H-Index & Metrics Top Publications
Stuart E. Madnick

Stuart E. Madnick

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 40 Citations 7,867 221 World Ranking 4463 National Ranking 2222

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Database
  • Programming language

Stuart E. Madnick mainly investigates Information retrieval, Database, World Wide Web, Data mining and Disparate system. Stuart E. Madnick is interested in Semantic heterogeneity, which is a field of Information retrieval. Stuart E. Madnick has included themes like Interoperability and Management information systems in his Database study.

His work carried out in the field of World Wide Web brings together such families of science as Relational database and Cameleon. His Data mining study combines topics in areas such as Perspective, Information technology and Set. His Disparate system research is multidisciplinary, incorporating elements of Data transformation and Semantic interoperability.

His most cited work include:

  • Software Project Dynamics: An Integrated Approach (557 citations)
  • Context interchange: new features and formalisms for the intelligent integration of information (349 citations)
  • Overview and Framework for Data and Information Quality Research (293 citations)

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

His primary areas of study are Data science, Knowledge management, World Wide Web, Information retrieval and Database. His Data science research is multidisciplinary, incorporating perspectives in Metadata, Data integration, The Internet, Data quality and Bibliometrics. His research in Data quality intersects with topics in Information quality and Process.

His work investigates the relationship between Knowledge management and topics such as Mediation that intersect with problems in Interoperation. His Information retrieval study incorporates themes from Semantics and Data mining. His Database research is mostly focused on the topic Distributed database.

He most often published in these fields:

  • Data science (18.03%)
  • Knowledge management (13.30%)
  • World Wide Web (12.45%)

What were the highlights of his more recent work (between 2011-2021)?

  • Computer security (7.73%)
  • Data science (18.03%)
  • Industrial control system (1.50%)

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

Stuart E. Madnick focuses on Computer security, Data science, Industrial control system, Mobilization and System dynamics. His Computer security study combines topics from a wide range of disciplines, such as Control and Information technology. His Information technology research incorporates themes from Concept map, Software development, Disaster recovery, Business continuity and Physical security.

His research integrates issues of Quality and Bibliometrics in his study of Data science. Stuart E. Madnick has researched Industrial control system in several fields, including Variable, Circuit breaker and Information technology management. In his research, Process, Organizational learning and Knowledge management is intimately related to Service-oriented architecture, which falls under the overarching field of System dynamics.

Between 2011 and 2021, his most popular works were:

  • A Systems Theoretic Approach to the Security Threats in Cyber Physical Systems Applied to Stuxnet (87 citations)
  • A Cubic Framework for the Chief Data Officer: Succeeding in a World of Big Data (41 citations)
  • A Conceptual Model for Integrated Autonomous Processing: An International Bank's Experience With Large Databases (29 citations)

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

  • Operating system
  • Database
  • Programming language

Stuart E. Madnick mainly focuses on Computer security, Knowledge management, Information technology, Flexibility and Key. The study incorporates disciplines such as Control, Iterative and incremental development and Systems thinking in addition to Computer security. His Knowledge management research includes themes of Marketing and Risk management.

The Information technology study combines topics in areas such as Concept map, Business continuity, Software development and Disaster recovery. The various areas that Stuart E. Madnick examines in his Flexibility study include Variable and Industrial control system. His work deals with themes such as Risk analysis, Chassis, Sociotechnical system, Isolation and Security analysis, which intersect with Key.

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.

Top Publications

Software Project Dynamics: An Integrated Approach

Tarek Abdel-Hamid;Stuart E. Madnick.
(1991)

1265 Citations

Overview and Framework for Data and Information Quality Research

Stuart E. Madnick;Richard Y. Wang;Yang W. Lee;Hongwei Zhu.
Journal of Data and Information Quality (2009)

502 Citations

Context interchange: new features and formalisms for the intelligent integration of information

Cheng Hian Goh;Stéphane Bressan;Stuart Madnick;Michael Siegel.
ACM Transactions on Information Systems (1999)

440 Citations

Data quality requirements analysis and modeling

R.Y. Wang;H.B. Kon;S.E. Madnick.
(2011)

383 Citations

Data extraction from world wide web pages

Stuart E. Madnick;Michael D. Siegel.
(1996)

366 Citations

Representing and reasoning about semantic conflicts in heterogeneous information systems

Cheng Hian Goh;Stuart E. Madnick.
(1997)

298 Citations

Lessons learned from modeling the dynamics of software development

Tarek K Abdel-Hamid;Stuart E Madnick.
Communications of The ACM (1989)

256 Citations

The inter-database instance identification problem in integrating autonomous systems

J.R. Wang;S.E. Madnick.
international conference on data engineering (1989)

241 Citations

A Polygen Model for Heterogeneous Database Systems: The Source Tagging Perspective

Y. Richard Wang;Stuart E. Madnick.
very large data bases (1990)

230 Citations

A metadata approach to resolving semantic conflicts

Michael Siegel;Stuart E. Madnick.
(2011)

222 Citations

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

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