2026 Prabhakar Raghavan: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	89	627	609	332	322	256	73988

Research.com Recognitions

2014 - IEEE Fellow For contributions to robust scalable sparse solvers and energy-efficient parallel scientific computing
2008 - Member of the National Academy of Engineering For significant contributions to algorithms and the structure of the World Wide Web.
2001 - ACM Fellow For contributions to the theory and practice of randomized algorithms.

Overview

Prabhakar Raghavan is affiliated with Google in the United States. Their research spans multiple areas within computer science, focusing on Network Traffic and Congestion Control, Big Data and Business Intelligence, and Computability, Logic, and AI Algorithms.

Recent publications reflect activity across various domains and venues. Notable papers include:

AI-Based Traffic Prediction and Load Balancing in Wireless Networks, 2024, International Journal of Global Innovations and Solutions (IJGIS)
Search Engines: From the Lab to the Engine Room, and Back, 2022, Proceedings of the ACM Web Conference 2022
From Legacy QA to Continuous Quality: Lessons in Leading Multi-Vendor Testing across Critical Industries, 2023, International Journal of Innovative Research in Computer and Communication Engineering
The Future of Quality Engineering: How AI-Driven Test Automation is Redefining Enterprise Delivery, 2022, International Journal of Innovative Research in Science Engineering and Technology
The Future of Quality Engineering: How AI-Driven Test Automation is Redefining Enterprise Delivery, 2025, SSRN Electronic Journal

Frequent co-authors include:

Satyen Kumar Panda
Abhishek Upadhyay
Sukanya Konatam
Naresh Dulam
Ansh Nagda

Published work has appeared in these venues:

International Journal of Global Innovations and Solutions (IJGIS)
Proceedings of the ACM Web Conference 2022
International Journal of Innovative Research in Computer and Communication Engineering
International Journal of Innovative Research in Science Engineering and Technology
SSRN Electronic Journal

Research spans several subfields of study, including:

Computer Networks and Communications
Management Information Systems
Computational Theory and Mathematics

Recognitions and honors received by Prabhakar Raghavan include:

IEEE Fellow (2014) for contributions to robust scalable sparse solvers and energy-efficient parallel scientific computing
Member of the National Academy of Engineering (2008) for significant contributions to algorithms and the structure of the World Wide Web
ACM Fellow (2001) for contributions to the theory and practice of randomized algorithms

Best Publications

Introduction to Information Retrieval

Christopher D. Manning;Prabhakar Raghavan;Hinrich Schütze

20204
Citations
Randomized Algorithms

Rajeev Motwani;Prabhakar Raghavan

7095
Citations
Graph structure in the Web

Andrei Broder;Ravi Kumar;Farzin Maghoul;Prabhakar Raghavan

4557
Citations
Automatic subspace clustering of high dimensional data for data mining applications

Rakesh Agrawal;Johannes Gehrke;Dimitrios Gunopulos;Prabhakar Raghavan

4217
Citations
Propagation of trust and distrust

R. Guha;Ravi Kumar;Prabhakar Raghavan;Andrew Tomkins

2058
Citations
Latent semantic indexing: a probabilistic analysis

Christos H. Papadimitriou;Hisao Tamaki;Prabhakar Raghavan;Santosh Vempala

1636
Citations
Trawling the Web for emerging cyber-communities

Ravi Kumar;Prabhakar Raghavan;Sridhar Rajagopalan;Andrew Tomkins

1624
Citations
The web as a graph: measurements, models, and methods

Jon M. Kleinberg;Ravi Kumar;Prabhakar Raghavan;Sridhar Rajagopalan

1533
Citations
Inferring Web communities from link topology

David Gibson;Jon Kleinberg;Prabhakar Raghavan

1309
Citations
Randomized rounding: a technique for provably good algorithms and algorithmic proofs

Prabhakar Raghavan;Clark D. Tompson

1301
Citations
Automatic resource compilation by analyzing hyperlink structure and associated text

Soumen Chakrabarti;Byron Dom;Prabhakar Raghavan;Sridhar Rajagopalan

1159
Citations
Geographic routing in social networks

David Liben-Nowell;Jasmine Novak;Ravi Kumar;Prabhakar Raghavan

1119
Citations
Stochastic models for the Web graph

R. Kumar;P. Raghavan;S. Rajagopalan;D. Sivakumar

1055
Citations
Mining the Web's link structure

S. Chakrabarti;B.E. Dom;S.R. Kumar;P. Raghavan

945
Citations
On the bursty evolution of blogspace

Ravi Kumar;Jasmine Novak;Prabhakar Raghavan;Andrew Tomkins

905
Citations
The electrical resistance of a graph captures its commute and cover times

Ashok K. Chandra;Prabhakar Raghavan;Walter L. Ruzzo;Roman Smolensky

745
Citations
Visualizing tags over time

Micah Dubinko;Ravi Kumar;Joseph Magnani;Jasmine Novak

741
Citations
Multilevel taxonomy based on features derived from training documents classification using fisher values as discrimination values

Rakesh Agrawal;Soumen Chakrabarti;Byron Edward Dom;Prabhakar Raghavan

704
Citations
Symphony: distributed hashing in a small world

Gurmeet Singh Manku;Mayank Bawa;Prabhakar Raghavan

654
Citations
Computing on data streams

Monika R. Henzinger;Prabhakar Raghavan;Sridhar Rajagopalan

629
Citations
Latent Semantic Indexing

Christos H. Papadimitriou;Prabhakar Raghavan;Hisao Tamaki;Santosh Vempala

581
Citations
Randomized Algorithms: Tail Inequalities

Rajeev Motwani;Prabhakar Raghavan

5
Citations
Randomized Rounding: A Technique for Provably Good Algorithms and

Prabhakar Raghavan;Clark D. Thompson

2
Citations

Frequent Co-Authors

Andrew Tomkins Google (United States)

Ravi Kumar Google (United States)

Christopher D. Manning Stanford University

Eli Upfal Brown University

Hinrich Schütze Ludwig-Maximilians-Universität München

Jon Kleinberg Cornell University

Sridhar Rajagopalan IBM (United States)

Rajeev Motwani Stanford University

Don Coppersmith IBM (United States)

Anna R. Karlin University of Washington

External Links

Wikipedia of Prabhakar Raghavan Personal website of Prabhakar Raghavan Google Scholar page

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