Marco Donato

424 total citations
24 papers, 249 citations indexed

About

Marco Donato is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marco Donato has authored 24 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 8 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marco Donato's work include Low-power high-performance VLSI design (9 papers), Advanced Memory and Neural Computing (8 papers) and Advancements in Semiconductor Devices and Circuit Design (7 papers). Marco Donato is often cited by papers focused on Low-power high-performance VLSI design (9 papers), Advanced Memory and Neural Computing (8 papers) and Advancements in Semiconductor Devices and Circuit Design (7 papers). Marco Donato collaborates with scholars based in United States and Italy. Marco Donato's co-authors include Gu-Yeon Wei, David Brooks, Lillian Pentecost, Paul N. Whatmough, Thierry Tambe, Coleman Hooper, En-Yu Yang, Alexander M. Rush, A. Zaslavsky and R. Iris Bahar and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Electron Devices and IEEE Electron Device Letters.

In The Last Decade

Marco Donato

23 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Donato United States 10 146 80 62 58 32 24 249
Thierry Tambe United States 8 77 0.5× 96 1.2× 77 1.2× 51 0.9× 37 1.2× 16 229
Mohammad Samragh United States 9 116 0.8× 170 2.1× 56 0.9× 49 0.8× 26 0.8× 23 264
Lucian Prodan Romania 10 89 0.6× 111 1.4× 41 0.7× 22 0.4× 17 0.5× 53 229
Coleman Hooper United States 6 92 0.6× 92 1.1× 52 0.8× 46 0.8× 41 1.3× 11 215
Peiyan Dong United States 10 81 0.6× 76 0.9× 69 1.1× 23 0.4× 17 0.5× 25 214
Houxiang Ji United States 7 81 0.6× 91 1.1× 56 0.9× 56 1.0× 60 1.9× 15 181
Chunshu Wu United States 8 111 0.8× 136 1.7× 121 2.0× 66 1.1× 42 1.3× 26 286
Sachin Taneja Singapore 9 199 1.4× 64 0.8× 40 0.6× 211 3.6× 38 1.2× 26 314
Liang Yao China 10 123 0.8× 65 0.8× 143 2.3× 143 2.5× 13 0.4× 39 266
Jaydeb Bhaumik India 10 79 0.5× 39 0.5× 121 2.0× 33 0.6× 21 0.7× 47 222

Countries citing papers authored by Marco Donato

Since Specialization
Citations

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

Fields of papers citing papers by Marco Donato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Donato

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Donato. A scholar is included among the top collaborators of Marco Donato 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 Marco Donato. Marco Donato 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.
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Tambe, Thierry, En-Yu Yang, Coleman Hooper, et al.. (2022). A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs. IEEE Journal of Solid-State Circuits. 58(2). 569–581. 12 indexed citations
3.
Lee, Sae Kyu, et al.. (2021). SMIV: A 16-nm 25-mm² SoC for IoT With Arm Cortex-A53, eFPGA, and Coherent Accelerators. IEEE Journal of Solid-State Circuits. 57(2). 639–650. 13 indexed citations
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Tambe, Thierry, Coleman Hooper, Lillian Pentecost, et al.. (2021). EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference. 830–844. 60 indexed citations
7.
Donato, Marco, et al.. (2020). Fundamental Thermal Limits on Data Retention in Low-Voltage CMOS Latches and SRAM. IEEE Transactions on Device and Materials Reliability. 20(3). 488–497. 15 indexed citations
8.
Donato, Marco, Paul N. Whatmough, Thierry Tambe, et al.. (2020). A Scalable Bayesian Inference Accelerator for Unsupervised Learning. 1–27. 3 indexed citations
9.
Donato, Marco, et al.. (2019). Fully-CMOS Multi-Level Embedded Non-Volatile Memory Devices With Reliable Long-Term Retention for Efficient Storage of Neural Network Weights. IEEE Electron Device Letters. 40(9). 1403–1406. 7 indexed citations
10.
Pentecost, Lillian, Marco Donato, Brandon Reagen, et al.. (2019). MaxNVM. 769–781. 18 indexed citations
11.
Whatmough, Paul N., Gu-Yeon Wei, Sae Kyu Lee, et al.. (2019). A 16nm 25mm2 SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators. C34–C35. 16 indexed citations
12.
Donato, Marco, Lillian Pentecost, David Brooks, & Gu-Yeon Wei. (2019). MEMTI: Optimizing On-Chip Nonvolatile Storage for Visual Multitask Inference at the Edge. IEEE Micro. 39(6). 73–81. 6 indexed citations
13.
Donato, Marco, Brandon Reagen, Lillian Pentecost, et al.. (2018). On-Chip Deep Neural Network Storage with Multi-Level eNVM. 7 indexed citations
14.
Donato, Marco, Brandon Reagen, Lillian Pentecost, et al.. (2018). On-chip deep neural network storage with multi-level eNVM. 1–6. 14 indexed citations
15.
Donato, Marco, R. Iris Bahar, William R. Patterson, & A. Zaslavsky. (2016). A fast simulator for the analysis of sub-threshold thermal noise transients. 1–6. 2 indexed citations
16.
Han, Xijing, Marco Donato, R. Iris Bahar, A. Zaslavsky, & William R. Patterson. (2016). Design of Error-Resilient Logic Gates with Reinforcement Using Implications. 191–196. 4 indexed citations
17.
Donato, Marco, R. Iris Bahar, William R. Patterson, & A. Zaslavsky. (2015). A Simulation Framework for Analyzing Transient Effects Due to Thermal Noise in Sub-Threshold Circuits. 45–50. 3 indexed citations
18.
Le, Son Thanh, Marco Donato, R. Iris Bahar, et al.. (2012). Shot-Noise-Induced Failure in Nanoscale Flip-Flops—Part I: Numerical Framework. IEEE Transactions on Electron Devices. 59(3). 800–806. 4 indexed citations
19.
Donato, Marco, Warren Jin, R. Iris Bahar, et al.. (2012). A noise-immune sub-threshold circuit design based on selective use of Schmitt-trigger logic. 39–44. 11 indexed citations
20.
Le, Son Thanh, Marco Donato, R. Iris Bahar, et al.. (2012). Shot-Noise-Induced Failure in Nanoscale Flip-Flops Part II: Failure Rates in 10-nm Ultimate CMOS. IEEE Transactions on Electron Devices. 59(3). 807–812. 7 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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