D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 50 Citations 5,184 209 World Ranking 3762 National Ranking 1916

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Database
  • Programming language

His main research concerns Data mining, Metadata, Inference, Correctness and Database. His Data mining study combines topics in areas such as Event, Chaotic, Set and Cohort. His Cohort research incorporates elements of Computer program, Framingham Risk Score and Optimal control.

His work on Metadata repository is typically connected to Data source as part of general Metadata study, connecting several disciplines of science. His studies examine the connections between Correctness and genetics, as well as such issues in Reliability, with regards to Information retrieval, Key and Identification. As part of one scientific family, Robert R. Friedlander deals mainly with the area of Database, narrowing it down to issues related to the Value, and often Event based.

His most cited work include:

  • Context-based search for a data store related to a graph node (113 citations)
  • Methods for Associating Records in Healthcare Databases with Individuals (107 citations)
  • System and method for optimizing federated and ETL'd databases having multidimensionally constrained data (88 citations)

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

Robert R. Friedlander spends much of his time researching Computer program, Data mining, Set, Database and Information retrieval. Robert R. Friedlander has researched Computer program in several fields, including Object, Event, Context based and Product. His Data mining research includes themes of Event, Metadata, Inference and Cohort.

His Metadata research focuses on Key and how it relates to View. His work in Inference covers topics such as Correctness which are related to areas like Reliability. His Set study combines topics from a wide range of disciplines, such as Real-time computing and Information technology.

He most often published in these fields:

  • Computer program (40.08%)
  • Data mining (35.02%)
  • Set (30.38%)

What were the highlights of his more recent work (between 2013-2017)?

  • Computer program (40.08%)
  • Object (11.39%)
  • Set (30.38%)

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

Robert R. Friedlander mainly focuses on Computer program, Object, Set, Information retrieval and Database. His Computer program study combines topics in areas such as Context based, Context object and Product. His work carried out in the field of Set brings together such families of science as Event, Event and Computation.

His Information retrieval research incorporates elements of Digital sensors, Descriptive statistics and Data structure. His Database research is multidisciplinary, incorporating elements of Virtual memory, Statistics, Memory map and Confidence score. His biological study spans a wide range of topics, including Object model and Data mining, Database design.

Between 2013 and 2017, 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
  • Programming language
  • Database

Robert R. Friedlander spends much of his time researching Computer program, Object, Database, Object model and Method. His research integrates issues of Installation, Distributed computing, Resource and Set in his study of Computer program. He combines Set and Product in his studies.

Database and Weighted score are two areas of study in which he engages in interdisciplinary research. His study explores the link between Object model and topics such as Object-oriented design that cross with problems in Product, Context model, Data mining and Dimension. His Method research incorporates themes from Disparate system and Information retrieval.

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

Context-based search for a data store related to a graph node

Samuel S. Adams;Robert R. Friedlander;John K. Gerken;James R. Kraemer.
(2012)

208 Citations

Context-based search for a data store related to a graph node

Adams Samuel S;Friedlander Robert R;Gerken John K;Kraemer James R.
(2012)

192 Citations

Methods for Associating Records in Healthcare Databases with Individuals

Robert R. Friedlander;Anwer M. Khan.
(2004)

166 Citations

Methods for Associating Records in Healthcare Databases with Individuals

Robert R. Friedlander;Anwer M. Khan.
(2004)

162 Citations

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.
(2007)

143 Citations

System and method for optimizing federated and ETL'd databases having multidimensionally constrained data

Robert R. Friedlander;Richard Hennessy;James R. Kraemer.
(2006)

110 Citations

System and method for optimizing federated and ETL'd databases having multidimensionally constrained data

Friedlander Robert R;Richard Hennessy;Kraemer James R.
(2006)

109 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

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

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

104 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)

101 Citations

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