World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
11858
World Ranking
6372
National Ranking
2843

Research.com Recognitions

  • 2015 - ACM Distinguished Member

Overview

George Forman is affiliated with Amazon in the United States and contributes to research primarily within the fields of Social Sciences and Computer Science. Their work spans across various subfields, including Signal Processing, Transportation, and Geography, Planning and Development.

The scientist's research focuses on several main topics that intersect with their fields of study. These topics are:

  • Data Management and Algorithms
  • Human Mobility and Location-Based Analysis
  • Geographic Information Systems Studies

Forman's contributions emphasize data management techniques and algorithmic approaches related to human movement and spatial data analysis. This interdisciplinary focus connects computational methods with geographic and social science applications.

The scientist's coauthors and publication venues have not been recorded, nor are there any entries for recent papers or book publications. However, the notable recognition includes the award of ACM Distinguished Member in 2015, which reflects involvement in the computing community.

Overall, the scope of George Forman's scholarly activities indicates engagement at the intersection of technology and social science, applying computational methodologies to issues involving geography, transportation systems, and human mobility patterns.

Best Publications

  • An extensive empirical study of feature selection metrics for text classification

    George Forman

  • The challenges of mobile computing

    George H. Forman;John Zahorjan

  • Apples-to-apples in cross-validation studies: pitfalls in classifier performance measurement

    George Forman;Martin Scholz

  • Evolving feature selection

    H. Liu;E.R. Dougherty;J.G. Dy;K. Torkkola

  • Cool job allocation: measuring the power savings of placing jobs at cooling-efficient locations in the data center

    Cullen Bash;George Forman

  • Distributed data clustering can be efficient and exact

    George Forman;Bin Zhang

  • Learning from little: comparison of classifiers given little training

    George Forman;Ira Cohen

  • Quantifying counts and costs via classification

    George Forman

  • BNS feature scaling: an improved representation over tf-idf for svm text classification

    George Forman

  • Mining large-scale, sparse GPS traces for map inference: comparison of approaches

    Xuemei Liu;James Biagioni;Jakob Eriksson;Yin Wang

  • A pitfall and solution in multi-class feature selection for text classification

    George Forman

  • Retraining a machine-learning classifier using re-labeled training samples

    George Forman;Henri Jacques Suermondt

  • CrowdAtlas: self-updating maps for cloud and personal use

    Yin Wang;Xuemei Liu;Hong Wei;George Forman

  • Data de-duplication

    George Henry Forman;Fereydoon Safai;Bin Zhang

  • Tackling concept drift by temporal inductive transfer

    George Forman

  • Finding similar files in large document repositories

    George Forman;Kave Eshghi;Stephane Chiocchetti

  • Counting positives accurately despite inaccurate classification

    George Forman

  • Systems and methods for improving web site user experience

    George Forman;Evan R. Kirshenbaum

  • Distributing content indices

    George H. Forman;Zhichen Xu

  • Managed application pre-launching

    George Forman

Frequent Co-Authors

Yanmin Zhu
Yanmin Zhu Shanghai Jiao Tong University
Mark Lillibridge
Mark Lillibridge Meta Platforms, Inc.
Michael E. Berens
Michael E. Berens Translational Genomics Research Institute
Ira Cohen
Ira Cohen Hewlett-Packard (United States)
Huan Liu
Huan Liu Arizona State University
Chris Ding
Chris Ding Chinese University of Hong Kong, Shenzhen
Hanchuan Peng
Hanchuan Peng Southeast University
Alex C. Snoeren
Alex C. Snoeren University of California, San Diego
Edward R. Dougherty
Edward R. Dougherty Texas A&M University
Jennifer G. Dy
Jennifer G. Dy Northeastern University

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