World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
3183
World Ranking
13770
National Ranking
5468

Overview

What is he best known for?

The fields of study he is best known for:

  • Database
  • Operating system
  • Programming language

Shailendra Mishra focuses on Data stream management system, Data structure, Class, Database and Operator. Within one scientific family, he focuses on topics pertaining to Theoretical computer science under Data stream management system, and may sometimes address concerns connected to Metadata. His Data structure research integrates issues from Discrete mathematics, World Wide Web, The Internet, Asynchronous communication and Event.

His studies deal with areas such as Regular expression, Object based, Data mining and Pattern matching as well as Class. The various areas that Shailendra Mishra examines in his Database study include Java, Database connectivity, Application server and Set. His Operator research is multidisciplinary, incorporating elements of Process, Distributed computing, State, Relation and Computation.

His most cited work include:

  • Processing XML data stream(s) using continuous queries in a data stream management system (146 citations)
  • Adding new continuous queries to a data stream management system operating on existing queries (102 citations)
  • Methods and systems for asynchronous notification of database events (88 citations)

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

The scientist’s investigation covers issues in Database, Computer network, Data stream management system, Complex event processing and Set. His work deals with themes such as Event, Scheduling and Data stream mining, which intersect with Database. His Data stream management system study integrates concerns from other disciplines, such as Process, Metadata and Operator.

His biological study spans a wide range of topics, including Distributed computing, Relation and State. His Complex event processing research is multidisciplinary, relying on both Extensibility, Application server and Java, Database connectivity. His research in Message queue intersects with topics in Message broker and Queue management system.

He most often published in these fields:

  • Database (44.68%)
  • Computer network (23.40%)
  • Data stream management system (19.15%)

What were the highlights of his more recent work (between 2009-2018)?

  • Complex event processing (17.02%)
  • Event data (10.64%)
  • Extensibility (6.38%)

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

Shailendra Mishra mainly focuses on Complex event processing, Event data, Extensibility, Web page and World Wide Web. His Complex event processing study combines topics from a wide range of disciplines, such as Real-time computing, Event based and Event stream. His Extensibility research incorporates themes from Data type, Compiler, Database and Extension.

His Extension research includes themes of Set, Complex data type and Extension language. His study in Web page is interdisciplinary in nature, drawing from both Relation, The Internet, Cloud computing, Behavioral analytics and Natural language. His World Wide Web study frequently draws connections between related disciplines such as Virtual database.

Between 2009 and 2018, his most popular works were:

  • Extensible indexing framework using data cartridges (52 citations)
  • Publisher flow control and bounded guaranteed delivery for message queues (44 citations)
  • Methods and systems for querying event streams using multiple event processors (41 citations)

Best Publications

  • Techniques for matching a certain class of regular expression-based patterns in data streams

    Anand Srinivasan;Rakesh Komuravelli;Namit Jain;Shailendra Mishra

  • Processing XML data stream(s) using continuous queries in a data stream management system

    Zhen Hua Liu;Shailendra K. Mishra;Muralidhar Krishnaprasad

  • Adding new continuous queries to a data stream management system operating on existing queries

    Namit Jain;Anand Srinivasan;Shailendra Kumar Mishra

  • Methods and systems for asynchronous notification of database events

    Shailendra K. Mishra;Lakshminarayanan Chidambaran

  • Support for user defined functions in a data stream management system

    Anand Srinivasan;Namit Jain;Shailendra Kumar Mishra

  • Standardized database connectivity support for an event processing server

    Mohit Thatte;Sandeep Bishnoi;Namit Jain;Anand Srinivasan

  • Framework for dynamically generating tuple and page classes

    Hoyong Park;Namit Jain;Anand Srinivasan;Shailendra Mishra

  • Dynamically sharing a subtree of operators in a data stream management system operating on existing queries

    Namit Jain;Anand Srinivasan;Shailendra Kumar Mishra

  • Buffered message queue architecture for database management systems with memory optimizations and "zero copy" buffered message queue

    Namit Jain;Neerja Bhatt;Kapil Surlaker;Krishnan Meiyyappan

  • Handling Silent Relations In A Data Stream Management System

    Namit Jain;Anand Srinivasan;Shailendra Kumar Mishra

  • Method to create a partition-by time/tuple-based window in an event processing service

    Hoyong Park;Namit Jain;Anand Srinivasan;Shailendra Mishra

  • Support for sharing computation between aggregations in a data stream management system

    Anand Srinivasan;Namit Jain;Shailendra Kumar Mishra

  • Support for user defined aggregations in a data stream management system

    Anand Srinivasan;Namit Jain;Shailendra Kumar Mishra

  • Standardized database connectivity support for an event processing server in an embedded context

    Mohit Thatte;Sandeep Bishnoi;Namit Jain;Anand Srinivasan

  • Method and apparatus to facilitate access and propagation of messages in communication queues using a public network

    Bhagat V. Nainani;Neerja Bhatt;Shailendra K. Mishra;Krishnan Meiyyappan

  • Infrastructure for spilling pages to a persistent store

    Hoyong Park;Namit Jain;Anand Srinivasan;Shailendra Mishra

  • Deleting a continuous query from a data stream management system continuing to operate on other queries

    Namit Jain;Anand Srinivasan;Shailendra Kumar Mishra

  • Log visualization tool for a data stream processing server

    Hoyong Park;Rakesh Komuravelli;Namit Jain;Anand Srinivasan

  • Extensible indexing framework using data cartridges

    Alexandre de Castro Alves;Unmesh Deshmukh;Hoyong Park;Shailendra Mishra

  • Logging framework for a data stream processing server

    Hoyong Park;Parul Jain;Namit Jain;Anand Srinivasan

Frequent Co-Authors

Namit Jain
Namit Jain Business International Corporation
Anand Srinivasan
Anand Srinivasan Business International Corporation
Muralidhar Krishnaprasad
Muralidhar Krishnaprasad Salesforce (United States)

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