World's Best Scientists 2026 revealed!
Anand Rajaraman

Anand Rajaraman

D-Index & Metrics

Computer Science

D-Index
41
Citations
18692
World Ranking
8571
National Ranking
3667

Overview

Anand Rajaraman is affiliated with Rocketship.vc in the United States. Their research primarily belongs to the field of Computer Science, with specialized focus within Information Systems. The main topics addressed in their work include Data Mining Algorithms and Applications.

They have contributed to at least one major publication, titled Mining of Massive Datasets, published in 2020 by Cambridge University Press. This book has accumulated significant academic attention, evidenced by its citations. Additionally, a recent paper associated with Anand is Index, published in 2020 within Cambridge University Press eBooks.

Frequent collaborators include:

  • Jure Leskovec
  • Jeffrey D. Ullman

Their publications appear primarily in venues such as:

  • Cambridge University Press eBooks

Their scholarly contributions involve data mining within information systems, contributing to both theoretical and applied aspects of Computer Science. The professional affiliation with Rocketship.vc situates them within a venture capital environment, implying an interplay between research and industry application.

Best Publications

  • Mining of Massive Datasets

    Anand Rajaraman;Jeffrey David Ullman

  • Implementing data cubes efficiently

    Venky Harinarayan;Anand Rajaraman;Jeffrey D. Ullman

  • Querying Heterogeneous Information Sources Using Source Descriptions

    Alon Y. Levy;Anand Rajaraman;Joann J. Ordille

  • The TSIMMIS Approach to Mediation: Data Models and Languages

    Hector Garcia-Molina;Yannis Papakonstantinou;Dallan Quass;Anand Rajaraman

  • Search engine system for locating web pages with product offerings

    David R. Bailey;Todd J. Feldman;Anand Rajaraman

  • Data integration: the teenage years

    Alon Halevy;Anand Rajaraman;Joann Ordille

  • Change detection in hierarchically structured information

    Sudarshan S. Chawathe;Anand Rajaraman;Hector Garcia-Molina;Jennifer Widom

  • SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity

    Qingyuan Zhao;Murat A. Erdogdu;Hera Y. He;Anand Rajaraman

  • Index selection for OLAP

    H. Gupta;V. Harinarayan;A. Rajaraman;J.D. Ullman

  • Method and system for automatically filling forms in an integrated network based transaction environment

    Ashish Gupta;Anand Rajaraman

  • Processing data feeds

    Taraka Subrahmanya Prasad Siripurapu;Wang Chee Lam;Digvijay Singh Lamba;Anand Rajaraman

  • Conjunctive query containment revisited

    Chandra Chekuri;Anand Rajaraman

  • Answering Queries using Templates with Binding Patterns

    Anand Rajaraman;Yehoshua Sagiv;Jeffrey D. Ullman

  • Method and system for integrating transaction mechanisms over multiple internet sites

    Yan Philippe;Rakesh Mathur;Anand Rajaraman

  • Query-answering algorithms for information agents

    Alon Y. Levy;Anand Rajaraman;Joann J. Ordille

  • Mining of Massive Datasets, 2nd Ed.

    Jure Leskovec;Anand Rajaraman;Jeffrey D. Ullman

  • Querying Semistructured Heterogeneous Information

    Dallan Quass;Anand Rajaraman;Yehoshua Sagiv;Jeffrey D. Ullman

  • Indexing Semistructured Data

    J. McHugh;J. Widom;S. Abiteboul;Q. Luo

  • METHOD FOR RESPONDING TO SINGLE HIGH-LEVEL STRUCTURED USER QUERY

    Ashish Kapta;Benkii Harinariyan;Daran Kuass;Rajaraman Anand

  • Answering queries using templates with binding patterns (extended abstract)

    Anand Rajaraman;Yehoshua Sagiv;Jeffrey D. Ullman

  • Querying Semistructured Heterogeneous Information

    Dallan Quass;Anand Rajaraman;Jeffrey D. Ullman;Jennifer Widom

Frequent Co-Authors

Jeffrey D. Ullman
Jeffrey D. Ullman Stanford University
Jure Leskovec
Jure Leskovec Stanford University
Jennifer Widom
Jennifer Widom Stanford University
Alon Y. Levy
Alon Y. Levy Facebook (United States)
Yehoshua Sagiv
Yehoshua Sagiv Hebrew University of Jerusalem
AnHai Doan
AnHai Doan University of Wisconsin–Madison
Hector Garcia-Molina
Hector Garcia-Molina Stanford University
Serge Abiteboul
Serge Abiteboul École Normale Supérieure
Alon Halevy
Alon Halevy Facebook (United States)
Chandra Chekuri
Chandra Chekuri University of Illinois at Urbana-Champaign

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

Exploring Computer Science in the USA opens doors to a variety of online degrees and career pathways. Students can first consider their options among the college majors that best align with their interests and job goals. Computer Science consistently ranks high as a flexible and in-demand field.

For those looking to further boost their credentials, online master’s programs offer valuable specialization. Some may gravitate toward the easiest master degree to get, balancing academic challenge with workload and career benefits.

Ambitious learners considering doctoral study now have more affordable and quicker options. The cheapest phd programs online help cut costs while providing advanced skills and research opportunities. Alternatively, those interested in education leadership might explore the easiest edd programs to fast-track their careers in academic or administrative roles.

Each of these online pathways offers unique flexibility for working professionals and international students, supporting diverse goals in the growing tech sector.

Best Scientists Citing Anand Rajaraman

Trending Scientists