What is he best known for?
The fields of study he is best known for:
- Law
- Artificial intelligence
- China
Abbas Rajabifard mainly investigates Spatial analysis, Spatial data infrastructure, Data science, Land administration and Government.
His Spatial analysis study integrates concerns from other disciplines, such as Process and Knowledge management.
His Spatial data infrastructure research includes themes of Viewpoints, Conceptual model, Process management and Sustainable development.
His Data science research also works with subjects such as
- Perspective and Social system most often made with reference to Hierarchy,
- Regional science, which have a strong connection to Information and Communications Technology.
His study in Land administration is interdisciplinary in nature, drawing from both Environmental studies, Land development, Cadastre, Public administration and Building information modeling.
His Government study combines topics in areas such as Politics and Environmental planning.
His most cited work include:
- Land Administration for Sustainable Development (234 citations)
- Assessing the worldwide developments of national spatial data clearinghouses (196 citations)
- Developing Spatial Data Infrastructures: From Concept to Reality (193 citations)
What are the main themes of his work throughout his whole career to date?
Abbas Rajabifard mostly deals with Spatial data infrastructure, Spatial analysis, Land administration, Cadastre and Data science.
His Spatial data infrastructure study combines topics from a wide range of disciplines, such as Database, World Wide Web, Process management and Sustainable development.
His World Wide Web research includes elements of License and Creative commons.
The study incorporates disciplines such as Government, Emergency management, Process and Knowledge management in addition to Spatial analysis.
His biological study spans a wide range of topics, including Environmental studies, Land management, Environmental resource management and Public administration.
His research investigates the connection with Cadastre and areas like Information system which intersect with concerns in Building information modeling.
He most often published in these fields:
- Spatial data infrastructure (22.02%)
- Spatial analysis (21.12%)
- Land administration (19.78%)
What were the highlights of his more recent work (between 2016-2021)?
- Cadastre (16.85%)
- Land administration (19.78%)
- Data science (12.81%)
In recent papers he was focusing on the following fields of study:
Abbas Rajabifard mainly investigates Cadastre, Land administration, Data science, Information system and Building information modeling.
He focuses mostly in the field of Cadastre, narrowing it down to topics relating to Plan and, in certain cases, Engineering management.
His Land administration research is within the category of Environmental planning.
The various areas that Abbas Rajabifard examines in his Data science study include Spatial analysis, Usability, Process and Geospatial analysis.
His Spatial analysis research integrates issues from Transport engineering and Walkability.
The concepts of his Building information modeling study are interwoven with issues in Architectural engineering, Occupancy, CityGML, Emergency management and Subdivision.
Between 2016 and 2021, his most popular works were:
- Sustainable development and geospatial information: a strategic framework for integrating a global policy agenda into national geospatial capabilities (52 citations)
- Event relatedness assessment of Twitter messages for emergency response (46 citations)
- Building Information Modelling for High‐rise Land Administration (36 citations)
In his most recent research, the most cited papers focused on:
- Law
- Artificial intelligence
- China
The scientist’s investigation covers issues in Information system, Building information modeling, Cadastre, Data science and Spatial analysis.
His Information system research is multidisciplinary, relying on both Point of interest, Spatial data quality and Volunteered geographic information.
His work deals with themes such as Data validation, Building design, Construction engineering and Plan, which intersect with Cadastre.
His Data science research incorporates elements of Quality, Spatial data mining and Usability.
His Spatial analysis study incorporates themes from Data integration and Land administration.
He has researched Land administration in several fields, including Regional science, Boundary and High rise.
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