World's Best Scientists 2026 revealed!

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Computer Science

D-Index
62
Citations
14346
World Ranking
2923
National Ranking
1437

Research.com Recognitions

  • 2009 - ACM Senior Member
  • 2009 - IEEE Fellow For contributions to data visualization and its applications

Overview

David S. Ebert is affiliated with the University of Oklahoma in the United States. Their research spans multiple domains, primarily focusing on data visualization and analytics, with particular applications in various interdisciplinary fields.

The main topics covered in their work include:

  • Data Visualization and Analytics
  • Data-Driven Disease Surveillance
  • Remote Sensing in Agriculture
  • Human Mobility and Location-Based Analysis
  • Anomaly Detection Techniques and Applications
  • Misinformation and Its Impacts
  • Hydrocarbon Exploration and Reservoir Analysis

The scientist's publications have appeared frequently in significant venues such as:

  • Proceedings of the Annual Hawaii International Conference on System Sciences
  • Computing in Science & Engineering
  • IEEE Transactions on Computational Social Systems
  • IEEE Computer Graphics and Applications
  • arXiv (Cornell University)

Coauthorship has been an important part of their research output. Frequent collaborators include:

  • Riccardo Mariani
  • Jyotika Athavale
  • Hironori Washizaki
  • Grace A. Lewis
  • Forrest Shull

Among their recent papers are the following works:

  • "Integrating crop growth models with remote sensing for predicting biomass yield of sorghum," 2021, in silico Plants
  • "The Role of Interactive Visualization in Fostering Trust in AI," 2021, IEEE Computer Graphics and Applications
  • "A Visual Analytics Approach to Facilitate Crime Hotspot Analysis," 2020, Computer Graphics Forum
  • "Analyzing Worldwide Social Distancing through Large-Scale Computer Vision," 2020, arXiv (Cornell University)
  • "Visual Analytics for Decision-Making During Pandemics," 2020, Computing in Science & Engineering

Their research fields encompass multiple subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Epidemiology
  • Ecology
  • Sociology and Political Science

David S. Ebert has received recognition by professional organizations, including being awarded the ACM Senior Member status in 2009 and becoming an IEEE Fellow the same year for contributions related to data visualization and its applications.

Best Publications

  • Texturing and Modeling: A Procedural Approach

    David S. Ebert;F. Kenton Musgrave;Darwyn Peachey;Ken Perlin

  • Visualization and computer graphics

    David S. Ebert;Charles D. Hansen;Georges-Pierre Bonneau;L. A. B. Gravir

  • Volume illustration: nonphotorealistic rendering of volume models

    P. Rheingans;D. Ebert

  • Data, Information, and Knowledge in Visualization

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

  • The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation

    Fengqing Zhu;Marc Bosch;Insoo Woo;SungYe Kim

  • Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition

    Junghoon Chae;Dennis Thom;Harald Bosch;Yun Jang

  • Volume illustration: non-photorealistic rendering of volume models

    David Ebert;Penny Rheingans

  • Use of technology in children's dietary assessment.

    C. Boushey;Deborah Kerr;Janine Wright;K. Lutes

  • Rendering and animation of gaseous phenomena by combining fast volume and scanline A-buffer techniques

    D. S. Ebert;Richard E. Parent

  • Mass Media and the Contagion of Fear: The Case of Ebola in America.

    Sherry Towers;Shehzad Afzal;Gilbert Bernal;Nadya Bliss

  • Evidence-Based Development of a Mobile Telephone Food Record

    Bethany L. Six;TusaRebecca E. Schap;Fengqing M. Zhu;Anand Mariappan

  • Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models

    Jiawei Zhang;Yang Wang;Piero Molino;Lezhi Li

  • Special Section on Visual Analytics: Public behavior response analysis in disaster events utilizing visual analytics of microblog data

    Junghoon Chae;Dennis Thom;Yun Jang;Sungye Kim

  • A Survey of Procedural Noise Functions

    Ares Lagae;Sylvain Lefebvre;Robert L. Cook;Tony DeRose

  • A Visual Analytics Approach to Understanding Spatiotemporal Hotspots

    R. Maciejewski;S. Rudolph;R. Hafen;A. Abusalah

  • Texturing and Modeling

    David S. Ebert;Steven Worley;F. Kenton Musgrave;Darwyn Peachey

  • Novel technologies for assessing dietary intake: evaluating the usability of a mobile telephone food record among adults and adolescents.

    Bethany L Daugherty;TusaRebecca E Schap;Reynolette Ettienne-Gittens;Fengqing M Zhu

  • Non-photorealistic volume rendering using stippling techniques

    Aidong Lu;Christopher J. Morris;David S. Ebert;Penny Rheingans

  • Interactive translucent volume rendering and procedural modeling

    Joe Kniss;Simon Premoze;Charles Hansen;David Ebert

  • Visual analytics law enforcement tools

    David S. Ebert;Timothy Collins;Ross Maciejewski;Abish Malik

Frequent Co-Authors

Ross Maciejewski
Ross Maciejewski Arizona State University
Edward J. Delp
Edward J. Delp Purdue University West Lafayette
Niklas Elmqvist
Niklas Elmqvist University of Maryland, College Park
William S. Cleveland
William S. Cleveland Purdue University West Lafayette
Charles Hansen
Charles Hansen University of Utah
Thomas Ertl
Thomas Ertl University of Stuttgart
Hans Hagen
Hans Hagen Technical University of Kaiserslautern
Gerhard Klimeck
Gerhard Klimeck Purdue University West Lafayette
Min Chen
Min Chen South China University of Technology
Yung-Hsiang Lu
Yung-Hsiang Lu Purdue University West Lafayette

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