World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
9026
World Ranking
7156
National Ranking
3135

Thomas E. Saulpaugh 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 Thomas E. Saulpaugh 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: 64 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.

Thomas E. Saulpaugh 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 Thomas E. Saulpaugh 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: 45 D-Index — 51st percentile

51% 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:

  • Operating system
  • Programming language
  • Computer network

His scientific interests lie mostly in Distributed Computing Environment, World Wide Web, XML, Service discovery and Computer network. His Distributed Computing Environment study which covers External Data Representation that intersects with Construct. He merges XML with Schema in his study.

His work in Service discovery covers topics such as Service delivery framework which are related to areas like Service provider. The various areas that Thomas E. Saulpaugh examines in his Computer network study include Software versioning, User interface, Distributed computing and Heap. His work investigates the relationship between Service level requirement and topics such as Credential that intersect with problems in Internet privacy and Concatenated SMS.

His most cited work include:

  • Mechanism and apparatus for using messages to look up documents stored in spaces in a distributed computing environment (457 citations)
  • System and method for migrating processes on a network (189 citations)
  • Message gates in a distributed computing environment (135 citations)

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

His main research concerns Distributed Computing Environment, Computer network, Database, Distributed computing and World Wide Web. His research in Distributed Computing Environment intersects with topics in Computer security, XML, External Data Representation and Service. In general Computer network study, his work on Credential, Construct and Routing domain often relates to the realm of Address bus, thereby connecting several areas of interest.

He has included themes like Heap, User interface, DCE/RPC and Cache in his Distributed computing study. His study looks at the relationship between World Wide Web and fields such as Interface, as well as how they intersect with chemical problems. His studies in Database design integrate themes in fields like Programming language and Serialization.

He most often published in these fields:

  • Distributed Computing Environment (28.05%)
  • Computer network (25.61%)
  • Database (21.95%)

What were the highlights of his more recent work (between 2000-2011)?

  • Distributed Computing Environment (28.05%)
  • Computer network (25.61%)
  • Distributed computing (15.85%)

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

His primary scientific interests are in Distributed Computing Environment, Computer network, Distributed computing, Schema and Heap. His Distributed Computing Environment research is multidisciplinary, incorporating perspectives in External Data Representation, Distributed object, Computer security, World Wide Web and Service delivery framework. His research integrates issues of Message authentication code and Publish–subscribe pattern in his study of World Wide Web.

His Computer network study integrates concerns from other disciplines, such as Internetwork protocol, Internet Protocol and Internet protocol suite. His study in Distributed computing is interdisciplinary in nature, drawing from both Routing domain, Routing table, Hierarchical routing, Static routing and Routing protocol. The concepts of his Heap study are interwoven with issues in Virtual machine, Operating system and Cache.

Between 2000 and 2011, his most popular works were:

  • System and method for migrating processes on a network (189 citations)
  • Message gates in a distributed computing environment (135 citations)
  • Message-based leasing of resources in a distributed computing environment (123 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Programming language
  • Computer network

Thomas E. Saulpaugh mostly deals with Distributed Computing Environment, Computer network, Computer security, Cache and Heap. His research is interdisciplinary, bridging the disciplines of XML and Distributed Computing Environment. The study incorporates disciplines such as Software versioning, User interface and Distributed computing in addition to Computer network.

His Computer security research incorporates themes from Message switching, Publish–subscribe pattern and Concatenated SMS. In general Cache, his work in CPU cache is often linked to Smart Cache and Double-ended priority queue linking many areas of study. Thomas E. Saulpaugh integrates several fields in his works, including Heap and d-ary heap.

Best Publications

  • Advertisements for peer-to-peer computing resources

    Bernard A. Traversat;Li Gong;Kuldipsingh Pabla;William J. Yeager

  • Mechanism and apparatus for using messages to look up documents stored in spaces in a distributed computing environment

    Gregory L. Slaughter;Thomas E. Saulpaugh;Bernard A. Traversat;Mohamed M. Abdelaziz

  • System and method for migrating processes on a network

    Gregory L. Slaughter;Thomas E. Saulpaugh;Robert Rodriquez

  • An intelligent object-oriented configuration database serializer

    Thomas E. Saulpaugh;Gregory L. Slaughter;Bernard A. Traversat

  • Method and apparatus to discover services using flexible search criteria

    Thomas E. Saulpaugh;Gregory L. Slaughter

  • Message-based leasing of resources in a distributed computing environment

    Gregory L. Slaughter;Thomas E. Saulpaugh;Bernard A. Traversat;Michael J. Duigou

  • Message gates in a distributed computing environment

    Gregory L. Slaughter;Thomas E. Saulpaugh;Bernard A. Traversat;Mohamed M. Abdelaziz

  • Transformation of objects between a computer programming language and a data representation language

    Thomas E. Saulpaugh;Gregory L. Slaughter;Bernard A. Traversat;Michael J. Duigou

  • Bridging between a data representation language message-based distributed computing environment and other computing environments using proxy service

    Gregory L. Slaughter;Thomas E. Saulpaugh;Bernard A. Traversat;Mohamed M. Abdelaziz

  • Method and apparatus for proximity discovery of services

    Gregory L. Slaughter;Thomas E. Saulpaugh;Bernard A. Traversat;Michael J. Duigou

  • Caching mechanism for a virtual heap

    Bernard A. Traversat;Michael J. Duigou;Thomas E. Saulpaugh;Gregory L. Slaughter

  • Client-specified display services in a distributed computing environment

    Gregory L. Slaughter;Thomas E. Saulpaugh;Michael J. Duigou

  • Trusted construction of message endpoints in a distributed computing environment

    Thomas E. Saulpaugh;Gregory L. Slaughter;Bernard A. Traversat;Eric Pouyoul

  • Mechanism and apparatus for web-based searching of URI-addressable repositories in a distributed computing environment

    Gregory L. Slaughter;Thomas E. Saulpaugh;Bernard A. Traversat;Mohamed M. Abdelaziz

  • Method of transaction handling in distributed configuration database

    Bernard A Traversat;Thomas Saulpaugh;Jeffrey A Schmidt;Gregory L Slaughter

  • Spawning new repository spaces using information provided in advertisement schema messages

    Gregory L. Slaughter;Thomas E. Saulpaugh;Bernard A. Traversat;Mohamed M. Abdelaziz

  • Mechanism and apparatus for URI-addressable repositories of service advertisements and other content in a distributed computing environment

    Gregory L. Slaughter;Thomas E. Saulpaugh;Bernard A. Traversat;Michael J. Duigou

  • Addressing message gates in a distributed computing environment

    Thomas E. Saulpaugh;Gregory L. Slaughter;Eric Pouyoul

  • Method and apparatus to discover services and negotiate capabilities

    Gregory L. Slaughter;Thomas E. Saulpaugh;Mohamed M. Abdelaziz;Bernard A. Traversat

  • Garbage collection using nursery regions for new objects in a virtual heap

    Bernard A. Traversat;Michael J. Duigou;Thomas E. Saulpaugh;Gregory L. Slaughter

  • Efficient construction of message endpoints

    Thomas E. Saulpaugh;Gregory L. Slaughter;Eric Pouyoul

Frequent Co-Authors

Gregory L. Slaughter
Gregory L. Slaughter Oracle (United States)
Bernard A. Traversat
Bernard A. Traversat Oracle (United States)

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 related degrees and expanding career options, many of which can be pursued online. For students balancing work, location, or budget constraints, online programs in STEM fields offer flexibility and accessibility.

For example, students interested in engineering concepts might consider programs where the mechanical engineering cost of education is both affordable and transparent. Similarly, backgrounds in science are strengthened by completing an online physics degree which can build strong analytical and problem-solving skills.

Tech-forward students focused on data can search for what is the cheapest data science course in the us? to begin a career in one of today’s fastest-growing fields. Those drawn to innovation in electronics and power systems may find their academic fit by reviewing electrical engineering degree online admissions options.

Each of these pathways complements computer science study and opens specialized roles in research, industry, and technology sectors.

Best Scientists Citing Thomas E. Saulpaugh

Recently Published Articles