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Anand Raghunathan

1994–2026 年に発表

384
論文数
18,061
被引用数
67
h 指数
242
i10 指数

被引用数

Anand Raghunathan の年別被引用数1988 年: 被引用 2 件1994 年: 被引用 2 件1995 年: 被引用 15 件1996 年: 被引用 24 件1997 年: 被引用 41 件1998 年: 被引用 72 件1999 年: 被引用 90 件2000 年: 被引用 127 件2001 年: 被引用 118 件2002 年: 被引用 154 件2003 年: 被引用 232 件2004 年: 被引用 262 件2005 年: 被引用 276 件2006 年: 被引用 285 件2007 年: 被引用 385 件2008 年: 被引用 361 件2009 年: 被引用 304 件2010 年: 被引用 330 件2011 年: 被引用 296 件2012 年: 被引用 398 件2013 年: 被引用 423 件2014 年: 被引用 454 件2015 年: 被引用 638 件2016 年: 被引用 714 件2017 年: 被引用 725 件2018 年: 被引用 998 件2019 年: 被引用 887 件2020 年: 被引用 918 件2021 年: 被引用 788 件2022 年: 被引用 651 件2023 年: 被引用 521 件2024 年: 被引用 452 件2025 年: 被引用 412 件2026 年: 被引用 101 件1989〜1993 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 3,374 件、この内訳の 30%中国: 引用元論文 1,226 件、この内訳の 10.9%インド: 引用元論文 608 件、この内訳の 5.4%ドイツ: 引用元論文 541 件、この内訳の 4.8%イギリス: 引用元論文 421 件、この内訳の 3.7%イタリア: 引用元論文 421 件、この内訳の 3.7%韓国: 引用元論文 362 件、この内訳の 3.2%フランス: 引用元論文 359 件、この内訳の 3.2%カナダ: 引用元論文 353 件、この内訳の 3.1%日本: 引用元論文 296 件、この内訳の 2.6%イラン: 引用元論文 210 件、この内訳の 1.9%スイス: 引用元論文 204 件、この内訳の 1.8%
0%30%その他 25.7%

機関

分野

  • Computer Science60.6%
  • Engineering34.7%
  • Physics and Astronomy1.7%
  • Medicine1%
  • Neuroscience0.4%
  • Biochemistry, Genetics and Molecular Biology0.3%
  • その他1.3%

トピック

  • Parallel Computing and Optimization Techniques8%
  • Low-power high-performance VLSI design6.7%
  • Embedded Systems Design Techniques6.1%
  • Advanced Memory and Neural Computing5.4%
  • Interconnection Networks and Systems3.9%
  • Ferroelectric and Negative Capacitance Devices3.6%
  • その他66.3%

共著者

全論文

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  1. Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare

    著者: Mehran Mozaffari Kermani, Susmita Sur-Kolay, Anand Raghunathan, Niraj K. Jha - IEEE Journal of Biomedical and Health Informatics, IEEE J. Biomed. Health Informatics 2014 被引用: 374

  2. Low-Power Digital Signal Processing Using Approximate Adders

    著者: 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 被引用: 826

  3. Energy-Efficient Long-term Continuous Personal Health Monitoring

    著者: Arsalan Mohsen Nia, Mehran Mozaffari Kermani, Susmita Sur-Kolay, Anand Raghunathan, Niraj K. Jha - IEEE Transactions on Multi-Scale Computing Systems, IEEE Trans. Multi Scale Comput. Syst. 2015 被引用: 180

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

    著者: 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 被引用: 341

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

    著者: Wilfried Haensch, Anand Raghunathan, Kaushik Roy, Bhaswar Chakrabarti, Charudatta Phatak, Cheng Wang, Supratik Guha - Advanced Materials 2022 被引用: 111

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

    著者: Vinay K. Chippa, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan - Design Automation Conference, DAC 2013 被引用: 542

  7. Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges

    著者: Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Sourjya Roy, Shrihari Sridharan, Amogh Agrawal, Anand Raghunathan, Kaushik Roy - IEEE, Proc. IEEE 2020 被引用: 128

  8. PArtNNer: Platform-Agnostic Adaptive Edge-Cloud DNN Partitioning for Minimizing End-to-End Latency

    著者: Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan, Anand Raghunathan - ACM Transactions on Embedded Computing Systems, ACM Trans. Embed. Comput. Syst. 2023 被引用: 28

  9. Compute-in-Memory Technologies and Architectures for Deep Learning Workloads

    著者: Mustafa Fayez Ali, Sourjya Roy, Utkarsh Saxena, Tanvi Sharma, Anand Raghunathan, Kaushik Roy - IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Trans. Very Large Scale Integr. Syst. 2022 被引用: 44

  10. A Study of the Energy Consumption Characteristics of Cryptographic Algorithms and Security Protocols

    著者: Nachiketh R. Potlapally, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha - IEEE Transactions on Mobile Computing, IEEE Trans. Mob. Comput. 2006 被引用: 421

  11. Scalable-effort classifiers for energy-efficient machine learning

    著者: Swagath Venkataramani, Anand Raghunathan, Jie Liu, Mohammed Shoaib - Design Automation Conference, DAC 2015 被引用: 108

  12. AxNN: energy-efficient neuromorphic systems using approximate computing

    著者: Swagath Venkataramani, Ashish Ranjan, Kaushik Roy, Anand Raghunathan - symposium on Low power electronics and design, ISLPED 2014 被引用: 265

  13. ScaleDeep: A Scalable Compute Architecture for Learning and Evaluating Deep Networks

    著者: Swagath Venkataramani, Ashish Ranjan, Subarno Banerjee, Dipankar Das, Sasikanth Avancha, Ashok Jagannathan, Ajaya Durg, Dheemanth Nagaraj, Bharat Kaul, Pradeep Dubey, Anand Raghunathan - ACM SIGARCH Computer Architecture News, ISCA 2017 被引用: 199

  14. Approximate computing for spiking neural networks

    著者: Sanchari Sen, Swagath Venkataramani, Anand Raghunathan - Design, Automation & Test in Europe Conference & Exhibition (DATE) 2017 被引用: 56

  15. Substitute-and-simplify: a unified design paradigm for approximate and quality configurable circuits

    著者: Swagath Venkataramani, Kaushik Roy, Anand Raghunathan - Design, Automation & Test in Europe Conference & Exhibition (DATE) 2013 被引用: 133

  16. SALSA: systematic logic synthesis of approximate circuits

    著者: Swagath Venkataramani, Amit Sabne, Vivek Joy Kozhikkottu, Kaushik Roy, Anand Raghunathan - Design Automation Conference, DAC 2012 被引用: 333

  17. MACACO: Modeling and analysis of circuits for approximate computing

    著者: Rangharajan Venkatesan, Amit Agarwal, Kaushik Roy, Anand Raghunathan - IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2011 被引用: 203

  18. Wearable Medical Sensor-Based System Design: A Survey

    著者: Arsalan Mosenia, Susmita Sur-Kolay, Anand Raghunathan, Niraj K. Jha - IEEE Transactions on Multi-Scale Computing Systems, IEEE Trans. Multi Scale Comput. Syst. 2017 被引用: 144

  19. Trustworthiness of Medical Devices and Body Area Networks

    著者: Meng Zhang, Anand Raghunathan, Niraj K. Jha - IEEE, Proc. IEEE 2014 被引用: 133

  20. Energy-Efficient Neural Computing with Approximate Multipliers

    著者: Syed Shakib Sarwar, Swagath Venkataramani, Aayush Ankit, Anand Raghunathan, Kaushik Roy - ACM Journal on Emerging Technologies in Computing Systems, ACM J. Emerg. Technol. Comput. Syst. 2018 被引用: 72

  21. CxDNN: Hardware-software Compensation Methods for Deep Neural Networks on Resistive Crossbar Systems

    著者: Shubham Jain, Anand Raghunathan - ACM Transactions on Embedded Computing Systems, ACM Trans. Embed. Comput. Syst. 2019 被引用: 57

  22. Security in embedded systems: Design challenges

    著者: Srivaths Ravi, Anand Raghunathan, Paul C. Kocher, Sunil Hattangady - ACM Transactions on Embedded Computing Systems, ACM Trans. Embed. Comput. Syst. 2004 被引用: 461

  23. Tamper Resistance Mechanisms for Secure, Embedded Systems

    著者: Srivaths Ravi, Anand Raghunathan, Srimat T. Chakradhar - International Conference on VLSI Design. Proceedings. 2004 被引用: 218

  24. Hijacking an insulin pump: Security attacks and defenses for a diabetes therapy system

    著者: Chunxiao Li, Anand Raghunathan, Niraj K. Jha - IEEE 13th International Conference on e-Health Networking, IEEE 13th International Conference on e-Health Networking, Applications and Services 2011 被引用: 326