H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 33 Citations 5,575 90 World Ranking 6751 National Ranking 13

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Database

Visualization, Geovisualization, Data science, Geospatial analysis and Geographic information system are his primary areas of study. His Visualization research is multidisciplinary, incorporating elements of Representation, Visual programming language and Database. His research in Geovisualization intersects with topics in Geospatial predictive modeling, Geographic information systems in geospatial intelligence and Knowledge extraction.

His Data science study combines topics from a wide range of disciplines, such as Control, Metadata and Citation. His Geospatial analysis research includes themes of World Wide Web, Data visualization and Cyberinfrastructure. His Geographic information system study deals with Propagation of uncertainty intersecting with Data mining.

His most cited work include:

  • Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know (392 citations)
  • Geospatial Cyberinfrastructure: Past, present and future (272 citations)
  • Geovisualization for knowledge construction and decision support (175 citations)

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

Mark Gahegan spends much of his time researching Data science, Visualization, World Wide Web, Data mining and Geographic information system. Mark Gahegan interconnects Ontology, Geovisualization and Knowledge representation and reasoning in the investigation of issues within Data science. Mark Gahegan has included themes like Decision support system, The Internet and Usability in his Geovisualization study.

Visualization is a subfield of Artificial intelligence that Mark Gahegan investigates. The various areas that Mark Gahegan examines in his Geographic information system study include Data modeling, Table and Geospatial analysis. His studies in Geospatial analysis integrate themes in fields like Data visualization and Semantic interoperability.

He most often published in these fields:

  • Data science (38.83%)
  • Visualization (18.45%)
  • World Wide Web (17.48%)

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

  • Data science (38.83%)
  • World Wide Web (17.48%)
  • Semantics (6.80%)

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

Mark Gahegan focuses on Data science, World Wide Web, Semantics, Metadata and Geographic information system. His Data science study incorporates themes from Data modeling, Ontology and Workflow. His work in the fields of World Wide Web, such as Web science, overlaps with other areas such as Publishing, Reuse, Systems research and Observatory.

His Semantics research includes elements of Programming language, Cognitive science and Data model. His Metadata research includes themes of Control and Data citation, Citation. Geographic information system is closely attributed to Knowledge transfer in his research.

Between 2011 and 2021, his most popular works were:

  • Biodiversity data should be published, cited, and peer reviewed (145 citations)
  • Visual Semiotics a Uncertainty Visualization: An Empirical Study (145 citations)
  • Frankenplace: Interactive Thematic Mapping for Ad Hoc Exploratory Search (38 citations)

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

  • Artificial intelligence
  • Machine learning
  • Database

His primary areas of study are Data science, Metadata, Geographic information system, Visual analytics and Citation. When carried out as part of a general Data science research project, his work on Volunteered geographic information is frequently linked to work in Chronotope, therefore connecting diverse disciplines of study. He interconnects Cognitive science, Relation and Data model in the investigation of issues within Metadata.

His studies deal with areas such as Data modeling, Semantics and Subject as well as Geographic information system. Visualization and Artificial intelligence are all intrinsically tied to his study in Visual analytics. The Data citation research he does as part of his general Citation study is frequently linked to other disciplines of science, such as Technical peer review and Data quality, therefore creating a link between diverse domains of science.

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

Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know

Alan M. MacEachren;Anthony Robinson;Susan Hopper;Steven Gardner.
Cartography and Geographic Information Science (2005)

658 Citations

Geospatial Cyberinfrastructure: Past, present and future

Chaowei Phil Yang;Robert Raskin;Michael F. Goodchild;Mark Gahegan.
Computers, Environment and Urban Systems (2010)

397 Citations

Geovisualization for knowledge construction and decision support

A.M. MacEachren;M. Gahegan;W. Pike;I. Brewer.
IEEE Computer Graphics and Applications (2004)

317 Citations

A Typology for Visualizing Uncertainty

Judi R. Thomson;Elizabeth G. Hetzler;Alan MacEachren;Mark N. Gahegan.
visualization and data analysis (2005)

274 Citations

GeoVISTA studio: a codeless visual programming environment for geoscientific data analysis and visualization

Masahiro Takatsuka;Mark Gahegan.
Computers & Geosciences (2002)

263 Citations

Visual Semiotics a Uncertainty Visualization: An Empirical Study

A. M. MacEachren;R. E. Roth;J. O'Brien;B. Li.
IEEE Transactions on Visualization and Computer Graphics (2012)

238 Citations

Multivariate Analysis and Geovisualization with an Integrated Geographic Knowledge Discovery Approach

Diansheng Guo;Mark Gahegan;Alan M. MacEachren;Biliang Zhou.
Cartography and Geographic Information Science (2005)

216 Citations

Biodiversity data should be published, cited, and peer reviewed

Mark J. Costello;William K. Michener;Mark Gahegan;Zhi-Qiang Zhang.
Trends in Ecology and Evolution (2013)

213 Citations

The Integration of Geographic Visualization with Knowledge Discovery in Databases and Geocomputation

Mark Gahegan;Monica Wachowicz;Mark Harrower;Theresa-Marie Rhyne.
Cartography and Geographic Information Science (2001)

165 Citations

Introducing GeoVISTA Studio: an integrated suite of visualization and computational methods for exploration and knowledge construction in geography

Mark Gahegan;Masahiro Takatsuka;Mike Wheeler;Frank Hardisty.
Computers, Environment and Urban Systems (2002)

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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