D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 47 Citations 4,615 150 World Ranking 3260 National Ranking 1694

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

System and Method for Semantic Normalization of Healthcare Data to Support Derivation Conformed Dimensions to Support Static and Aggregate Valuation Across Heterogeneous Data Sources

Robert R. Friedlander;Richard A. Hennessy;James R. Kraemer.
(2007)

118 Citations

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.
(2007)

104 Citations

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

Robert Lee Angell;Robert R. Friedlander;James R. Kraemer.
(2008)

100 Citations

Generating Generalized Risk Cohorts

Robert Lee Angell;Robert R. Friedlander;James R. Kraemer.
(2008)

99 Citations

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

Robert R. Friedlander;Richard A. Hennessy;James R. Kraemer.
(2007)

98 Citations

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.
(2007)

98 Citations

System and method to optimize control cohorts using clustering algorithms

Robert R. Friedlander;Richard A. Hennessy;James R. Kraemer;John Baxter Rollins.
(2006)

98 Citations

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

Robert R. Friedlander;Richard A. Hennessy;James R. Kraemer.
(2007)

95 Citations

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.
(2007)

94 Citations

Detecting behavioral deviations by measuring respiratory patterns in cohort groups

Robert Lee Angell;James R. Kraemer.
(2008)

94 Citations

Best Scientists Citing James R. Kraemer

Daniel C. Chung

Daniel C. Chung

Harvard University

Publications: 19

Robert R. Friedlander

Robert R. Friedlander

IBM (United States)

Publications: 19

Ivan Poupyrev

Ivan Poupyrev

Google (United States)

Publications: 17

Lyle W. Paczkowski

Lyle W. Paczkowski

Sprint (United States)

Publications: 9

Thomas R. Gruber

Thomas R. Gruber

Apple (United States)

Publications: 8

Robert Lee Angell

Robert Lee Angell

IBM (United States)

Publications: 8

Marc Davis

Marc Davis

Yahoo (United Kingdom)

Publications: 5

Christopher William Higgins

Christopher William Higgins

Yahoo (United Kingdom)

Publications: 5

James Park

James Park

Fitbit (United States)

Publications: 4

Junchi Yan

Junchi Yan

Shanghai Jiao Tong University

Publications: 4

Clifford A. Pickover

Clifford A. Pickover

IBM (United States)

Publications: 4

Dipanjan Chakraborty

Dipanjan Chakraborty

IBM (United States)

Publications: 3

Jerome R. Bellegarda

Jerome R. Bellegarda

Apple (United States)

Publications: 3

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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