D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 42 Citations 6,951 153 World Ranking 4177 National Ranking 2100

Research.com Recognitions

Awards & Achievements

2018 - ACM Distinguished Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • The Internet

Indranil Gupta spends much of his time researching Distributed computing, Computer network, Scalability, Cloud computing and Wireless sensor network. He undertakes multidisciplinary studies into Distributed computing and Grid computing in his work. His Computer network study which covers Random graph that intersects with Session.

His research in Scalability intersects with topics in Data stream, Protocol, Stream processing and Robustness. The concepts of his Cloud computing study are interwoven with issues in Testbed and Dataflow. His Wireless sensor network research incorporates themes from Broadcasting, Latency, Wireless Application Protocol and Broadcasting.

His most cited work include:

  • Cluster-head election using fuzzy logic for wireless sensor networks (439 citations)
  • Kelips: Building an efficient and stable P2P DHT through increased memory and background overhead (297 citations)
  • Smart Gossip: An Adaptive Gossip-based Broadcasting Service for Sensor Networks (157 citations)

What are the main themes of his work throughout his whole career to date?

Indranil Gupta mostly deals with Distributed computing, Computer network, Scalability, Wireless sensor network and Probabilistic logic. His Distributed computing research is multidisciplinary, incorporating perspectives in Latency, Overlay, PlanetLab, Scheduling and Cloud computing. His Overlay study incorporates themes from Overlay network and Load balancing.

His Node, Multicast, Peer-to-peer, Network topology and Network packet investigations are all subjects of Computer network research. His Scalability research incorporates elements of Theoretical computer science, Overhead, Protocol and Reliability. The study incorporates disciplines such as Energy consumption, Key distribution in wireless sensor networks, Real-time computing and Wireless in addition to Wireless sensor network.

He most often published in these fields:

  • Distributed computing (58.74%)
  • Computer network (26.21%)
  • Scalability (23.30%)

What were the highlights of his more recent work (between 2016-2021)?

  • Distributed computing (58.74%)
  • Key (6.31%)
  • Stochastic gradient descent (3.40%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Distributed computing, Key, Stochastic gradient descent, Byzantine fault tolerance and Stream processing. Indranil Gupta has included themes like Latency, Artificial neural network, Asynchronous communication, Synchronization and Server in his Distributed computing study. His work deals with themes such as Value, Algorithm and Theoretical computer science, which intersect with Key.

Indranil Gupta regularly ties together related areas like Scalability in his Stream processing studies. His studies in Software deployment integrate themes in fields like Wireless and Computer network. The Computer network study combines topics in areas such as Real-time computing, Error detection and correction and State.

Between 2016 and 2021, his most popular works were:

  • Samza: stateful scalable stream processing at LinkedIn (112 citations)
  • Generalized Byzantine-tolerant SGD. (62 citations)
  • Asynchronous Federated Optimization (61 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Computer network
  • The Internet

His primary scientific interests are in Distributed computing, Stochastic gradient descent, Byzantine architecture, Byzantine fault tolerance and Zeno's paradoxes. The various areas that Indranil Gupta examines in his Distributed computing study include Asynchronous communication and Graph partition. His Stochastic gradient descent research integrates issues from Synchronization, Overhead and Adaptive learning.

Along with Byzantine architecture, other disciplines of study including Server, Resilience, Commerce, Product and Product are integrated into his research. Among his Zeno's paradoxes studies, you can observe a synthesis of other disciplines of science such as Fault tolerance, Key and Ranking. His study in Theoretical computer science extends to Key with its themes.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Cluster-head election using fuzzy logic for wireless sensor networks

Indranil Gupta;D. Riordan;Srinivas Sampalli.
conference on communication networks and services research (2005)

689 Citations

Kelips: Building an efficient and stable P2P DHT through increased memory and background overhead

Indranil Gupta;Kenneth P. Birman;Prakash Linga;Alan J. Demers.
international workshop on peer to peer systems (2003)

460 Citations

On scalable and efficient distributed failure detectors

Indranil Gupta;Tushar D. Chandra;Germán S. Goldszmidt.
principles of distributed computing (2001)

257 Citations

Smart Gossip: An Adaptive Gossip-based Broadcasting Service for Sensor Networks

Pradeep Kyasanur;Romit Choudhury;Indranil Gupta.
mobile adhoc and sensor systems (2006)

238 Citations

Scalable fault-tolerant aggregation in large process groups

I. Gupta;R. Van Renesse;K.P. Birman.
dependable systems and networks (2001)

223 Citations

Samza: stateful scalable stream processing at LinkedIn

Shadi A. Noghabi;Kartik Paramasivam;Yi Pan;Navina Ramesh.
very large data bases (2017)

212 Citations

Open Cirrus: A Global Cloud Computing Testbed

Arutyun I Avetisyan;Roy Campbell;Indranil Gupta;Michael T Heath.
IEEE Computer (2010)

197 Citations

AdapCode: Adaptive Network Coding for Code Updates in Wireless Sensor Networks

I-Hong Hou;Yu-En Tsai;T.F. Abdelzaher;I. Gupta.
international conference on computer communications (2008)

190 Citations

SWIM: scalable weakly-consistent infection-style process group membership protocol

A. Das;I. Gupta;A. Motivala.
dependable systems and networks (2002)

185 Citations

Making cloud intermediate data fault-tolerant

Steven Y. Ko;Imranul Hoque;Brian Cho;Indranil Gupta.
symposium on cloud computing (2010)

153 Citations

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