Ross Maciejewski

Ross Maciejewski

Arizona State University

H-index: 45

North America-United States

About Ross Maciejewski

Ross Maciejewski, With an exceptional h-index of 45 and a recent h-index of 33 (since 2020), a distinguished researcher at Arizona State University, specializes in the field of Visual Analytics, Visualization, Data Science, Geography, Explainable AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Survey of Designs for Combined 2D+ 3D Visual Representations

Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation

Capturing Cancer as Music: Cancer Mechanisms Expressed through Musification

Grand Challenges in Visual Analytics Applications

Parallel Computation of Piecewise Linear Morse-Smale Segmentations

FATE: Fairness Attacks on Graph Learning

Visualizing and comparing machine learning predictions to improve Human-AI teaming on the example of cell lineage

MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations

Ross Maciejewski Information

University

Position

Associate Professor of Computer Science and Engineering

Citations(all)

6917

Citations(since 2020)

4598

Cited By

3892

hIndex(all)

45

hIndex(since 2020)

33

i10Index(all)

107

i10Index(since 2020)

83

Email

University Profile Page

Arizona State University

Google Scholar

View Google Scholar Profile

Ross Maciejewski Skills & Research Interests

Visual Analytics

Visualization

Data Science

Geography

Explainable AI

Top articles of Ross Maciejewski

Title

Journal

Author(s)

Publication Date

A Survey of Designs for Combined 2D+ 3D Visual Representations

arXiv preprint arXiv:2401.05438

Jiayi Hong

Rostyslav Hnatyshyn

Ebrar AD Santos

Ross Maciejewski

Tobias Isenberg

2024/1/8

Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation

arXiv preprint arXiv:2403.08260

Arlen Fan

Fan Lei

Michelle Mancenido

Alan MacEachren

Ross Maciejewski

2024/3/13

Capturing Cancer as Music: Cancer Mechanisms Expressed through Musification

arXiv preprint arXiv:2402.06777

Rostyslav Hnatyshyn

Jiayi Hong

Ross Maciejewski

Christopher Norby

Carlo C Maley

2024/2/9

Grand Challenges in Visual Analytics Applications

IEEE Computer Graphics and Applications

Aoyu Wu

Dazhen Deng

Min Chen

Shixia Liu

Daniel Keim

...

2023/9/15

Parallel Computation of Piecewise Linear Morse-Smale Segmentations

IEEE Transactions on Visualization and Computer Graphics

Robin GC Maack

Jonas Lukasczyk

Julien Tierny

Hans Hagen

Ross Maciejewski

...

2023/3/27

FATE: Fairness Attacks on Graph Learning

Jian Kang

Yinglong Xia

Ross Maciejewski

Jiebo Luo

Hanghang Tong

2023/12/12

Visualizing and comparing machine learning predictions to improve Human-AI teaming on the example of cell lineage

IEEE Transactions on Visualization and Computer Graphics

Jiayi Hong

Ross Maciejewski

Alain Trubuil

Tobias Isenberg

2023/9/4

MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations

IEEE Transactions on Visualization and Computer Graphics

Rostyslav Hnatyshyn

Jieqiong Zhao

Danny Perez

James Ahrens

Ross Maciejewski

2023/11/8

Latent Sequence Generation of Steered Molecular Dynamics

John Kevin Cava

Ankita Shukla

John Wyatt Vant

Shubhra Kanti Karmaker

Pavan K Turaga

...

2023/3/3

Systems and methods for annotating line charts in the wild

2023/8/31

Evaluating the impact of uncertainty visualization on model reliance

IEEE Transactions on Visualization and Computer Graphics

Jieqiong Zhao

Yixuan Wang

Michelle V Mancenido

Erin K Chiou

Ross Maciejewski

2023/3/3

GeoExplainer: A Visual Analytics Framework for Spatial Modeling Contextualization and Report Generation

IEEE Transactions on Visualization and Computer Graphics

Fan Lei

Yuxin Ma

A Stewart Fotheringham

Elizabeth A Mack

Ziqi Li

...

2023/10/26

Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey

ACM SIGKDD Explorations Newsletter

Dongqi Fu

Wenxuan Bao

Ross Maciejewski

Hanghang Tong

Jingrui He

2023/6/26

Deceptive Fairness Attacks on Graphs via Meta Learning

arXiv preprint arXiv:2310.15653

Jian Kang

Yinglong Xia

Ross Maciejewski

Jiebo Luo

Hanghang Tong

2023/10/24

Fairness-aware clique-preserving spectral clustering of temporal graphs

Dongqi Fu

Dawei Zhou

Ross Maciejewski

Arie Croitoru

Marcus Boyd

...

2023/4/30

GeoLinter: A Linting Framework for Choropleth Maps

IEEE Transactions on Visualization and Computer Graphics

Fan Lei

Arlen Fan

Alan M MacEachren

Ross Maciejewski

2023/10/6

Annotating line charts for addressing deception

Arlen Fan

Yuxin Ma

Michelle Mancenido

Ross Maciejewski

2022/4/27

DISCO: comprehensive and explainable disinformation detection

Dongqi Fu

Yikun Ban

Hanghang Tong

Ross Maciejewski

Jingrui He

2022/10/17

Learning Free Energy Pathways through Reinforcement Learning of Adaptive Steered Molecular Dynamics

bioRxiv

Nicholas Ho

John Kevin Cava

John Vant

Ankita Shukla

Jake Miratsky

...

2022

Meta-learned metrics over multi-evolution temporal graphs

Dongqi Fu

Liri Fang

Ross Maciejewski

Vetle I Torvik

Jingrui He

2022/8/14

See List of Professors in Ross Maciejewski University(Arizona State University)

Co-Authors

H-index: 133
Huan Liu

Huan Liu

Arizona State University

H-index: 90
Douglas C. Montgomery

Douglas C. Montgomery

Arizona State University

H-index: 84
Edward Delp

Edward Delp

Purdue University

H-index: 72
Thomas Ertl

Thomas Ertl

Universität Stuttgart

H-index: 60
Paul Longley

Paul Longley

University College London

H-index: 59
William S. Cleveland

William S. Cleveland

Purdue University

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