Vijay Narayanan

9.9k citations

232 papers · 6.3k indexed · 1 hit paper · h-index 39

Impact in

Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
Electrical and Electronic Engineering top 0.5%
- Semiconductor materials and devices
- Advancements in Semiconductor Devices and Circuit Design
- Ferroelectric and Negative Capacitance Devices
- Advanced Memory and Neural Computing
- Integrated Circuits and Semiconductor Failure Analysis
- Low-power high-performance VLSI design

Papers in

Electrical and Electronic Engineering 205
- Semiconductor materials and devices 149
- Advancements in Semiconductor Devices and Circuit Design 102
- Ferroelectric and Negative Capacitance Devices 69
- Advanced Memory and Neural Computing 40
- Integrated Circuits and Semiconductor Failure Analysis 36
Hardware and Architecture 13

Co-authors: Supratik Guha Martin M. Frank Suman Datta Edwin C. Kan Guangsheng PeiZhe LiuM.J. Irwin T. Austin
Journals: Applied Physics Letters (18 papers)IEEE Electron Device Letters (10 papers)Journal of Applied Physics (8 papers)Microelectronic Engineering (8 papers)IEEE Transactions on Electron Devices (6 papers)
Partner nations: United States Switzerland Japan

In The Last Decade

Vijay Narayanan

222 papers receiving 6.1k citations

Hit Papers

align trajectories log scale

Leakage current: Moore's law meets static power 2003 · 843 citations

Peers

Countries citing papers authored by Vijay Narayanan

Since Specialization

Citations

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

Fields of papers citing papers by Vijay Narayanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Vijay Narayanan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vijay Narayanan Line = papers co-authored together Vijay Narayanan links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	TID Response of IBM Gate-All-Around Stacked Nanosheet Transistors IEEE Transactions on Nuclear Science ·오민권, Nathaniel A. Dodds, 禎北川, Keshab Sapkota, Ismael Acost, Phil Oldiges, Christopher Nordquist, Derek Bingham, Reza Arghavani, Hugh Barnaby, Miaomiao Wang, Huimei Zhou, Vijay Narayanan	2025	2
2	Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip Nature Communications ·Lynnee Roane, Stefano Ambrogio, Pritish Narayanan, Nogayev Adilbek, Charles Mackin, Andrea Fasoli, Malte J. Rasch, Alexander Friz, Heike E. Weber, Takeo Yasuda, Masatoshi Ishii, David D. McKiernan, Kohji Hosokawa, Ewa Alicja Ogłodek, Seiji Munetoh, Vijay Narayanan, Hsinyu Tsai, Geoffrey W. Burr	2025	1
3	Exploiting the State Dependency of Conductance Variations in Memristive Devices for Accurate In-Memory Computing IEEE Transactions on Electron Devices ·Javier Rubio García-Mina, Julian Büchel, Benedikt Kersting, Corey Lammie, Kevin Brew, S. Choi, Timothy M. Philip, Nicole Saulnier, Vijay Narayanan, Manuel Le Gallo, Abu Sebastian	2023	10
4	Impact of analog memory device failure on in-memory computing inference accuracy SHILAP Revista de lepidopterología ·Ning Li, Hsinyu Tsai, Vijay Narayanan, Malte J. Rasch	2023	3
5	Using the IBM analog in-memory hardware acceleration kit for neural network training and inference SHILAP Revista de lepidopterología ·Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Agon Beka, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch	2023	27
6	ReSta: Recovery of Accuracy During Training of Deep Learning Models in a 14-nm Technology-Based ReRAM Array IEEE Transactions on Electron Devices ·Xiang Huang, Nanbo Gong, R. Muralidhar, P. M. Solomon, Eric M. Vogel, Vijay Narayanan, Takashi Ando	2023	1
7	Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators Nature Communications ·Malte J. Rasch, Charles Mackin, Manuel Le Gallo, Lynnee Roane, Andrea Fasoli, 修山手, Ning Li, S. R. Nandakumar, Pritish Narayanan, Hsinyu Tsai, Geoffrey W. Burr, Abu Sebastian, Vijay Narayanan	2023	77
8	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 ·Julian Büchel, Javier Rubio García-Mina, Benedikt Kersting, Corey Lammie, Kevin Brew, Timothy M. Philip, Nicole Saulnier, Vijay Narayanan, Manuel Le Gallo, Abu Sebastian	2023	7
9	Optimization of Projected Phase Change Memory for Analog In‐Memory Computing Inference Advanced Electronic Materials ·Ning Li, Charles Mackin, An Chen, Kevin Brew, Timothy M. Philip, A. Simon, سامان سجادیان, Jin‐Ping Han, Syed Ghazi Sarwat, Geoffrey W. Burr, Malte J. Rasch, Abu Sebastian, Vijay Narayanan, Nicole Saulnier	2023	5
10	A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Shubham Jain, Hsinyu Tsai, Jivansh Ashpalia, R. Muralidhar, Irem Boybat, Martin M. Frank, Stanisław Woźniak, Miloš Stanisavljević, Praneet Adusumilli, Pritish Narayanan, Kohji Hosokawa, Masatoshi Ishii, Josette André, Vijay Narayanan, Geoffrey W. Burr	2022	28
11	Critical Elements for Next Generation High Performance Computing Nanosheet Technology 2021 IEEE International Electron Devices Meeting (IEDM) ·Rongxuan Bao, Junko Yoshifuji, Woo-Seok Chang, Grigore Vida, Axel Mühlhäuser Göppingen, یسرا حمدى, Vasyl Hutak, Dora Murgu, Tae-nyŏng Yun, Aditya Baisakh, لمیاء توفیق, Matthias Vögeli, Vijay Narayanan, F Yang, Mary Thistlewood	2021	13
12	Process-Induced ReRAM Performance Improvement of Atomic Layer Deposited HfO₂ for Analog In-Memory Computing Applications ECS Transactions ·Steven Consiglio, Hisashi Higuchi, Takashi Ando, P. Jamison, Soon‐Cheon Seo, Dexin Kong, Young‐Seok Kim, Kandabara Tapily, Robert D. Clark, Marinus Hopstaken, E. Cartier, Takaaki Tsunomura, Cory S. Wajda, 赵洁, Vijay Narayanan, Gert J. Leusink	2021	2
13	A maximum extreme-value distribution model for switching conductance of oxide-RRAM in memory applications Applied Physics Letters ·Ernest Y. Wu, Takashi Ando, Young‐Seok Kim, R. Muralidhar, E. Cartier, P. Jamison, Miaomiao Wang, Vijay Narayanan	2020	4
14	Signal and noise extraction from analog memory elements for neuromorphic computing Nature Communications ·Nanbo Gong, Jacob Messakh, Seyoung Kim, Irem Boybat, Abu Sebastian, Vijay Narayanan, Takashi Ando	2018	86
15	High Mobility High-Ge-Content SiGe PMOSFETs Using Al₂O₃/HfO₂ Stacks With <italic>In-Situ</italic> O₃ Treatment IEEE Electron Device Letters ·Takashi Ando, Pouya Hashemi, J. Bruley, John Rozen, Lorena Monsalve G., Siyuranga O. Koswatta, K. Chan, E. Cartier, 重樹乾, Vijay Narayanan	2017	34
16	Electron mobility in thin In0.53Ga0.47As channel. European Solid-State Device Research Conference ·E. Cartier, A. Majumdar, Anuradha Phadtare, Takashi Ando, Martin M. Frank, John Rozen, K.A. Jenkins, A Santi, Chiyu Cheng, J. Bruley, Marinus Hopstaken, Gangaiahgari Mahesh, Jeng-Bang Yau, Song Yan, R. Mo, Chun-Chen Yeh, E. Leobandung, Vijay Narayanan	2017	2
17	High performance PMOS with strained high-Ge-content SiGe fins for advanced logic applications Pouya Hashemi, Takashi Ando, Karthik Balakrishnan, Siyuranga O. Koswatta, Heming Guan, J. A. Ott, K. Chan, J. Bruley, Sebastian Engelmann, Vijay Narayanan, E. Leobandung, 重樹乾	2017	6
18	Oxygen Transport in High-k Metal Gate Stacks and Physical Characterization by SIMS Using Isotopic Labeled Oxygen ECS Transactions ·Marinus Hopstaken, J. Bruley, Dirk Pfeiffer, M. Copel, Martin M. Frank, E. Cartier, Takashi Ando, Vijay Narayanan	2010	6
19	Proceedings of the 18th ACM Great Lakes symposium on VLSI Vijay Narayanan, Zhiyuan Yan, 秀策佐々木, Sanjukta Bhanja	2008	1
20	Reliability-Aware Design for Nanometer-Scale Devices, January 2008 Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·David Atienza, Giovanni De Micheli, Luca Benini, José L. Ayala, Kirk Rankin, 地方債制度研究会, Michael DeBole, Vijay Narayanan	2008	9

About Vijay Narayanan

Vijay Narayanan is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Materials Chemistry, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials, having authored 232 papers that have together received 6.3k indexed citations. Recurring topics across this work include Semiconductor materials and devices (149 papers), Advancements in Semiconductor Devices and Circuit Design (102 papers), Ferroelectric and Negative Capacitance Devices (69 papers), Advanced Memory and Neural Computing (40 papers), Integrated Circuits and Semiconductor Failure Analysis (36 papers), Electronic and Structural Properties of Oxides (25 papers), Semiconductor materials and interfaces (17 papers) and Semiconductor Quantum Structures and Devices (12 papers). The work is most often cited by research in Hardware and Architecture (696 citations), Electrical and Electronic Engineering (5.4k citations), Materials Chemistry (1.6k citations), Atomic and Molecular Physics, and Optics (842 citations) and Condensed Matter Physics (313 citations). Vijay Narayanan has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Supratik Guha, Martin M. Frank, Suman Datta, Edwin C. Kan, Guangsheng Pei, Zhe Liu, M.J. Irwin, T. Austin, S. Mookerjea and E. Cartier. Their work appears in journals such as Applied Physics Letters, IEEE Electron Device Letters, Journal of Applied Physics, Microelectronic Engineering and IEEE Transactions on Electron Devices.

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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