World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
6568
World Ranking
11552
National Ranking
727

Overview

Robert S. Laramee is affiliated with the University of Nottingham in the United Kingdom. Their research focuses primarily on the field of computer science, with a strong emphasis on computer vision and pattern recognition as well as artificial intelligence. Other areas of study include sociology and political science, signal processing, and information systems and management.

The main topics covered in their work include data visualization and analytics, video analysis and summarization, data analysis with R, multimedia communication and technology, scientific computing and data management, digital humanities and scholarship, and image retrieval and classification techniques.

Frequent co-authors of Robert S. Laramee include:

  • Elif E. Fırat
  • Qiru Wang
  • Benjamin Bach
  • Alfie Abdul-Rahman
  • Petra Isenberg

They have published extensively in several venues, with regular contributions to:

  • IEEE Transactions on Visualization and Computer Graphics
  • arXiv (Cornell University)
  • Information Visualization
  • Visual Informatics
  • Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences

Their recent papers include:

  • "Interactive visualization literacy: The state-of-the-art", 2022, Information Visualization
  • "VIS30K: A Collection of Figures and Tables From IEEE Visualization Conference Publications", 2021, IEEE Transactions on Visualization and Computer Graphics
  • "Challenges and Opportunities in Data Visualization Education: A Call to Action", 2023, IEEE Transactions on Visualization and Computer Graphics
  • "RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses", 2022, Epidemics
  • "Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations", 2022, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences

Best Publications

  • The State of the Art in Flow Visualisation: Feature Extraction and Tracking

    Frits H. Post;Benjamin Vrolijk;Helwig Hauser;Robert S. Laramee

  • The State of the Art in Flow Visualization : Dense and Texture-Based Techniques

    Robert S. Laramee;Helwig Hauser;Helmut Doleisch;Benjamin Vrolijk

  • Data, Information, and Knowledge in Visualization

    Min Chen;D. Ebert;H. Hagen;R.S. Laramee

  • Over Two Decades of Integration-Based, Geometric Flow Visualization

    Tony McLoughlin;Robert S. Laramee;Ronald Peikert;Frits H. Post

  • Glyph-based Visualization: Foundations, Design Guidelines, Techniques and Applications

    Rita Borgo;Johannes Kehrer;David H. S. Chung;Eamonn Maguire

  • Topology-Based Flow Visualization, The State of the Art

    Robert S. Laramee;Helwig Hauser;Lingxiao Zhao;Frits H. Post

  • Feature Extraction and Visualisation of Flow Fields

    Frits H. Post;Benjamin Vrolijk;Helwig Hauser;Robert S. Laramee

  • Vector Field Editing and Periodic Orbit Extraction Using Morse Decomposition

    Guoning Chen;K. Mischaikow;R.S. Laramee;P. Pilarczyk

  • Image space based visualization of unsteady flow on surfaces

    R.S. Laramee;B. Jobard;H. Hauser

  • Storytelling and Visualization: An Extended Survey

    Chao Tong;Richard C. Roberts;Rita Borgo;Sean P. Walton

  • Uncertainty Visualization Methods in Isosurface Rendering

    Philip J. Rhodes;Robert S. Laramee;R. Daniel Bergeron;Ted M. Sparr

  • Rivalry and interference with a head-mounted display

    Robert S Laramee;Colin Ware

  • Evenly Spaced Streamlines for Surfaces: An Image-Based Approach

    Benjamin Spencer;Robert S. Laramee;Guoning Chen;Eugene Zhang

  • Investigating Swirl and Tumble Flow with a Comparison of Visualization Techniques

    Robert S. Laramee;Daniel Weiskopf;Jurgen Schneider;Helwig Hauser

  • Efficient Morse Decompositions of Vector Fields

    Guoning Chen;K. Mischaikow;R.S. Laramee;E. Zhang

  • Survey of Surveys SoS - Mapping The Landscape of Survey Papers in Information Visualization

    Liam McNabb;Robert S. Laramee

  • Similarity Measures for Enhancing Interactive Streamline Seeding

    T. McLoughlin;M. W. Jones;R. S. Laramee;R. Malki

  • Visual analysis and exploration of fluid flow in a cooling jacket

    R.S. Laramee;C. Garth;H. Doleisch;J. Schneider

  • Technical Section: Surface-based flow visualization

    Matt Edmunds;Robert S. Laramee;Guoning Chen;Nelson Max

  • Angular Histograms: Frequency-Based Visualizations for Large, High Dimensional Data

    Zhao Geng;ZhenMin Peng;R. S. Laramee;R. Walker

  • Visualization for the Physical Sciences

    Dan R. Lipşa;Robert S. Laramee;Simon J. Cox;Jonathan C. Roberts

Frequent Co-Authors

Helwig Hauser
Helwig Hauser University of Bergen
Min Chen
Min Chen University of Oxford
Frits H. Post
Frits H. Post Delft University of Technology
Michael Sedlmair
Michael Sedlmair University of Stuttgart
Han-Wei Shen
Han-Wei Shen The Ohio State University
Tobias Isenberg
Tobias Isenberg French Institute for Research in Computer Science and Automation - INRIA
Torsten Möller
Torsten Möller University of Vienna
Nelson Max
Nelson Max University of California, Davis
Petra Isenberg
Petra Isenberg French Institute for Research in Computer Science and Automation - INRIA
Sebastiano Battiato
Sebastiano Battiato University of Catania

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