World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
3183
World Ranking
13767
National Ranking
5466

Shailendra Mishra publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Shailendra Mishra sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 38 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Shailendra Mishra D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Shailendra Mishra sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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