World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7492
World Ranking
8382
National Ranking
3590

Overview

Ross Maciejewski is affiliated with Arizona State University in the United States and specializes in the field of Computer Science. Their research contributions encompass a broad range of topics with a substantial focus on data visualization and analytics, advanced graph neural networks, and explainable artificial intelligence (XAI).

Their work spans several subfields, highlighting expertise particularly in Computer Vision and Pattern Recognition, Artificial Intelligence, and Information Systems, alongside contributions to Safety Research and Signal Processing.

Frequent subjects of investigation include:

  • Data Visualization and Analytics
  • Advanced Graph Neural Networks
  • Explainable Artificial Intelligence (XAI)
  • Ethics and Social Impacts of AI
  • Topological and Geometric Data Analysis
  • Geographic Information Systems Studies
  • Cell Image Analysis Techniques

Maciejewski has collaborated extensively with several coauthors, including Yuxin Ma, Hanghang Tong, Jingrui He, Tiankai Xie, and Arlen Fan.

Their research has been disseminated through numerous publication venues, most prominently through arXiv (Cornell University) with 21 publications, followed by IEEE Transactions on Visualization and Computer Graphics with 15 publications. Other venues include IEEE Computer Graphics and Applications, Sustainability, and the CHI Conference on Human Factors in Computing Systems.

Selected recent papers by Ross Maciejewski are as follows:

  • A Bibliometric Analysis of Food-Energy-Water Nexus Literature, 2020, Sustainability
  • A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes, 2020, IEEE Transactions on Visualization and Computer Graphics
  • Annotating Line Charts for Addressing Deception, 2022, CHI Conference on Human Factors in Computing Systems
  • Localized Topological Simplification of Scalar Data, 2020, IEEE Transactions on Visualization and Computer Graphics
  • FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models, 2021, IEEE Transactions on Visualization and Computer Graphics

Best Publications

  • Graph convolutional networks: a comprehensive review

    Si Zhang;Hanghang Tong;Jiejun Xu;Ross Maciejewski

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

    Junghoon Chae;Dennis Thom;Harald Bosch;Yun Jang

  • An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief

    Ghazaleh Beigi;Xia Hu;Ross Maciejewski;Huan Liu

  • Urban form and composition of street canyons: A human-centric big data and deep learning approach

    Ariane Middel;Jonas Lukasczyk;Sophie Zakrzewski;Michael Arnold

  • Sky View Factor footprints for urban climate modeling

    Ariane Middel;Ariane Middel;Jonas Lukasczyk;Ross Maciejewski;Matthias Demuzere

  • A Visual Analytics Approach to Understanding Spatiotemporal Hotspots

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

  • Visual analytics law enforcement tools

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

  • Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions

    Gennady Andrienko;Natalia Andrienko;Wei Chen;Ross Maciejewski

  • Structuring Feature Space: A Non-Parametric Method for Volumetric Transfer Function Generation

    R. Maciejewski;Insoo Woo;Wei Chen;D. Ebert

  • VAUD: A Visual Analysis Approach for Exploring Spatio-Temporal Urban Data

    Wei Chen;Zhaosong Huang;Feiran Wu;Minfeng Zhu

  • The State-of-the-Art in Predictive Visual Analytics

    Yafeng Lu;Rolando Garcia;Brett Hansen;Michael Gleicher

  • Sky view factors from synthetic fisheye photos for thermal comfort routing—A case study in Phoenix, Arizona

    Ariane Middel;Jonas Lukasczyk;Ross Maciejewski

  • Forecasting Hotspots—A Predictive Analytics Approach

    R Maciejewski;R Hafen;S Rudolph;S G Larew

  • Proactive spatiotemporal resource allocation and predictive visual analytics for community policing and law enforcement

    Abish Malik;Ross Maciejewski;Sherry Towers;Sean McCullough

  • Volume Estimation Using Food Specific Shape Templates in Mobile Image-Based Dietary Assessment.

    Junghoon Chae;Insoo Woo;Sung Ye Kim;Ross Maciejewski

  • Visualizing Social Media Sentiment in Disaster Scenarios

    Yafeng Lu;Xia Hu;Feng Wang;Shamanth Kumar

  • Visual analytics decision support environment for epidemic modeling and response evaluation

    Shehzad Afzal;Ross Maciejewski;David S. Ebert

  • Stakeholder Analysis for the Food-Energy-Water Nexus in Phoenix, Arizona: Implications for Nexus Governance

    Dave D. White;J. Leah Jones;Ross Maciejewski;Rimjhim Aggarwal

  • Understanding Twitter data with TweetXplorer

    Fred Morstatter;Shamanth Kumar;Huan Liu;Ross Maciejewski

  • InFoRM: Individual Fairness on Graph Mining

    Jian Kang;Jingrui He;Ross Maciejewski;Hanghang Tong

  • A Visual Analytics System for Exploring, Monitoring, and Forecasting Road Traffic Congestion

    Chunggi Lee;Yeonjun Kim;Seungmin Jin;Dongmin Kim

  • A Visual Analytics Approach to Understanding

    Ross Maciejewski;Stephen Rudolph;Ryan Hafen;Ahmad M. Abusalah

Frequent Co-Authors

David S. Ebert
David S. Ebert University of Oklahoma
Wei Chen
Wei Chen Zhejiang University
William S. Cleveland
William S. Cleveland Purdue University West Lafayette
Hanghang Tong
Hanghang Tong University of Illinois at Urbana-Champaign
Jingrui He
Jingrui He University of Illinois at Urbana-Champaign
Hans Hagen
Hans Hagen Technical University of Kaiserslautern
Mourad Ouzzani
Mourad Ouzzani Qatar Computing Research Institute
Niklas Elmqvist
Niklas Elmqvist University of Maryland, College Park
Tobias Isenberg
Tobias Isenberg French Institute for Research in Computer Science and Automation - INRIA
Stephen G. Kobourov
Stephen G. Kobourov University of Arizona

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