2026 Alan M. MacEachren: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	65	2431	2355	1217	1172	219	19904

Research.com Recognitions

2013 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Alan M. MacEachren is affiliated with Pennsylvania State University in the United States and has contributed extensively to research in areas intersecting computer science and social sciences. Their work spans multiple subfields including computer vision and pattern recognition, geography, planning and development, signal processing, transportation, and communication.

The scientist's main topics of research include:

Data Visualization and Analytics
Geographic Information Systems Studies
Data Management and Algorithms
Human Mobility and Location-Based Analysis
Web Data Mining and Analysis
Urban Transport and Accessibility
Data-Driven Disease Surveillance

Recent publications by Alan M. MacEachren cover a variety of subjects within these topics. Selected recent papers include:

"Characterizing traveling fans: a workflow for event-oriented travel pattern analysis using Twitter data", 2020, International Journal of Geographical Information Systems
"The geography of sentiment towards the Women's March of 2017", 2020, PLoS ONE
"GeoLinter: A Linting Framework for Choropleth Maps", 2023, IEEE Transactions on Visualization and Computer Graphics
"Comparison of font size and background color strategies for tag weights on tag maps", 2023, Cartography and Geographic Information Science
"Utility and usability of intrinsic tag maps", 2020, Cartography and Geographic Information Science

Publication venues frequently featuring their work include:

Cartography and Geographic Information Science
Transactions in GIS
International Journal of Geographical Information Systems
IEEE Transactions on Visualization and Computer Graphics
PLoS ONE

Alan M. MacEachren has collaborated regularly with a set of coauthors, reflecting interdisciplinary research efforts. Frequent coauthors include:

Nai Yang
Scott Pezanowski
Prasenjit Mitra
Lei Fan
Arlen Fan

The scientist's contributions have been formally recognized with the award of Fellow of the American Association for the Advancement of Science (AAAS) in 2013.

Best Publications

How Maps Work: Representation, Visualization, and Design

Alan M. MacEachren

3080
Citations
Research challenges in geovisualization

Alan M. MacEachren;Menno-Jan Kraak

1072
Citations
Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know

Alan M. MacEachren;Anthony Robinson;Susan Hopper;Steven Gardner

767
Citations
Animation and the Role of Map Design in Scientific Visualization

David DiBiase;Alan M. MacEachren;John B. Krygier;Catherine Reeves

643
Citations
Exploratory cartographic visualization: advancing the agenda

Alan M. MacEachren;Menno-Jan Kraak

626
Citations
Geovisual analytics for spatial decision support: Setting the research agenda

G. Andrienko;N. Andrienko;P. Jankowski;D. Keim

615
Citations
VISUALIZING UNCERTAIN INFORMATION

Alan M. MacEachren

595
Citations
Visualization in Modern Cartography: Setting the Agenda

Alan M. Maceachren

533
Citations
Visualization in modern cartography

Alan M. MacEachren;D. R. F. Taylor

482
Citations
SensePlace2: GeoTwitter analytics support for situational awareness

Alan M. MacEachren;Anuj Jaiswal;Anthony C. Robinson;Scott Pezanowski

478
Citations
A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP)

D. Guo;J. Chen;A.M. MacEachren;K. Liao

428
Citations
Some Truth With Maps: A Primer on Symbolization and Design

Alan MacEachren

381
Citations
Constructing knowledge from multivariate spatiotemporal data: integrating geographical visualization with knowledge discovery in database methods

Alan M. MacEachren;Monica Wachowicz;Robert M. Edsall;Daniel Haug

360
Citations
Geovisualization for knowledge construction and decision support

A.M. MacEachren;M. Gahegan;W. Pike;I. Brewer

358
Citations
Visual Semiotics a Uncertainty Visualization: An Empirical Study

A. M. MacEachren;R. E. Roth;J. O'Brien;B. Li

348
Citations
A Typology for Visualizing Uncertainty

Judi R. Thomson;Elizabeth G. Hetzler;Alan MacEachren;Mark N. Gahegan

303
Citations
Developing a conceptual framework for visually-enabled geocollaboration

Alan M. MacEachren;Isaac Brewer

290
Citations
Geovisual analytics to enhance spatial scan statistic interpretation: an analysis of U.S. cervical cancer mortality

Jin Chen;Robert E Roth;Adam T Naito;Eugene J Lengerich

276
Citations
A PATTERN IDENTIFICATION APPROACH TO CARTOGRAPHIC VISUALIZATION

Alan M Maceachren;John H Ganter

261
Citations
It’s a long, long walk: accessibility to hospitals, maternity and integrated health centers in Niger

Justine I Blanford;Supriya Kumar;Wei Luo;Alan M MacEachren

234
Citations
Multivariate Analysis and Geovisualization with an Integrated Geographic Knowledge Discovery Approach

Diansheng Guo;Mark Gahegan;Alan M. MacEachren;Biliang Zhou

225
Citations

Frequent Co-Authors

Prasenjit Mitra Pennsylvania State University

Menno-Jan Kraak University of Twente

Mark Gahegan University of Auckland

Brent Yarnal Pennsylvania State University

Jason Dykes City, University of London

Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems

Silvia Miksch TU Wien

Natalia Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems

Craig Meyers Pennsylvania State University

Stefan Wrobel University of Bonn

External Links

Wikipedia of Alan M. MacEachren Personal website of Alan M. MacEachren Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens a wide array of pathways at every educational level. For those considering a flexible and budget-friendly start, many students explore the best associates degrees to get online. This option offers a fast track into IT roles or can serve as a stepping stone toward further study.

If you’re seeking deeper technical expertise without high tuition costs, check out the cheap online master's programs. These programs provide advanced knowledge while keeping expenses manageable.

Leadership positions in tech often require more than just technical skills. You might consider earning a doctorate in leadership online to complement your computer science background and progress into roles that shape organizational strategy.

For those wishing to reach the highest academic levels with cost-effectiveness in mind, there are also the cheapest accredited online doctoral programs. These programs support a pathway to teaching, research, or executive tech leadership.