World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
8816
World Ranking
11919
National Ranking
4865

Overview

Vijayshankar Raman is affiliated with Google in the United States, where they contribute to research primarily in the field of Computer Science. Their work spans several subfields including Computer Networks and Communications, Signal Processing, and Information Systems.

The main topics of their research focus on Advanced Database Systems and Queries, Data Management and Algorithms, and Cloud Computing and Resource Management. These areas reflect a concentration on developing and optimizing data handling and computational resource techniques in cloud environments and complex database systems.

The scientist has published research in venues such as the Proceedings of the VLDB Endowment. One notable paper is titled Napa, published in 2021 in the Proceedings of the VLDB Endowment.

Frequent co-authors collaborating with Vijayshankar Raman include:

  • Ankur Agiwal
  • Kevin Lai
  • Gokul Nath Babu Manoharan
  • Indrajit Roy
  • Jagan Sankaranarayanan

Most of their publications are associated with the Proceedings of the VLDB Endowment, which suggests a specialization or recurring contribution to this venue in the database and data management research community.

Best Publications

  • TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.

    Sirish Chandrasekaran;Owen Cooper;Amol Deshpande;Michael J. Franklin

  • Continuously adaptive continuous queries over streams

    Samuel Madden;Mehul Shah;Joseph M. Hellerstein;Vijayshankar Raman

  • Potter's Wheel: An Interactive Data Cleaning System

    Vijayshankar Raman;Joseph M. Hellerstein

  • Adaptive Query Processing

    Amol Deshpande;Zachary Ives;Vijayshankar Raman

  • DB2 with BLU acceleration: so much more than just a column store

    Vijayshankar Raman;Gopi Attaluri;Ronald Barber;Naresh Chainani

  • Robust query processing through progressive optimization

    Volker Markl;Vijayshankar Raman;David Simmen;Guy Lohman

  • Adaptive Query Processing: Technology in Evolution.

    Joseph M. Hellerstein;Michael J. Franklin;Sirish Chandrasekaran;Amol Deshpande

  • Interactive data analysis: the Control project

    J.M. Hellerstein;R. Avnur;A. Chou;C. Hidber

  • Method for Compressed Data with Reduced Dictionary Sizes by Coding Value Prefixes

    Pablo Diaz-Gutierrez;Vijayshankar Raman;Garret Swart

  • System, method, and computer program product for progressive query processing

    Guy Maring Lohman;Marki Volker;Mir Hamid Pirahesh;Vijayshankar Raman

  • Using state modules for adaptive query processing

    Vijayshankar Raman;A. Deshpande;J.M. Hellerstein

  • LEO: An autonomic query optimizer for DB2

    V. Markl;G. M. Lohman;V. Raman

  • Constant-Time Query Processing

    V. Raman;G. Swart;Lin Qiao;F. Reiss

  • Main-memory scan sharing for multi-core CPUs

    Lin Qiao;Vijayshankar Raman;Frederick Reiss;Peter J. Haas

  • Progressive refinement of a federated query plan during query execution

    Stephan Eberhard Ewen;Holger Kache;Volker Gerhard Markl;Vijayshankar Raman

  • Memory-efficient hash joins

    R. Barber;G. Lohman;I. Pandis;V. Raman

  • NUMA-aware algorithms: the case of data shuffling.

    Yinan Li;Ippokratis Pandis;René Müller;Vijayshankar Raman

  • Partial results for online query processing

    Vijayshankar Raman;Joseph M. Hellerstein

  • Row-wise parallel predicate evaluation

    Ryan Johnson;Vijayshankar Raman;Richard Sidle;Garret Swart

  • How to barter bits for chronons: compression and bandwidth trade offs for database scans

    Allison L. Holloway;Vijayshankar Raman;Garret Swart;David J. DeWitt

Frequent Co-Authors

Guy M. Lohman
Guy M. Lohman IBM (United States)
Inderpal S. Narang
Inderpal S. Narang IBM (United States)
Sam Lightstone
Sam Lightstone IBM (United States)
Volker Markl
Volker Markl Technical University of Berlin
Chandrasekaran Mohan
Chandrasekaran Mohan IBM (United States)
Joseph M. Hellerstein
Joseph M. Hellerstein University of California, Berkeley
Mir Hamid Pirahesh
Mir Hamid Pirahesh IBM (United States)
Hamid Pirahesh
Hamid Pirahesh IBM (United States)
Amol Deshpande
Amol Deshpande University of Maryland, College Park
Peter J. Haas
Peter J. Haas University of Massachusetts Amherst

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Computer Science isn’t your only option if you want to study technology or start a high-paying tech career in the USA. There are quick online degrees that pay well for those seeking a faster route into the job market. These programs often focus on practical skills, allowing you to start working in tech roles sooner.

Artificial Intelligence is another hot field. Many universities now offer ai degrees online, which can position you for cutting-edge careers in data science, robotics, and machine learning. These programs combine theoretical foundations with hands-on projects, preparing students for a rapidly evolving industry.

Not sure which pathway is right for you? Check out these college programs that offer strong career prospects in tech, business, and beyond. If you’re looking to advance your education, you’ll also find insights about the easiest masters degrees that can help you upskill or switch careers without a heavy academic load.

Best Scientists Citing Vijayshankar Raman

Trending Scientists

Recently Published Articles