations
17.
Augustine, Charles, et al.. (2012). STT-MRAMs for future universal memories: Perspective and prospective. National University of Singapore. 16 indexed citations
18.
Augustine, Charles, Behtash Behin‐Aein, & Kaushik Roy. (2009). Nano-magnet based ultra-low power logic design using non-majority gates. 870–873. 3 indexed citations
19.
Augustine, Charles, Behtash Behin‐Aein, Xuanyao Fong, & Kaushik Roy. (2009). A design methodology and device/circuit/architecture compatible simulation framework for low-power Magnetic Quantum Cellular Automata systems. Purdue e-Pubs (Purdue University System). 287. 847–852. 17 indexed citations
20.
Li, Jing, Charles Augustine, Sayeef Salahuddin, & Kaushik Roy. (2008). Modeling of failure probability and statistical design of spin-torque transfer magnetic random access memory (STT MRAM) array for yield enhancement. 278–283. 79 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026