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

D-Index & Metrics

Computer Science

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

Electronics and Electrical Engineering

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

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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