World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
7413
World Ranking
7263
National Ranking
3168

Vaneet Aggarwal publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Vaneet Aggarwal sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 312 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Vaneet Aggarwal D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Vaneet Aggarwal sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Vaneet Aggarwal is affiliated with Purdue University West Lafayette in the United States. Their research spans multiple domains within computer science and engineering, marked by extensive scholarly contributions focused on various advanced technological areas.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these fields, Aggarwal's work delves into specialized subfields such as:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Management Science and Operations Research
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition

The primary topics addressed in their research output encompass:

  • Reinforcement Learning in Robotics
  • Advanced Bandit Algorithms Research
  • Caching and Content Delivery
  • Privacy-Preserving Technologies in Data
  • Transportation and Mobility Innovations
  • Optimization and Search Problems
  • Quantum Computing Algorithms and Architecture

Aggarwal has published extensively across notable venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Networking
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Artificial Intelligence

Recent papers authored or co-authored by Aggarwal illustrate a diverse research portfolio with publication years and venues as follows:

  • "Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks," 2022, IEEE/ACM Transactions on Networking
  • "Heat-assisted detection and ranging," 2023, Nature
  • "FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers and Goods Transportation," 2021, IEEE Transactions on Intelligent Transportation Systems
  • "Fault-Resilience for Bandwidth Management in Industrial Software-Defined Networks," 2021, IEEE Transactions on Network Science and Engineering
  • "A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification," 2023, Applied Soft Computing

Frequent collaborators in Aggarwal's work include:

  • Washim Uddin Mondal
  • Amrit Singh Bedi
  • Mridul Agarwal
  • Tian Lan
  • Qinbo Bai

Best Publications

  • Design and Characterization of a Full-Duplex Multiantenna System for WiFi Networks

    Melissa Duarte;Ashutosh Sabharwal;Vaneet Aggarwal;Rittwik Jana

  • Design and Characterization of a Full-duplex Multi-antenna System for WiFi networks

    Melissa Duarte;Ashutosh Sabharwal;Vaneet Aggarwal;Rittwik Jana

  • Exploiting mobility in proportional fair cellular scheduling: measurements and algorithms

    Robert Margolies;Ashwin Sridharan;Vaneet Aggarwal;Rittwik Jana

  • Efficient Low Rank Tensor Ring Completion

    Wenqi Wang;Vaneet Aggarwal;Shuchin Aeron

  • Prometheus: toward quality-of-experience estimation for mobile apps from passive network measurements

    Vaneet Aggarwal;Emir Halepovic;Jeffrey Pang;Shobha Venkataraman

  • DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning

    Abubakr O. Al-Abbasi;Arnob Ghosh;Vaneet Aggarwal

  • Wide Compression: Tensor Ring Nets

    Vaneet Aggarwal;Wenlin Wang;Brian Eriksson;Yifan Sun

  • Modeling web quality-of-experience on cellular networks

    Athula Balachandran;Vaneet Aggarwal;Emir Halepovic;Jeffrey Pang

  • Iterative Dynamic Water-Filling for Fading Multiple-Access Channels With Energy Harvesting

    Zhe Wang;Vaneet Aggarwal;Xiaodong Wang

  • From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks

    Seyyedali Hosseinalipour;Christopher G. Brinton;Vaneet Aggarwal;Huaiyu Dai

  • Joint Latency and Cost Optimization for Erasure-Coded Data Center Storage

    Yu Xiang;Tian Lan;Vaneet Aggarwal;Yih-Farn R. Chen

  • Low-Tubal-Rank Tensor Completion Using Alternating Minimization

    Xiao-Yang Liu;Shuchin Aeron;Vaneet Aggarwal;Xiaodong Wang

  • Control of Charging of Electric Vehicles Through Menu-Based Pricing

    Arnob Ghosh;Vaneet Aggarwal

  • Adaptive Sampling of RF Fingerprints for Fine-Grained Indoor Localization

    Xiao-Yang Liu;Shuchin Aeron;Vaneet Aggarwal;Xiaodong Wang

  • Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks

    Seyyedali Hosseinalipour;Sheikh Shams Azam;Christopher G. Brinton;Nicolo Michelusi

  • Secrecy capacity of a class of orthogonal relay eavesdropper channels

    Vaneet Aggarwal;Lalitha Sankar;A. Robert Calderbank;H. Vincent Poor

  • Layered Exact-Repair Regenerating Codes via Embedded Error Correction and Block Designs

    Chao Tian;Birenjith Sasidharan;Vaneet Aggarwal;Vinay A. Vaishampayan

  • System for consolidating heterogeneous data centers through virtualization of services

    Rittwik Jana;Vaneet Aggarwal;Xu Chen;Vijay Gopalakrishnan

  • FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers and Goods Transportation

    Kaushik Manchella;Abhishek K. Umrawal;Vaneet Aggarwal

  • System and method for full duplex cancellation

    Rittwik Jana;Vaneet Aggarwal;Christopher W. Rice;Nemmara K. Shankaranarayanan

  • Exploiting virtualization for delivering cloud-based IPTV services

    Vaneet Aggarwal;Xu Chen;Vijay Gopalakrishnan;Rittwik Jana

Frequent Co-Authors

Ashutosh Sabharwal
Ashutosh Sabharwal Rice University
Tian Lan
Tian Lan George Washington University
Rittwik Jana
Rittwik Jana Google (United States)
Vinay A. Vaishampayan
Vinay A. Vaishampayan City University of New York
Bharat Bhargava
Bharat Bhargava Purdue University West Lafayette
Mehdi Bennis
Mehdi Bennis University of Oulu
A. Salman Avestimehr
A. Salman Avestimehr University of Southern California
Kadangode K. Ramakrishnan
Kadangode K. Ramakrishnan University of California, Riverside
B. Sundar Rajan
B. Sundar Rajan Indian Institute of Science
H. Vincent Poor
H. Vincent Poor Princeton University

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