World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
69
Citations
24513
World Ranking
948
National Ranking
399

Computer Science

D-Index
74
Citations
36524
World Ranking
1451
National Ranking
757

Ananthram Swami publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Ananthram Swami sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 472 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Ananthram Swami D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Ananthram Swami sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 69 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2008 - IEEE Fellow For contributions to statistical signal processing in communication systems and networks

Overview

Ananthram Swami is affiliated with the United States Army Research Laboratory in the United States. Their research spans multiple fields primarily within Computer Science and Engineering, with a focus on subfields such as Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Statistical and Nonlinear Physics, and Information Systems.

The scientist's main research topics include Advanced MIMO Systems Optimization, Cooperative Communication and Network Coding, Privacy-Preserving Technologies in Data, Wireless Networks and Protocols, Energy Harvesting in Wireless Networks, IoT and Edge/Fog Computing, and Blockchain Technology Applications and Security.

Ananthram Swami has published extensively, with the majority of their work appearing in venues such as arXiv (Cornell University) with 14 publications, IEEE Transactions on Wireless Communications (4 publications), IEEE Transactions on Network and Service Management (2 publications), Signal Processing, and Information Sciences. Their recent papers include:

  • Negative sampling strategies for contrastive self-supervised learning of graph representations, 2021, Signal Processing
  • Link Scheduling Using Graph Neural Networks, 2022, IEEE Transactions on Wireless Communications
  • A multifactorial optimization paradigm for linkage tree genetic algorithm, 2020, Information Sciences
  • Let's Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds, 2020, IEEE Transactions on Network and Service Management
  • Power Allocation for Wireless Federated Learning Using Graph Neural Networks, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The scientist frequently collaborates with several other researchers, including Santiago Segarra, Gunjan Verma, Chirag Rao, Don Towsley, and Boning Li.

In addition to journal and conference papers, Ananthram Swami has contributed to book publications. One notable publication is the book "Network Tomography," published by Cambridge University Press in 2021.

Throughout their career, Ananthram Swami has been recognized with the IEEE Fellow award in 2008, cited for contributions to statistical signal processing in communication systems and networks.

Best Publications

  • The Limitations of Deep Learning in Adversarial Settings

    Nicolas Papernot;Patrick McDaniel;Somesh Jha;Matt Fredrikson

  • Practical Black-Box Attacks against Machine Learning

    Nicolas Papernot;Patrick McDaniel;Ian Goodfellow;Somesh Jha

  • Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks

    Nicolas Papernot;Patrick McDaniel;Xi Wu;Somesh Jha

  • metapath2vec: Scalable Representation Learning for Heterogeneous Networks

    Yuxiao Dong;Nitesh V. Chawla;Ananthram Swami

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

    Qing Zhao;Lang Tong;Ananthram Swami;Yunxia Chen

  • Hierarchical digital modulation classification using cumulants

    A. Swami;B.M. Sadler

  • Heterogeneous Graph Neural Network

    Chuxu Zhang;Dongjin Song;Chao Huang;Ananthram Swami

  • A Survey on Trust Management for Mobile Ad Hoc Networks

    Jin-Hee Cho;A. Swami;Ing-Ray Chen

  • Joint Design and Separation Principle for Opportunistic Spectrum Access in the Presence of Sensing Errors

    Yunxia Chen;Qing Zhao;A. Swami

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

    Nicolas Papernot;Patrick D. McDaniel;Ian J. Goodfellow;Somesh Jha

  • Decentralized cognitive mac for dynamic spectrum access

    Q. Zhao;L. Tong;A. Swami

  • Crafting adversarial input sequences for recurrent neural networks

    Nicolas Papernot;Patrick McDaniel;Ananthram Swami;Richard Harang

  • Cross-layer optimization for energy-efficient wireless communications: a survey

    Guowang Miao;Nageen Himayat;Ye (Geoffrey) Li;Ananthram Swami

  • Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret

    A Anandkumar;N Michael;A K Tang;A Swami

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

    Kejun Huang;Nicholas D. Sidiropoulos;Ananthram Swami

  • Cumulant-based approach to harmonic retrieval and related problems

    A. Swami;J.M. Mendel

  • Analysis of multiscale products for step detection and estimation

    B.M. Sadler;A. Swami

  • A Survey of Dynamic Spectrum Access: Signal Processing and Networking Perspectives

    Qing Zhao;A. Swami

  • Wireless sensor networks : signal processing and communications perspectives

    Ananthram Swami

  • Channel estimation and symbol detection for block transmission using data-dependent superimposed training

    M. Ghogho;D. McLernon;E. Alameda-Hernandez;A. Swami

  • Cross-layer optimization for energy-efficient wireless communications: a survey

    Unknown

  • Distributed Learning in Wireless Sensor Networks

    Ananthram Swami;Qing Zhao;Yao-Win Hong;Lang Tong

Frequent Co-Authors

Qing Zhao
Qing Zhao Cornell University
Mounir Ghogho
Mounir Ghogho Mohammed VI Polytechnic University
Don Towsley
Don Towsley University of Massachusetts Amherst
Kin K. Leung
Kin K. Leung Imperial College London
Lang Tong
Lang Tong Cornell University
Patrick McDaniel
Patrick McDaniel University of Wisconsin–Madison
Nicholas D. Sidiropoulos
Nicholas D. Sidiropoulos University of Virginia
Jin-Hee Cho
Jin-Hee Cho Virginia Tech
Brian M. Sadler
Brian M. Sadler United States Army Research Laboratory
Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota

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Related Online Degrees & Career Pathways

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