World's Best Scientists 2026 revealed!
Mohammad Alizadeh

Mohammad Alizadeh

D-Index & Metrics

Computer Science

D-Index
56
Citations
16619
World Ranking
3993
National Ranking
1901

Mohammad Alizadeh 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 Mohammad Alizadeh 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: 128 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Mohammad Alizadeh 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 Mohammad Alizadeh 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2017 - Fellow of Alfred P. Sloan Foundation

Overview

Mohammad Alizadeh is affiliated with MIT in the United States and has contributed extensively to the field of computer science. Their research spans multiple areas, including computer networks and communications, artificial intelligence, signal processing, information systems, and computer vision and pattern recognition.

The scientist's work has been disseminated through various publication venues. Frequent venues include arXiv (Cornell University) with 15 publications, Proceedings of the VLDB Endowment with 3 publications, Scientific Reports with 3 publications, Proceedings of the ACM on Management of Data with 1 publication, and ACM SIGMOD Record with 1 publication.

From their recent papers, notable works include:

  • "Tsunami" (2020), published in Proceedings of the VLDB Endowment
  • "Flow-loss" (2021), published in Proceedings of the VLDB Endowment
  • "Robust Query Driven Cardinality Estimation under Changing Workloads" (2023), published in Proceedings of the VLDB Endowment
  • "Real-world Video Adaptation with Reinforcement Learning" (2020), published in arXiv (Cornell University)
  • "FactorJoin: A New Cardinality Estimation Framework for Join Queries" (2023), published in Proceedings of the ACM on Management of Data

Frequent coauthors collaborating with Mohammad Alizadeh include Tim Kraska, Parimarjan Negi, Ryan Marcus, Hongzi Mao, and Nesime Tatbul. These collaborations reflect ongoing partnerships in various subfields within computer science.

Research topics addressed in their work encompass:

  • Data Management and Algorithms
  • Data Stream Mining Techniques
  • Distributed Systems and Fault Tolerance
  • Blockchain Technology Applications and Security
  • Interconnection Networks and Systems
  • Advanced Database Systems and Queries
  • Cloud Computing and Resource Management

Mohammad Alizadeh's contributions are primarily situated within the following fields and subfields:

  • Computer Science
  • Computer Networks and Communications
  • Artificial Intelligence
  • Signal Processing
  • Information Systems
  • Computer Vision and Pattern Recognition

In recognition of their work, they have been awarded the Fellow of the Alfred P. Sloan Foundation in 2017.

Best Publications

  • Data center TCP (DCTCP)

    Mohammad Alizadeh;Albert Greenberg;David A. Maltz;Jitendra Padhye

  • Neural Adaptive Video Streaming with Pensieve

    Hongzi Mao;Ravi Netravali;Mohammad Alizadeh

  • Resource Management with Deep Reinforcement Learning

    Hongzi Mao;Mohammad Alizadeh;Ishai Menache;Srikanth Kandula

  • CONGA: distributed congestion-aware load balancing for datacenters

    Mohammad Alizadeh;Tom Edsall;Sarang Dharmapurikar;Ramanan Vaidyanathan

  • pFabric: minimal near-optimal datacenter transport

    Mohammad Alizadeh;Shuang Yang;Milad Sharif;Sachin Katti

  • Learning scheduling algorithms for data processing clusters

    Hongzi Mao;Malte Schwarzkopf;Shaileshh Bojja Venkatakrishnan;Zili Meng

  • Less is more: trading a little bandwidth for ultra-low latency in the data center

    Mohammad Alizadeh;Abdul Kabbani;Tom Edsall;Balaji Prabhakar

  • HPCC: high precision congestion control

    Yuliang Li;Rui Miao;Hongqiang Harry Liu;Yan Zhuang

  • RoadTracer: Automatic Extraction of Road Networks from Aerial Images

    Favyen Bastani;Songtao He;Sofiane Abbar;Mohammad Alizadeh

  • Homa: a receiver-driven low-latency transport protocol using network priorities

    Behnam Montazeri;Yilong Li;Mohammad Alizadeh;John Ousterhout

  • Neo: a learned query optimizer

    Ryan Marcus;Parimarjan Negi;Hongzi Mao;Chi Zhang

  • EyeQ: practical network performance isolation at the edge

    Vimalkumar Jeyakumar;Mohammad Alizadeh;David Mazières;Balaji Prabhakar

  • Programmable Packet Scheduling at Line Rate

    Anirudh Sivaraman;Suvinay Subramanian;Mohammad Alizadeh;Sharad Chole

  • Learning Multi-Dimensional Indexes

    Vikram Nathan;Jialin Ding;Mohammad Alizadeh;Tim Kraska

  • Language-Directed Hardware Design for Network Performance Monitoring

    Srinivas Narayana;Anirudh Sivaraman;Vikram Nathan;Prateesh Goyal

  • Packet Transactions: High-Level Programming for Line-Rate Switches

    Anirudh Sivaraman;Alvin Cheung;Mihai Budiu;Changhoon Kim

  • Homa: A Receiver-Driven Low-Latency Transport Protocol Using Network Priorities (Complete Version)

    Behnam Montazeri;Yilong Li;Mohammad Alizadeh;John Ousterhout

  • Adaptive Neural Signal Detection for Massive MIMO

    Mehrdad Khani;Mohammad Alizadeh;Jakob Hoydis;Phil Fleming

  • Let It Flow: Resilient Asymmetric Load Balancing with Flowlet Switching

    Erico Vanini;Rong Pan;Mohammad Alizadeh;Parvin Taheri

  • Analysis of DCTCP: stability, convergence, and fairness

    Mohammad Alizadeh;Adel Javanmard;Balaji Prabhakar

  • Millions of little minions: using packets for low latency network programming and visibility

    Vimalkumar Jeyakumar;Mohammad Alizadeh;Yilong Geng;Changhoon Kim

  • SageDB: A Learned Database System

    Tim Kraska;Mohammad Alizadeh;Alex Beutel;Ed H. Chi

  • Packet Transactions: High-level Programming for Line-Rate Switches

    Anirudh Sivaraman;Mihai Budiu;Alvin Cheung;Changhoon Kim

Frequent Co-Authors

Balaji Prabhakar
Balaji Prabhakar Stanford University
Sachin Katti
Sachin Katti Stanford University
Changhoon Kim
Changhoon Kim Intel (United States)
Nick McKeown
Nick McKeown Stanford University
Pramod Viswanath
Pramod Viswanath Princeton University
David Mazières
David Mazières Stanford University
George Varghese
George Varghese University of California, Los Angeles

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