2026 David Bull: 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	62	2853	2769	168	166	612	19776

Research.com Recognitions

2013 - IEEE Fellow For contributions in video analysis, compression and communications

Overview

David Bull is affiliated with the University of Bristol in the United Kingdom and has a research focus predominantly within the field of Computer Science. Their work spans several subfields, including Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Aerospace Engineering, and Management, Monitoring, Policy and Law.

Over the course of their career, David Bull has contributed extensively to topics such as:

Advanced Image Processing Techniques
Image and Video Quality Assessment
Advanced Vision and Imaging
Video Coding and Compression Technologies
Advanced Data Compression Techniques
Image and Signal Denoising Methods
Image Enhancement Techniques

The scientist has published more than 200 works, with a significant number appearing in prominent venues including:

arXiv (Cornell University)
Signal Processing Image Communication
2022 IEEE International Conference on Image Processing (ICIP)
Artificial Intelligence Review
Bristol Research (University of Bristol)

Among their recent publications are the following papers:

HABNet: Machine Learning, Remote Sensing-Based Detection of Harmful Algal Blooms, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering, 2020, IEEE Journal of Selected Topics in Signal Processing
Detecting Ground Deformation in the Built Environment Using Sparse Satellite InSAR Data With a Convolutional Neural Network, 2020, IEEE Transactions on Geoscience and Remote Sensing
Time-Series Prediction Approaches to Forecasting Deformation in Sentinel-1 InSAR Data, 2021, Journal of Geophysical Research Solid Earth
ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

David Bull has collaborated frequently with a number of co-authors, including:

Fan Zhang
Nantheera Anantrasirichai
Duolikun Danier
Angeliki Katsenou

In recognition of their contributions to the field, David Bull was named an IEEE Fellow in 2013 for their work on video analysis, compression, and communications.

Best Publications

An overview of genetic algorithms: Part 1, fundamentals

David Beasley;David R. Bull;Ralph Robert Martin

1751
Citations
Artificial intelligence in the creative industries: a review

Nantheera Anantrasirichai;David R. Bull

1091
Citations
Pixel- and region-based image fusion with complex wavelets

John J. Lewis;Robert J. O'Callaghan;Stavri G. Nikolov;David R. Bull

954
Citations
Projective image restoration using sparsity regularization

N. Anantrasirichai;J. Burn;David R. Bull

763
Citations
A sequential niche technique for multimodal function optimization

David Beasley;David R. Bull;Ralph R. Martin

760
Citations
A comparison of the HIPERLAN/2 and IEEE 802.11a wireless LAN standards

A. Doufexi;S. Armour;M. Butler;A. Nix

629
Citations
Primitive operator digital filters

D.R. Bull;D.H. Horrocks

396
Citations
Image Fusion Using Complex Wavelets

Unknown

311
Citations
Proceedings of the IEEE International Conference on Image Processing (ICIP)

Jth Chung How;David Bull

300
Citations
Image fusion metric based on mutual information and Tsallis entropy

N Cvejic;C N Canagarajah;David Bull

248
Citations
Sequential Monte Carlo tracking by fusing multiple cues in video sequences

Paul Brasnett;Lyudmila Mihaylova;David Bull;Nishan Canagarajah

247
Citations
Combined morphological-spectral unsupervised image segmentation

R.J. O'Callaghan;D.R. Bull

245
Citations
Region-Based Multimodal Image Fusion Using ICA Bases

N. Cvejic;D. Bull;N. Canagarajah

233
Citations
Wavelets for Image Fusion

Stavri Nikolov;Paul Hill;David Bull;Nishan Canagarajah

217
Citations
Application of Machine Learning to Classification of Volcanic Deformation in Routinely-Generated InSAR data

N. Anantrasirichai;J. Biggs;F. Albino;P. Hill

214
Citations
Region-Based Image Fusion Using Complex Wavelets

J. J. Lewis;R. J. O’Callaghan;S. G. Nikolov;D. R. Bull

212
Citations
Automatic contrast enhancement of low-light images based on local statistics of wavelet coefficients

Artur Łoza;David R. Bull;Paul R. Hill;Alin M. Achim

196
Citations
A Similarity Metric for Assessment of Image Fusion Algorithms

Nedeljko Cvejic;Artur Łoza;David Bull;Nishan Canagarajah

193
Citations
Robust texture features for blurred images using Undecimated Dual-Tree Complex Wavelets

N. Anantrasirichai;J. Burn;David R. Bull

175
Citations
Image segmentation using a texture gradient based watershed transform

P.R. Hill;C.N. Canagarajah;D.R. Bull

161
Citations
2009 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS

Victoria Sgardoni;Pierre Ferre;Andrew R Nix;David Bull

156
Citations
Proceedings of SPIE - The International Society for Optical Engineering

Dimitris Agrafiotis;P. Ferré;David Bull

90
Citations
Proc IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

PJ Czerepinski;MF Tariq;David Bull;C N Canagarajah

55
Citations

Frequent Co-Authors

Andrew R Nix University of Bristol

Nishan Canagarajah University of Bristol

Simon Armour University of Bristol

Lyudmila Mihaylova University of Sheffield

Iain D. Gilchrist University of Bristol

Juliet Biggs University of Bristol

Paul Verkade University of Bristol

Ralph R. Martin Cardiff University

Erik Reinhard InterDigital (United States)

Nick Kingsbury University of Cambridge

External Links

Personal website of David Bull Google Scholar page

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