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.
