2026 James E. Fowler: 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	40	9189	8922	3911	3748	184	8200

Research.com Recognitions

2017 - IEEE Fellow For contributions to lossy source coding and dimensionality reduction of multidimensional data

Overview

James E. Fowler is a researcher affiliated with Mississippi State University in the United States. Their work spans multiple fields including engineering, computer science, and medicine. The primary research areas focus on computer vision and pattern recognition, media technology, and artificial intelligence, alongside contributions to clinical psychology and computational mechanics.

The scientist's recent publications reflect extensive work in remote sensing and image processing. Key papers include:

Hyperspectral Restoration and Fusion With Multispectral Imagery via Low-Rank Tensor-Approximation, 2021, IEEE Transactions on Geoscience and Remote Sensing
Hypergraph-Regularized Low-Rank Subspace Clustering Using Superpixels for Unsupervised Spatial-Spectral Hyperspectral Classification, 2020, IEEE Geoscience and Remote Sensing Letters
Computationally Lightweight Hyperspectral Image Classification Using a Multiscale Depthwise Convolutional Network With Channel Attention, 2023, IEEE Geoscience and Remote Sensing Letters
Local-Global Active Learning Based on a Graph Convolutional Network for Semi-Supervised Classification of Hyperspectral Imagery, 2023, IEEE Geoscience and Remote Sensing Letters
The Foundations of Computational Imaging: A signal processing perspective, 2023, IEEE Signal Processing Magazine

Major publication venues for the scientist include:

IEEE Geoscience and Remote Sensing Letters
IEEE Signal Processing Magazine
IEEE Transactions on Geoscience and Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
UNC Libraries

The scientist collaborates frequently with colleagues including Wei Li, Zhen Ye, Lin Bai, Cuiling Li, and Qingxin Liu.

The main topics of their work cover:

Remote-Sensing Image Classification
Advanced Image Fusion Techniques
Image and Signal Denoising Methods
Sparse and Compressive Sensing Techniques
Remote Sensing and Land Use
Advanced Image and Video Retrieval Techniques
Domain Adaptation and Few-Shot Learning

James E. Fowler received the IEEE Fellow award in 2017 for contributions to lossy source coding and dimensionality reduction of multidimensional data.

Best Publications

Block Compressed Sensing of Images Using Directional Transforms

Sungkwang Mun;James E. Fowler

835
Citations
Hyperspectral Image Compression Using JPEG2000 and Principal Component Analysis

Qian Du;J.E. Fowler

548
Citations
Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis

Wei Li;S. Prasad;J. E. Fowler;L. M. Bruce

539
Citations
The redundant discrete wavelet transform and additive noise

J.E. Fowler

437
Citations
QccPack: an open-source software library for quantization, compression, and coding

J.E. Fowler

315
Citations
Compressed-sensing recovery of images and video using multihypothesis predictions

Chen Chen;Eric W. Tramel;James E. Fowler

301
Citations
Block-Based Compressed Sensing of Images and Video

James E. Fowler;Sungkwang Mun;Eric W. Tramel

260
Citations
Nearest Regularized Subspace for Hyperspectral Classification

Wei Li;Eric W. Tramel;Saurabh Prasad;James E. Fowler

250
Citations
Residual Reconstruction for Block-Based Compressed Sensing of Video

Sungkwang Mun;James E. Fowler

241
Citations
Compressive-Projection Principal Component Analysis

J.E. Fowler

202
Citations
Multiscale block compressed sensing with smoothed projected Landweber reconstruction

James E. Fowler;Sungkwang Mun;Eric W. Tramel

194
Citations
Hyperspectral Image Classification Using Gaussian Mixture Models and Markov Random Fields

Wei Li;Saurabh Prasad;James E. Fowler

168
Citations
Low-Complexity Principal Component Analysis for Hyperspectral Image Compression

Qian Du;James E. Fowler

163
Citations
Locality-Preserving Discriminant Analysis in Kernel-Induced Feature Spaces for Hyperspectral Image Classification

Wei Li;S. Prasad;J. E. Fowler;L. M. Bruce

147
Citations
Sparse Graph-Based Discriminant Analysis for Hyperspectral Imagery

Nam Hoai Ly;Qian Du;James E. Fowler

144
Citations
Video Compressed Sensing with Multihypothesis

Eric W. Tramel;James E. Fowler

140
Citations
Three‐Dimensional Wavelet‐Based Compression of Hyperspectral Imagery

James E. Fowler;Justin T. Rucker

139
Citations
Lossless compression of volume data

James E. Fowler;Roni Yagel

132
Citations
Anomaly Detection and Reconstruction From Random Projections

J. E. Fowler;Qian Du

123
Citations
Wavelet transforms for vector fields using omnidirectionally balanced multiwavelets

J.E. Fowler;Li Hua

108
Citations

Frequent Co-Authors

Qian Du Mississippi State University

Wei Li Beijing Institute of Technology

Saurabh Prasad University of Houston

Beatrice Pesquet-Popescu University of Paris-Saclay

Ran Tao Beijing Institute of Technology

Roni Yagel InSightec (Israel)

Jocelyn Chanussot Grenoble Alpes University

Raghu Machiraju The Ohio State University

Marco Tagliasacchi Google (Switzerland)

Jose M. Bioucas-Dias Instituto Superior Técnico

External Links

Personal website of James E. Fowler Google Scholar page

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