World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
19658
World Ranking
2563
National Ranking
1283

Aditya Akella 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 Aditya Akella 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: 241 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Aditya Akella 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 Aditya Akella 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: 64 D-Index — 82nd percentile

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

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

Overview

Aditya Akella is a researcher affiliated with The University of Texas at Austin in the United States. Their work primarily focuses on the field of Computer Science, with significant contributions spanning 73 publications. Within this domain, Akella's research covers several subfields including Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, and Management Science and Operations Research.

The scientist's main research topics highlight areas such as Cloud Computing and Resource Management, Stochastic Gradient Optimization Techniques, IoT and Edge/Fog Computing, Advanced Neural Network Applications, Software-Defined Networks and 5G, Software System Performance and Reliability, and Advanced Data Storage Technologies.

Akella has published papers in various venues with a concentration in arXiv (Cornell University), which accounts for 30 publications. Other venues include Proceedings of the VLDB Endowment, Proceedings of the ACM on Measurement and Analysis of Computing Systems, Proceedings of the ACM on Management of Data, and Theoretical Computer Science.

Frequent co-authors collaborating with Akella include Shivaram Venkataraman, Divyanshu Saxena, Daehyeok Kim, Yanfang Le, and Rohit Dwivedula, reflecting ongoing collaborations within their research network.

Key recent publications by Aditya Akella include:

  • B link -hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases (2023), Proceedings of the VLDB Endowment
  • Towards Accelerating Data Intensive Application's Shuffle Process Using SmartNICs (2023), Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • Accelerating Deep Learning Inference via Learned Caches (2021), arXiv (Cornell University)
  • CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters (2023), arXiv (Cornell University)
  • Accelerating Deep Learning Inference via Freezing (2020), arXiv (Cornell University)

Best Publications

  • Network traffic characteristics of data centers in the wild

    Theophilus Benson;Aditya Akella;David A. Maltz

  • Understanding data center traffic characteristics

    Theophilus Benson;Ashok Anand;Aditya Akella;Ming Zhang

  • MicroTE: fine grained traffic engineering for data centers

    Theophilus Benson;Ashok Anand;Aditya Akella;Ming Zhang

  • SANE: a protection architecture for enterprise networks

    Martin Casado;Tal Garfinkel;Aditya Akella;Michael J. Freedman

  • OpenNF: enabling innovation in network function control

    Aaron Gember-Jacobson;Raajay Viswanathan;Chaithan Prakash;Robert Grandl

  • Self-management in chaotic wireless deployments

    Aditya Akella;Glenn Judd;Srinivasan Seshan;Peter Steenkiste

  • Self-management in chaotic wireless deployments

    Aditya Akella;Glenn Judd;Srinivasan Seshan;Peter Steenkiste

  • Multi-resource packing for cluster schedulers

    Robert Grandl;Ganesh Ananthanarayanan;Srikanth Kandula;Sriram Rao

  • Developing a predictive model of quality of experience for internet video

    Athula Balachandran;Vyas Sekar;Aditya Akella;Srinivasan Seshan

  • Low Latency Geo-distributed Data Analytics

    Qifan Pu;Ganesh Ananthanarayanan;Peter Bodik;Srikanth Kandula

  • A measurement-based analysis of multihoming

    Aditya Akella;Bruce Maggs;Srinivasan Seshan;Anees Shaikh

  • An empirical evaluation of wide-area internet bottlenecks

    Aditya Akella;Srinivasan Seshan;Anees Shaikh

  • Packet caches on routers: the implications of universal redundant traffic elimination

    Ashok Anand;Archit Gupta;Aditya Akella;Srinivasan Seshan

  • CloudNaaS: a cloud networking platform for enterprise applications

    Theophilus Benson;Aditya Akella;Anees Shaikh;Sambit Sahu

  • Presto: Edge-based Load Balancing for Fast Datacenter Networks

    Keqiang He;Eric Rozner;Kanak Agarwal;Wes Felter

  • Redundancy in network traffic: findings and implications

    Ashok Anand;Chitra Muthukrishnan;Aditya Akella;Ramachandran Ramjee

  • SmartRE: an architecture for coordinated network-wide redundancy elimination

    Ashok Anand;Vyas Sekar;Aditya Akella

  • Unraveling the complexity of network management

    Theophilus Benson;Aditya Akella;David Maltz

  • Stratos: A Network-Aware Orchestration Layer for Middleboxes in the Cloud

    Aaron Gember;Anand Krishnamurthy;Saul St. John;Robert Grandl

  • Selfish behavior and stability of the internet: a game-theoretic analysis of TCP

    Aditya Akella;Srinivasan Seshan;Richard Karp;Scott Shenker

  • The design and operation of cloudlab

    Dmitry Duplyakin;Robert Ricci;Aleksander Maricq;Gary Wong

Frequent Co-Authors

Srinivasan Seshan
Srinivasan Seshan Carnegie Mellon University
Theophilus Benson
Theophilus Benson Carnegie Mellon University
Anees Shaikh
Anees Shaikh Google (United States)
Vyas Sekar
Vyas Sekar Carnegie Mellon University
Bruce M. Maggs
Bruce M. Maggs Duke University
Michael M. Swift
Michael M. Swift University of Wisconsin–Madison
Scott Shenker
Scott Shenker University of California, Berkeley
Shivaram Venkataraman
Shivaram Venkataraman University of Wisconsin–Madison
Ion Stoica
Ion Stoica University of California, Berkeley
Ratul Mahajan
Ratul Mahajan University of Washington

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