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Kaushik Roy

Active 1988–2026

1,447
Papers
50,266
Citations
108
h-index
779
i10-index

Citations

Citations per year for Kaushik Roy1966: 1 citations1988: 5 citations1989: 3 citations1990: 14 citations1991: 18 citations1992: 30 citations1993: 23 citations1994: 55 citations1995: 62 citations1996: 63 citations1997: 69 citations1998: 103 citations1999: 115 citations2000: 151 citations2001: 188 citations2002: 339 citations2003: 400 citations2004: 477 citations2005: 643 citations2006: 571 citations2007: 714 citations2008: 723 citations2009: 805 citations2010: 822 citations2011: 829 citations2012: 827 citations2013: 825 citations2014: 935 citations2015: 1,094 citations2016: 1,248 citations2017: 1,122 citations2018: 1,508 citations2019: 1,474 citations2020: 1,822 citations2021: 2,070 citations2022: 2,022 citations2023: 2,069 citations2024: 2,137 citations2025: 1,874 citations2026: 514 citations2027: 1 citations1967–1987: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 7,134 citing papers, 29.9% of this breakdownChina: 3,141 citing papers, 13.2% of this breakdownIndia: 1,964 citing papers, 8.2% of this breakdownGermany: 867 citing papers, 3.6% of this breakdownSouth Korea: 803 citing papers, 3.4% of this breakdownUnited Kingdom: 745 citing papers, 3.1% of this breakdownJapan: 674 citing papers, 2.8% of this breakdownItaly: 657 citing papers, 2.8% of this breakdownFrance: 590 citing papers, 2.5% of this breakdownCanada: 565 citing papers, 2.4% of this breakdownTaiwan: 557 citing papers, 2.3% of this breakdownIran: 483 citing papers, 2% of this breakdown
0%29.9%Other 23.8%

Institutions

Fields

  • Engineering53.3%
  • Computer Science38.1%
  • Physics and Astronomy2.2%
  • Medicine1.9%
  • Materials Science1.1%
  • Neuroscience1%
  • Other2.4%

Topics

  • Low-power high-performance VLSI design10.1%
  • Advanced Memory and Neural Computing9.3%
  • Ferroelectric and Negative Capacitance Devices4.9%
  • Advancements in Semiconductor Devices and Circuit Design4.8%
  • Parallel Computing and Optimization Techniques4.5%
  • Semiconductor materials and devices4.3%
  • Other62.1%

Coauthors

All papers

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  1. Towards spike-based machine intelligence with neuromorphic computing

    Authors: Kaushik Roy, Akhilesh Jaiswal, Priyadarshini Panda - Nature 2019 cited by 2,160

  2. DIET-SNN: A Low-Latency Spiking Neural Network With Direct Input Encoding and Leakage and Threshold Optimization

    Authors: Nitin Rathi, Kaushik Roy - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2013 cited by 240

  3. Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures

    Authors: Chankyu Lee, Syed Shakib Sarwar, Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy - Frontiers in Neuroscience 2020 cited by 429

  4. Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware

    Authors: Nitin Rathi, Indranil Chakraborty, Adarsh Kosta, Abhronil Sengupta, Aayush Ankit, Priyadarshini Panda, Kaushik Roy - ACM Computing Surveys, ACM Comput. Surv. 2022 cited by 229

  5. PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference

    Authors: Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-mei W. Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic - Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2019 cited by 403

  6. Gradient Projection Memory for Continual Learning

    Authors: Gobinda Saha, Isha Garg, Kaushik Roy - ICLR 2021 cited by 462

  7. Low-Power Digital Signal Processing Using Approximate Adders

    Authors: Vaibhav Gupta, Debabrata Mohapatra, Anand Raghunathan, Kaushik Roy - IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2012 cited by 826

  8. FL-IDS: Federated Learning-Based Intrusion Detection System Using Edge Devices for Transportation IoT

    Authors: Mansi Bhavsar, Yohannes Belayneh Bekele, Kaushik Roy, John C. Kelly, Daniel B. Limbrick - IEEE Access 2024 cited by 108

  9. X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories

    Authors: Amogh Agrawal, Akhilesh Jaiswal, Chankyu Lee, Kaushik Roy - IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Trans. Circuits Syst. I Regul. Pap. 2018 cited by 308

  10. Neurosymbolic Artificial Intelligence (Why, What, and How)

    Authors: Amit P. Sheth, Kaushik Roy, Manas Gaur - IEEE Intelligent Systems, IEEE Intell. Syst. 2023 cited by 114

  11. DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

    Authors: Nitin Rathi, Kaushik Roy - arXiv (Cornell University), CoRR 2020 cited by 128

  12. Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

    Authors: Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy - ICLR 2020 cited by 356

  13. Toward Scalable, Efficient, and Accurate Deep Spiking Neural Networks With Backward Residual Connections, Stochastic Softmax, and Hybridization

    Authors: Priyadarshini Panda, Sai Aparna Aketi, Kaushik Roy - Frontiers in Neuroscience 2020 cited by 132

  14. IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array

    Authors: Mustafa Fayez Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy - IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Trans. Circuits Syst. I Regul. Pap. 2020 cited by 127

  15. Deep Spiking Neural Network: Energy Efficiency Through Time Based Coding

    Authors: Bing Han, Kaushik Roy - Lecture notes in computer science, ECCV (10) 2020 cited by 131

  16. Eigen Attention: Attention in Low-Rank Space for KV Cache Compression

    Authors: Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy - Findings of the Association for Computational Linguistics: EMNLP 2024, EMNLP (Findings) 2024 cited by 38

  17. Computing in Memory With Spin-Transfer Torque Magnetic RAM

    Authors: Shubham Jain, Ashish Ranjan, Kaushik Roy, Anand Raghunathan - IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Trans. Very Large Scale Integr. Syst. 2017 cited by 341

  18. Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning

    Authors: Chankyu Lee, Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy - Frontiers in Neuroscience 2018 cited by 204

  19. In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview

    Authors: Kaushik Roy, Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Amogh Agrawal - 57th ACM/IEEE Design Automation Conference (DAC) 2020 cited by 76

  20. Compute in‐Memory with Non‐Volatile Elements for Neural Networks: A Review from a Co‐Design Perspective

    Authors: Wilfried Haensch, Anand Raghunathan, Kaushik Roy, Bhaswar Chakrabarti, Charudatta Phatak, Cheng Wang, Supratik Guha - Advanced Materials 2022 cited by 111

  21. Analysis and characterization of inherent application resilience for approximate computing

    Authors: Vinay K. Chippa, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan - Design Automation Conference, DAC 2013 cited by 542

  22. In-Memory Low-Cost Bit-Serial Addition Using Commodity DRAM Technology

    Authors: Mustafa Fayez Ali, Akhilesh Jaiswal, Kaushik Roy - IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Trans. Circuits Syst. I Regul. Pap. 2019 cited by 108

  23. Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks

    Authors: Pramita Sree Muhuri, Prosenjit Chatterjee, Xiaohong Yuan, Kaushik Roy, Albert C. Esterline - Information, Inf. 2020 cited by 136

  24. Comparison of Machine Learning and Deep Learning Models for Network Intrusion Detection Systems

    Authors: Niraj Thapa, Zhipeng Liu, Dukka B. KC, Balakrishna Gokaraju, Kaushik Roy - Future Internet 2020 cited by 101