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Ananthram Swami

1983–2026 年に発表

482
論文数
27,141
被引用数
63
h 指数
232
i10 指数

被引用数

Ananthram Swami の年別被引用数1986 年: 被引用 2 件1988 年: 被引用 8 件1989 年: 被引用 14 件1990 年: 被引用 38 件1991 年: 被引用 36 件1992 年: 被引用 40 件1993 年: 被引用 38 件1994 年: 被引用 79 件1995 年: 被引用 42 件1996 年: 被引用 53 件1997 年: 被引用 59 件1998 年: 被引用 42 件1999 年: 被引用 65 件2000 年: 被引用 65 件2001 年: 被引用 62 件2002 年: 被引用 74 件2003 年: 被引用 82 件2004 年: 被引用 92 件2005 年: 被引用 87 件2006 年: 被引用 193 件2007 年: 被引用 245 件2008 年: 被引用 353 件2009 年: 被引用 426 件2010 年: 被引用 490 件2011 年: 被引用 521 件2012 年: 被引用 560 件2013 年: 被引用 612 件2014 年: 被引用 586 件2015 年: 被引用 492 件2016 年: 被引用 556 件2017 年: 被引用 657 件2018 年: 被引用 1,017 件2019 年: 被引用 1,252 件2020 年: 被引用 1,544 件2021 年: 被引用 1,633 件2022 年: 被引用 1,391 件2023 年: 被引用 1,355 件2024 年: 被引用 1,198 件2025 年: 被引用 866 件2026 年: 被引用 235 件2027 年: 被引用 1 件1987 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・地域の世界地図中国: 引用元論文 4,925 件、この内訳の 25.8%アメリカ合衆国: 引用元論文 4,657 件、この内訳の 24.3%イギリス: 引用元論文 869 件、この内訳の 4.5%カナダ: 引用元論文 720 件、この内訳の 3.8%オーストラリア: 引用元論文 587 件、この内訳の 3.1%フランス: 引用元論文 586 件、この内訳の 3.1%インド: 引用元論文 577 件、この内訳の 3%韓国: 引用元論文 506 件、この内訳の 2.6%香港: 引用元論文 456 件、この内訳の 2.4%イタリア: 引用元論文 440 件、この内訳の 2.3%ドイツ: 引用元論文 420 件、この内訳の 2.2%シンガポール: 引用元論文 418 件、この内訳の 2.2%
0%25.8%その他 20.7%

機関

分野

  • Computer Science74.7%
  • Engineering14.6%
  • Physics and Astronomy3.1%
  • Decision Sciences1.7%
  • Social Sciences1.5%
  • Biochemistry, Genetics and Molecular Biology1.2%
  • その他3.2%

トピック

  • Adversarial Robustness in Machine Learning7.1%
  • Advanced Graph Neural Networks4.5%
  • Cognitive Radio Networks and Spectrum Sensing4.3%
  • Advanced MIMO Systems Optimization4.1%
  • Anomaly Detection Techniques and Applications3.5%
  • Advanced Malware Detection Techniques2.8%
  • その他73.7%

共著者

全論文

検索で開く
  1. The Limitations of Deep Learning in Adversarial Settings

    著者: Nicolas Papernot, Patrick D. McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, Ananthram Swami - IEEE European Symposium on Security and Privacy (EuroS&P), EuroS&P 2016 被引用: 3,920

  2. Heterogeneous Graph Neural Network

    著者: Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla - SIGKDD International Conference on Knowledge Discovery & Data Mining 2019 被引用: 1,485

  3. metapath2vec: Scalable Representation Learning for Heterogeneous Networks

    著者: Yuxiao Dong, Nitesh V. Chawla, Ananthram Swami - SIGKDD International Conference on Knowledge Discovery and Data Mining 2017 被引用: 2,248

  4. Towards a theory of semantic communication

    著者: Jie Bao, Prithwish Basu, Mike Dean, Craig Partridge, Ananthram Swami, Will Leland, James Hendler - IEEE Network Science Workshop 2011 被引用: 282

  5. Hierarchical digital modulation classification using cumulants

    著者: Ananthram Swami, Brian M. Sadler - IEEE Transactions on Communications, IEEE Trans. Commun. 2000 被引用: 1,079

  6. Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples

    著者: Nicolas Papernot, Patrick D. McDaniel, Ian J. Goodfellow, Somesh Jha, Z. Berkay Celik, Ananthram Swami - on Asia Conference on Computer and Communications Security, AsiaCCS 2017 被引用: 3,484

  7. Fast Unit-Modulus Least Squares With Applications in Beamforming

    著者: John Tranter, Nicholas D. Sidiropoulos, Xiao Fu, Ananthram Swami - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2017 被引用: 125

  8. A Survey on Modeling and Optimizing Multi-Objective Systems

    著者: Jin-Hee Cho, Yating Wang, Ing-Ray Chen, Kevin S. Chan, Ananthram Swami - IEEE Communications Surveys & Tutorials, IEEE Commun. Surv. Tutorials 2017 被引用: 198

  9. Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks

    著者: Nicolas Papernot, Patrick D. McDaniel, Xi Wu, Somesh Jha, Ananthram Swami - IEEE Symposium on Security and Privacy (SP) 2016 被引用: 304

  10. A Survey on Trust Management for Mobile Ad Hoc Networks

    著者: Jin-Hee Cho, Ananthram Swami, Ing-Ray Chen - IEEE Communications Surveys & Tutorials, IEEE Commun. Surv. Tutorials 2010 被引用: 655

  11. Non-Negative Matrix Factorization Revisited: Uniqueness and Algorithm for Symmetric Decomposition

    著者: Kejun Huang, Nicholas D. Sidiropoulos, Ananthram Swami - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2013 被引用: 269

  12. Negative sampling strategies for contrastive self-supervised learning of graph representations

    著者: Hakim Hafidi, Mounir Ghogho, Philippe Ciblat, Ananthram Swami - Signal Processing, Signal Process. 2021 被引用: 47

  13. Stealthy Adversarial Perturbations Against Real-Time Video Classification Systems

    著者: Shasha Li, Ajaya Neupane, Sujoy Paul, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy Chowdhury, Ananthram Swami - Proceedings 2019 Network and Distributed System Security Symposium 2019 被引用: 73

  14. Consensus, Polarization and Clustering of Opinions in Social Networks

    著者: Lin Li, Anna Scaglione, Ananthram Swami, Qing Zhao - IEEE Journal on Selected Areas in Communications, IEEE J. Sel. Areas Commun. 2013 被引用: 139

  15. Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret

    著者: Animashree Anandkumar, Nithin Michael, Ao Kevin Tang, Ananthram Swami - IEEE Journal on Selected Areas in Communications, IEEE J. Sel. Areas Commun. 2010 被引用: 236

  16. SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks

    著者: Chuxu Zhang, Ananthram Swami, Nitesh V. Chawla - Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019 被引用: 92

  17. Machine learning raw network traffic detection

    著者: Michael De Lucia, Paul Maxwell, Nathaniel D. Bastian, Ananthram Swami, Brian Jalaian, Nandi Leslie - Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III 2021 被引用: 32

  18. Network Tomography

    著者: Ting He, Liang Ma, Ananthram Swami, Don Towsley - Cambridge University Press eBooks 2021 被引用: 30

  19. Laplacian Matrix Sampling for Communication- Efficient Decentralized Learning

    著者: Cho-Chun Chiu, Xusheng Zhang, Ting He, Shiqiang Wang, Ananthram Swami - IEEE Journal on Selected Areas in Communications, IEEE J. Sel. Areas Commun. 2023 被引用: 13

  20. PHY Layer Security Based on Protected Zone and Artificial Noise

    著者: Nabil Romero-Zurita, Desmond C. McLernon, Mounir Ghogho, Ananthram Swami - IEEE Signal Processing Letters, IEEE Signal Process. Lett. 2013 被引用: 71

  21. Toward an Internet of Battlefield Things: A Resilience Perspective

    著者: Tarek F. Abdelzaher, Nora Ayanian, Tamer Basar, Suhas N. Diggavi, Jana Diesner, Deepak Ganesan, Ramesh Govindan, Susmit Jha, Tancrède Lepoint, Benjamin M. Marlin, Klara Nahrstedt, David M. Nicol, Raj Rajkumar, Stephen Russell, Sanjit A. Seshia, Fei Sha, Prashant J. Shenoy, Mani B. Srivastava, Gaurav S. Sukhatme, Ananthram Swami, Paulo Tabuada, Don Towsley, Nitin H. Vaidya, Venugopal V. Veeravalli - Computer 2018 被引用: 48

  22. Delay-Oriented Distributed Scheduling Using Graph Neural Networks

    著者: Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra - ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022 被引用: 16

  23. GraphCL: Contrastive Self-Supervised Learning of Graph Representations

    著者: Hakim Hafidi, Mounir Ghogho, Philippe Ciblat, Ananthram Swami - arXiv (Cornell University), CoRR 2020 被引用: 31

  24. Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework

    著者: Qing Zhao, Lang Tong, Ananthram Swami, Yunxia Chen - IEEE Journal on Selected Areas in Communications, IEEE J. Sel. Areas Commun. 2007 被引用: 1,619