World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
99
Citations
59163
World Ranking
189
National Ranking
92

Computer Science

D-Index
110
Citations
63149
World Ranking
222
National Ranking
124

Ramesh Govindan 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 Ramesh Govindan 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: 359 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Ramesh Govindan 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 Ramesh Govindan 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: 99 D-Index — 97th percentile

97% 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

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2014 - IEEE Fellow For contributions to computer networking applied to sensor networks
  • 2011 - ACM Fellow For contributions to computer networking.

Overview

Ramesh Govindan is affiliated with the University of Southern California in the United States. Their research predominantly focuses on areas within computer science and engineering, with a significant emphasis on computer networks and communications.

The main fields of study in which they have contributed include:

  • Computer Science
  • Engineering

Within these fields, Govindan's subfields of study cover:

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Information Systems

Their main research topics encompass:

  • Software-Defined Networks and 5G
  • IoT and Edge/Fog Computing
  • Caching and Content Delivery
  • Cloud Computing and Resource Management
  • Age of Information Optimization
  • Real-Time Systems Scheduling
  • Interconnection Networks and Systems

Recent papers authored by Ramesh Govindan include:

  • "New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges" (2020), published in IEEE Internet of Things Journal
  • "Effective Routing and Scheduling Strategies for Fault-Tolerant Time-Sensitive Networking" (2023), published in IEEE Internet of Things Journal
  • "Gemini: Practical Reconfigurable Datacenter Networks with Topology and Traffic Engineering" (2021), published in arXiv (Cornell University)
  • "Reinforcement learning based routing for time-aware shaper scheduling in time-sensitive networks" (2023), published in Computer Networks
  • "AutoCast: Scalable Infrastructure-less Cooperative Perception for Distributed Collaborative Driving" (2021), published in arXiv (Cornell University)

They frequently publish in several venues, including:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • AIP conference proceedings
  • Computer Networks
  • IEEE Transactions on Mobile Computing

Ramesh Govindan has collaborated extensively with coauthors such as:

  • Pradipta Ghosh
  • Marcos A. M. Vieira
  • Pooria Namyar
  • Hang Qiu
  • Jeongyeup Paek

Their work has led to recognition in the form of awards including:

  • IEEE Fellow (2014) for contributions to computer networking applied to sensor networks
  • ACM Fellow (2011) for contributions to computer networking

Best Publications

  • Directed diffusion: a scalable and robust communication paradigm for sensor networks

    Chalermek Intanagonwiwat;Ramesh Govindan;Deborah Estrin

  • Next century challenges: scalable coordination in sensor networks

    Deborah Estrin;Ramesh Govindan;John Heidemann;Satish Kumar

  • Directed diffusion for wireless sensor networking

    Chalermek Intanagonwiwat;Ramesh Govindan;Deborah Estrin;John Heidemann

  • Highly Resilient, Energy Efficient Multipath Routing in Wireless Sensor Networks

    Deepak Ganesan;Ramesh Govindan;Scott Shenker;Deborah Estrin

  • Geographical and Energy Aware Routing: a recursive data dissemination protocol for wireless sensor networks

    Yan Yu;Ramesh Govindan;Deborah Estrin

  • Understanding Packet Delivery Performance In Dense Wireless Sensor Networks

    Jerry Zhao;R. Govindan

  • A wireless sensor network For structural monitoring

    Ning Xu;Sumit Rangwala;Krishna Kant Chintalapudi;Deepak Ganesan

  • GHT: a geographic hash table for data-centric storage

    Sylvia Ratnasamy;Brad Karp;Li Yin;Fang Yu

  • Diversity in smartphone usage

    Hossein Falaki;Ratul Mahajan;Srikanth Kandula;Dimitrios Lymberopoulos

  • Heuristics for Internet map discovery

    R. Govindan;H. Tangmunarunkit

  • Impact of network density on data aggregation in wireless sensor networks

    C. Intanagonwiwat;D. Estrin;R. Govindan;J. Heidemann

  • Building efficient wireless sensor networks with low-level naming

    John Heidemann;Fabio Silva;Chalermek Intanagonwiwat;Ramesh Govindan

  • Data-centric storage in sensornets with GHT, a geographic hash table

    Sylvia Ratnasamy;Brad Karp;Scott Shenker;Deborah Estrin

  • The origin of power laws in Internet topologies revisited

    Qian Chen;Hyunseok Chang;R. Govindan;S. Jamin

  • The impact of spatial correlation on routing with compression in wireless sensor networks

    Sundeep Pattem;Bhaskar Krishnamachari;Ramesh Govindan

  • Energy-efficient rate-adaptive GPS-based positioning for smartphones

    Jeongyeup Paek;Joongheon Kim;Ramesh Govindan

  • Multi-dimensional Range Queries in Sensor Networks

    Xin Li;Young Jin Kim;Ramesh Govindan;Wei Hong

  • Network topology generators: degree-based vs. structural

    Hongsuda Tangmunarunkit;Ramesh Govindan;Sugih Jamin;Scott Shenker

  • Geographic routing made practical

    Young-Jin Kim;Ramesh Govindan;Brad Karp;Scott Shenker

  • Computing aggregates for monitoring wireless sensor networks

    J. Zhao;R. Govindan;D. Estrin

  • Editorial: wireless sensor networks

    Erdal Cayirci;Ramesh Govindan;Taieb Znati;Mani Srivastava

  • Next Century Challenges: Mobile Networking for Smart Dust

    Deborah Estrin;Ramesh Govindan;John S. Heidemann;Satish Kumar

Frequent Co-Authors

Deborah Estrin
Deborah Estrin Cornell University
John Heidemann
John Heidemann University of Southern California
Scott Shenker
Scott Shenker University of California, Berkeley
Gaurav S. Sukhatme
Gaurav S. Sukhatme University of Southern California
Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Jeongyeup Paek
Jeongyeup Paek Chung-Ang University
Amotz Bar-Noy
Amotz Bar-Noy City University of New York
Ashish Goel
Ashish Goel Stanford University
Ethan Katz-Bassett
Ethan Katz-Bassett Columbia University
Omprakash Gnawali
Omprakash Gnawali University of Houston

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