H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 34 Citations 6,664 214 World Ranking 3681 National Ranking 21

Research.com Recognitions

Awards & Achievements

Member of the Norwegian Academy of Science and Letters Technology

Overview

What is he best known for?

The fields of study he is best known for:

  • The Internet
  • Artificial intelligence
  • Database

John Krogstie mainly investigates Knowledge management, Quality, Big data, Management science and Process modeling. John Krogstie is studying Enterprise modelling, which is a component of Knowledge management. His research integrates issues of Model-based design, Software requirements specification and Systems engineering in his study of Quality.

His Big data study combines topics from a wide range of disciplines, such as Survey data collection, Dynamic capabilities and Data science. John Krogstie has researched Management science in several fields, including Urban density, Urban planning, Knowledge quality and Sustainable urbanism. The Process modeling study combines topics in areas such as Business Process Model and Notation, Business process modeling, Information engineering and Software engineering.

His most cited work include:

  • Smart sustainable cities of the future: An extensive interdisciplinary literature review (415 citations)
  • Process models representing knowledge for action: a revised quality framework (287 citations)
  • Enterprise, Business-Process and Information Systems Modeling (214 citations)

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

John Krogstie spends much of his time researching Knowledge management, Data science, Process modeling, Enterprise modelling and Big data. John Krogstie integrates many fields, such as Knowledge management and Norwegian, in his works. His Process modeling research is multidisciplinary, incorporating perspectives in Business process, Business process modeling, Business rule, Management science and Software engineering.

His study looks at the relationship between Business process modeling and fields such as Process management, as well as how they intersect with chemical problems. His study in Big data is interdisciplinary in nature, drawing from both Analytics, Resource-based view, Dynamic capabilities and Sustainable urbanism. His Enterprise integration study combines topics in areas such as Enterprise information system and Integrated enterprise modeling.

He most often published in these fields:

  • Knowledge management (25.56%)
  • Data science (13.33%)
  • Process modeling (12.78%)

What were the highlights of his more recent work (between 2016-2021)?

  • Big data (10.83%)
  • Data science (13.33%)
  • Knowledge management (25.56%)

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

The scientist’s investigation covers issues in Big data, Data science, Knowledge management, Analytics and Smart city. His Big data research is multidisciplinary, incorporating elements of Survey data collection, Resource-based view, Dynamic capabilities and Sustainable urbanism. His work deals with themes such as Strategic planning and Urban planning, which intersect with Sustainable urbanism.

John Krogstie interconnects Backcasting, Management science and Land use in the investigation of issues within Urban planning. John Krogstie connects Knowledge management with Norwegian in his research. His Information and Communications Technology research includes themes of Telecommunications and Orchestration.

Between 2016 and 2021, his most popular works were:

  • Smart sustainable cities of the future: An extensive interdisciplinary literature review (415 citations)
  • Big data analytics capabilities: a systematic literature review and research agenda (166 citations)
  • On the Social Shaping Dimensions of Smart Sustainable Cities: A Study in Science, Technology, and Society (118 citations)

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

  • The Internet
  • Artificial intelligence
  • Database

John Krogstie mostly deals with Big data, Data science, Urban planning, Knowledge management and Analytics. His research in Big data intersects with topics in Survey data collection, Resource-based view and Dynamic capabilities. His work carried out in the field of Urban planning brings together such families of science as Sustainable urbanism and Environmental planning.

His Sustainable urbanism study incorporates themes from Management science, Sustainable city, Strategic planning, Urban density and Information and Communications Technology. His work in Enterprise modelling and Information management is related to Knowledge management. His Analytics research integrates issues from Business analytics, Relation, Urbanity and Exabyte.

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

Smart sustainable cities of the future: An extensive interdisciplinary literature review

Simon Elias Bibri;John Krogstie.
Sustainable Cities and Society (2017)

661 Citations

Process models representing knowledge for action: a revised quality framework

John Krogstie;Guttorm Sindre;Håvard Jørgensen.
European Journal of Information Systems (2006)

446 Citations

Big data analytics capabilities: a systematic literature review and research agenda

Patrick Mikalef;Ilias O. Pappas;John Krogstie;Michail Giannakos.
Information Systems and E-business Management (2018)

323 Citations

Enterprise, Business-Process and Information Systems Modeling

Terry Halpin;Selmin Nurcan;John Krogstie;Pnina Soffer.
(2009)

264 Citations

Mobile augmented reality for cultural heritage: A technology acceptance study

Anne-Cecilie Haugstvedt;John Krogstie.
international symposium on mixed and augmented reality (2012)

256 Citations

Defining quality aspects for conceptual models

John Krogstie;Odd Ivar Lindland;Guttorm Sindre.
Proceedings of the IFIP international working conference on Information system concepts: Towards a consolidation of views (1995)

228 Citations

Towards a Deeper Understanding of Quality in Requirements Engineering

John Krogstie;Odd Ivar Lindland;Guttorm Sindre.
conference on advanced information systems engineering (1995)

207 Citations

Active Knowledge Modeling of Enterprises

Frank Lillehagen;John Krogstie.
(2008)

182 Citations

On the Social Shaping Dimensions of Smart Sustainable Cities: A Study in Science, Technology, and Society

Simon Elias Bibri;John Krogstie.
Sustainable Cities and Society (2017)

180 Citations

Developing an instrument to measure the adoption of mobile services

Shang Gao;John Krogstie;Keng Siau.
Mobile Information Systems (2011)

149 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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