World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
11412
World Ranking
7817
National Ranking
3382

Timothy Wood 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 Timothy Wood 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: 103 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Timothy Wood 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 Timothy Wood 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Timothy Wood is affiliated with George Washington University in the United States and focuses their research within the field of Computer Science. Their work involves multiple subfields, prominently including Computer Networks and Communications, Information Systems, and Electrical and Electronic Engineering.

The main topics of Timothy Wood's research cover a range of areas related to networking and software systems. These include:

  • Software-Defined Networks and 5G
  • Software System Performance and Reliability
  • Network Traffic and Congestion Control
  • Caching and Content Delivery
  • Interconnection Networks and Systems
  • Cloud Computing and Resource Management
  • Green IT and Sustainability

Timothy Wood has published several papers, with notable recent works including:

  • "NFVnice: Dynamic Backpressure and Scheduling for NFV Service Chains", published in 2020 in IEEE/ACM Transactions on Networking
  • "REINFORCE: Achieving Efficient Failure Resiliency for Network Function Virtualization-Based Services", published in 2020 in IEEE/ACM Transactions on Networking
  • "Dynamically Balancing Load with Overload Control for Microservices", published in 2024 in ACM Transactions on Autonomous and Adaptive Systems
  • "Introduction to the Special Issue with Selected Papers of The International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) 2020", published in 2020 in ACM Transactions on Autonomous and Adaptive Systems

Their frequent publication venues reflect their research interests and include:

  • IEEE/ACM Transactions on Networking
  • ACM Transactions on Autonomous and Adaptive Systems

Timothy Wood has collaborated regularly with several coauthors, among whom the most frequent include:

  • Sameer G. Kulkarni
  • K. K. Ramakrishnan
  • Mayutan Arumaithurai
  • Xiaoming Fu
  • Wei Zhang

Best Publications

  • The feasibility of launching and detecting jamming attacks in wireless networks

    Wenyuan Xu;Wade Trappe;Yanyong Zhang;Timothy Wood

  • Black-box and gray-box strategies for virtual machine migration

    Timothy Wood;Prashant Shenoy;Arun Venkataramani;Mazin Yousif

  • Agile dynamic provisioning of multi-tier Internet applications

    Bhuvan Urgaonkar;Prashant Shenoy;Abhishek Chandra;Pawan Goyal

  • NetVM: High Performance and Flexible Networking Using Virtualization on Commodity Platforms

    Jinho Hwang;K. K. Ramakrishnan;Timothy Wood

  • CloudNet: dynamic pooling of cloud resources by live WAN migration of virtual machines

    Timothy Wood;K. K. Ramakrishnan;Prashant Shenoy;Jacobus Van der Merwe

  • Sandpiper: Black-box and gray-box resource management for virtual machines

    Timothy Wood;Prashant Shenoy;Arun Venkataramani;Mazin Yousif

  • Channel surfing and spatial retreats: defenses against wireless denial of service

    Wenyuan Xu;Timothy Wood;Wade Trappe;Yanyong Zhang

  • NetVM: high performance and flexible networking using virtualization on commodity platforms

    Jinho Hwang;K. K. Ramakrishnan;Timothy Wood

  • CloudNet: dynamic pooling of cloud resources by live WAN migration of virtual machines

    Timothy Wood;K. K. Ramakrishnan;Prashant Shenoy;Jacobus van der Merwe

  • Profiling and modeling resource usage of virtualized applications

    Timothy Wood;Ludmila Cherkasova;Kivanc Ozonat;Prashant Shenoy

  • Methods and apparatus to migrate virtual machines between distributive computing networks across a wide area network

    Kadangode K. Ramakrishnan;Jacobus E. Van der Merwe;Prashant Shenoy;Timothy Wood

  • Memory buddies: exploiting page sharing for smart colocation in virtualized data centers

    Timothy Wood;Gabriel Tarasuk-Levin;Prashant Shenoy;Peter Desnoyers

  • Memory buddies: exploiting page sharing for smart colocation in virtualized data centers

    Timothy Wood;Gabriel Tarasuk-Levin;Prashant Shenoy;Peter Desnoyers

  • Disaster recovery as a cloud service: economic benefits & deployment challenges

    Timothy Wood;Emmanuel Cecchet;K. K. Ramakrishnan;Prashant Shenoy

  • Profiling and Modeling Resource Usage of Virtualized Applications

    Unknown

  • OpenNetVM: A Platform for High Performance Network Service Chains

    Wei Zhang;Guyue Liu;Wenhui Zhang;Neel Shah

  • The case for enterprise-ready virtual private clouds

    Timothy Wood;Alexandre Gerber;K. K. Ramakrishnan;Prashant Shenoy

  • Toward a software-based network: integrating software defined networking and network function virtualization

    Timothy Wood;K. K. Ramakrishnan;Jinho Hwang;Grace Liu

  • Virtual function placement and traffic steering in flexible and dynamic software defined networks

    Ali Mohammadkhan;Sheida Ghapani;Guyue Liu;Wei Zhang

  • A component-based performance comparison of four hypervisors

    Jinho Hwang;Sai Zeng;Frederick Y. Wu;Timothy Wood

  • NFVnice: Dynamic Backpressure and Scheduling for NFV Service Chains

    Sameer G. Kulkarni;Wei Zhang;Jinho Hwang;Shriram Rajagopalan

Frequent Co-Authors

Kadangode K. Ramakrishnan
Kadangode K. Ramakrishnan University of California, Riverside
Prashant Shenoy
Prashant Shenoy University of Massachusetts Amherst
Jacobus Van der Merwe
Jacobus Van der Merwe University of Utah
Arun Venkataramani
Arun Venkataramani University of Massachusetts Amherst
Xiaoming Fu
Xiaoming Fu University of Göttingen
Wenyuan Xu
Wenyuan Xu Zhejiang University
Wade Trappe
Wade Trappe Rutgers, The State University of New Jersey
Yanyong Zhang
Yanyong Zhang University of Science and Technology of China
Sambit Sahu
Sambit Sahu IBM (United States)

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