World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
4866
World Ranking
5727
National Ranking
2599

James R. Kraemer 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 James R. Kraemer 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: 198 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

James R. Kraemer 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 James R. Kraemer 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: 50 D-Index — 62nd percentile

62% 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
  • The Internet
  • Programming language

The scientist’s investigation covers issues in Data mining, Metadata, Inference, USable and Correctness. James R. Kraemer has included themes like Event, Chaotic, Set, Constraint and Cohort in his Data mining study. James R. Kraemer combines subjects such as Digital video, Real-time computing, World Wide Web and Customer identification with his study of Set.

His Cohort research incorporates themes from Computer program and Optimal control. His work in Metadata tackles topics such as Object which are related to areas like Pattern recognition and Video based. James R. Kraemer has researched Correctness in several fields, including Key, Information retrieval, Reliability and Database.

His most cited work include:

  • System and method to optimize control cohorts using clustering algorithms (87 citations)
  • System and method for deriving a hierarchical event based database optimized for analysis of biological systems (79 citations)
  • System and Method for Semantic Normalization of Healthcare Data to Support Derivation Conformed Dimensions to Support Static and Aggregate Valuation Across Heterogeneous Data Sources (78 citations)

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

James R. Kraemer spends much of his time researching Data mining, Computer program, Set, Database and Cohort. His research integrates issues of Event, Metadata, Inference and Information retrieval in his study of Data mining. His Metadata repository study in the realm of Metadata interacts with subjects such as USable.

His Inference course of study focuses on Correctness and Reliability. His Computer program research includes themes of Object, Event, Context based and Product. His work investigates the relationship between Set and topics such as Artificial intelligence that intersect with problems in Pattern recognition.

He most often published in these fields:

  • Data mining (33.79%)
  • Computer program (29.68%)
  • Set (28.31%)

What were the highlights of his more recent work (between 2013-2020)?

  • Computer program (29.68%)
  • Computer network (6.39%)
  • Set (28.31%)

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

His primary areas of study are Computer program, Computer network, Set, Computer security and Protocol. His Computer program research includes elements of Process, Virtual machine, Software and Resource. His Computer network research is multidisciplinary, incorporating perspectives in Database transaction and Distributed computing.

His studies in Set integrate themes in fields like Data mining, Event, Cognition, Event and Computation. His Data mining research focuses on subjects like Product, which are linked to Object. In his research, Metadata is intimately related to Digital sensors, which falls under the overarching field of Event.

Between 2013 and 2020, his most popular works were:

  • Electronic Messaging Display Optimization (49 citations)
  • Secure management of a smart card (40 citations)
  • Generating deportment and comportment cohorts (40 citations)

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

  • Operating system
  • The Internet
  • Computer network

His main research concerns Computer program, Computer network, Object, Set and Distributed computing. His Computer program research is multidisciplinary, incorporating elements of Payload, Chip and Exclusive or. The various areas that James R. Kraemer examines in his Computer network study include Decentralized computing and Download.

His Object-oriented design, Method and Object model study, which is part of a larger body of work in Object, is frequently linked to USable, bridging the gap between disciplines. His Object-oriented design study combines topics in areas such as Data mining, Context model and Product. In his study, James R. Kraemer carries out multidisciplinary Set and Product research.

Best Publications

  • System and method for a multiple disciplinary normalization of source for metadata integration with ETL processing layer of complex data across multiple claim engine sources in support of the creation of universal/enterprise healthcare claims record

    Robert R. Friedlander;Richard A. Hennessy;James R. Kraemer

  • Inference of anomalous behavior of members of cohorts and associate actors related to the anomalous behavior

    Robert R. Friedlander;James R. Kraemer

  • System and method to optimize control cohorts using clustering algorithms

    Robert R. Friedlander;Richard A. Hennessy;James R. Kraemer;John Baxter Rollins

  • System and method for deriving a hierarchical event based database having action triggers based on inferred probabilities

    Robert R. Friedlander;Richard A. Hennessy;James R. Kraemer

  • System and method for deriving a hierarchical event based database optimized for analysis of biological systems

    Robert R. Friedlander;Richard A. Hennessy;James R. Kraemer

  • Generating Generalized Risk Cohorts

    Robert Lee Angell;Robert R. Friedlander;James R. Kraemer

  • Automatic generation of new rules for processing synthetic events using computer-based learning processes

    Robert Lee Angell;Robert R. Friedlander;James R. Kraemer

  • System and method for deriving a hierarchical event based database optimized for pharmaceutical analysis

    Robert R. Friedlander;Richard A. Hennessy;James R. Kraemer

  • System and method for deriving a hierarchical event based database optimized for clinical applications

    Robert R. Friedlander;Richard A. Hennessy;James R. Kraemer

  • System and method for deriving a hierarchical event based database optimized for analysis of criminal and security information

    Robert R. Friedlander;Richard A. Hennessy;James R. Kraemer

  • Synthetic Events For Real Time Patient Analysis

    Robert Lee Angell;Robert R. Friedlander;James R. Kraemer

  • Directing a user to a medical resource

    Robert R. Friedlander;Richard Hennessy;James R. Kraemer

  • Detecting behavioral deviations by measuring respiratory patterns in cohort groups

    Robert Lee Angell;James R. Kraemer

  • System and method of accident investigation for complex situations involving numerous known and unknown factors along with their probabilistic weightings

    Robert R. Friedlander;Richard A. Hennessy;James R. Kraemer

  • System and method for deriving a hierarchical event based database optimized for privacy and security filtering

    Robert R. Friedlander;Richard A. Hennessy;James R. Kraemer

  • Generating customized marketing messages using automatically generated customer identification data

    Robert Lee Angell;James R. Kraemer

  • Detecting behavioral deviations by measuring eye movements

    Robert Lee Angell;James R. Kraemer

  • System and method for deriving a hierarchical event based database optimized for analysis of complex accidents

    Robert R. Friedlander;Richard A. Hennessy;James R. Kraemer

  • System and method for the longitudinal analysis of education outcomes using cohort life cycles, cluster analytics-based cohort analysis, and probablistic data schemas

    Robert R. Friedlander;Jay A. Goodwyn;James R. Kraemer;Anthony W. Young

  • Generating Cohorts Based on Attributes of Objects Identified Using Video Input

    Robert Lee Angell;Sergio Borger;Robert R. Friedlander;James R. Kraemer

Frequent Co-Authors

Robert R. Friedlander
Robert R. Friedlander IBM (United States)
Robert Lee Angell
Robert Lee Angell IBM (United States)
David Ungar
David Ungar Apple (United States)
Mark N. Wegman
Mark N. Wegman IBM (United States)

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