David Bull

13.1k total citations · 2 hit papers
388 papers, 8.0k citations indexed

About

David Bull is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, David Bull has authored 388 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 265 papers in Computer Vision and Pattern Recognition, 133 papers in Signal Processing and 61 papers in Media Technology. Recurrent topics in David Bull's work include Video Coding and Compression Technologies (95 papers), Advanced Image Processing Techniques (81 papers) and Advanced Data Compression Techniques (76 papers). David Bull is often cited by papers focused on Video Coding and Compression Technologies (95 papers), Advanced Image Processing Techniques (81 papers) and Advanced Data Compression Techniques (76 papers). David Bull collaborates with scholars based in United Kingdom, France and Brazil. David Bull's co-authors include Nishan Canagarajah, David W. C. Beasley, Ralph R. Martin, Paul Hill, Fan Zhang, Dimitris K. Agrafiotis, C.N. Canagarajah, Alin Achim, Nantheera Anantrasirichai and S.G. Nikolov and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Remote Sensing of Environment.

In The Last Decade

David Bull

357 papers receiving 7.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pixel- and region-based image fusion with complex wavelets

2005 676 citations R.J. O'Callaghan, David Bull et al. profile →
An overview of genetic algorithms: Part 1, fundamentals

1993 535 citations David Bull et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David Bull	4.1k	1.8k	1.5k	1.2k	991	388	8.0k
Yuan Yan Tang	5.4k 1.3×	3.1k 1.7×	791 0.5×	1.2k 1.0×	1.3k 1.4×	495	10.6k
Fathi E. Abd El‐Samie	3.8k 0.9×	1.1k 0.6×	1.7k 1.1×	1.5k 1.3×	281 0.3×	628	7.8k
Xiao–Ping Zhang	4.8k 1.2×	2.6k 1.4×	754 0.5×	1.2k 1.1×	1.2k 1.2×	483	10.7k
A.N. Venetsanopoulos	6.4k 1.6×	2.2k 1.2×	2.3k 1.5×	1.3k 1.1×	387 0.4×	330	9.7k
Jenq–Neng Hwang	5.1k 1.2×	665 0.4×	960 0.6×	1.0k 0.9×	785 0.8×	395	8.5k
Bin Luo	3.7k 0.9×	1.2k 0.7×	505 0.3×	497 0.4×	559 0.6×	548	7.2k
Jianfei Cai	7.0k 1.7×	752 0.4×	999 0.6×	1.3k 1.1×	510 0.5×	309	13.3k
Konstantinos N. Plataniotis	7.6k 1.9×	2.0k 1.1×	2.9k 1.8×	2.0k 1.8×	728 0.7×	531	14.1k
Vinod Nair	3.9k 1.0×	848 0.5×	962 0.6×	754 0.7×	397 0.4×	23	9.8k
Nikolaos Doulamis	2.8k 0.7×	1.1k 0.6×	546 0.4×	931 0.8×	430 0.4×	311	7.9k

Countries citing papers authored by David Bull

Since Specialization

Citations

This map shows the geographic impact of David Bull's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Bull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bull more than expected).

Fields of papers citing papers by David Bull

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Bull. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Bull. The network helps show where David Bull may publish in the future.

Co-authorship network of co-authors of David Bull

This figure shows the co-authorship network connecting the top 25 collaborators of David Bull. A scholar is included among the top collaborators of David Bull based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Bull. David Bull is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Anantrasirichai, Nantheera, et al.. (2025). Wavelet-Based Topological Loss for Low-Light Image Denoising. Sensors. 25(7). 2047–2047.

Anantrasirichai, Nantheera, et al.. (2025). Intelligent Cinematography: a review of AI research for cinematographic production. Artificial Intelligence Review. 58(4). 3 indexed citations

Feng, Chen, et al.. (2024). RankDVQA-Mini: Knowledge Distillation-Driven Deep Video Quality Assessment. 1–5.

Natarajan, Venkatesh, et al.. (2024). GMP implementation of a hybrid continuous manufacturing process for a recombinant non‐ mAb protein—A case study. Biotechnology Progress. 40(4). 99–102. 2 indexed citations

Zhang, Fan, et al.. (2023). BVI-VFI: A Video Quality Database for Video Frame Interpolation. IEEE Transactions on Image Processing. 32. 6004–6019. 4 indexed citations

Zhang, Fan, et al.. (2021). Video Compression With CNN-Based Postprocessing. IEEE Multimedia. 28(4). 74–83. 24 indexed citations

Hill, Paul, Juliet Biggs, Víctor Ponce-López, & David Bull. (2021). Time‐Series Prediction Approaches to Forecasting Deformation in Sentinel‐1 InSAR Data. Journal of Geophysical Research Solid Earth. 126(3). 47 indexed citations

Katsenou, Angeliki, et al.. (2020). BVI-SynTex: A Synthetic Video Texture Dataset for Video Compression and Quality Assessment. IEEE Transactions on Multimedia. 23. 26–38. 8 indexed citations

Zhang, Fan, et al.. (2020). MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering. IEEE Journal of Selected Topics in Signal Processing. 15(2). 378–387. 49 indexed citations

10.

Hill, Paul, Anurag Kumar, Marouane Temimi, & David Bull. (2020). HABNet: Machine Learning, Remote Sensing-Based Detection of Harmful Algal Blooms. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 3229–3239. 98 indexed citations

11.

Anantrasirichai, Nantheera, Juliet Biggs, Tim Wright, et al.. (2020). Detecting Ground Deformation in the Built Environment Using Sparse Satellite InSAR Data With a Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing. 59(4). 2940–2950. 51 indexed citations

12.

Anantrasirichai, Nantheera, Juliet Biggs, F. Albino, & David Bull. (2019). A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets. Remote Sensing of Environment. 230. 111179–111179. 123 indexed citations

13.

Zhang, Fan & David Bull. (2018). Rate-Distortion Optimization Using Adaptive Lagrange Multipliers. IEEE Transactions on Circuits and Systems for Video Technology. 29(10). 3121–3131. 21 indexed citations

14.

Anantrasirichai, Nantheera, Juliet Biggs, F. Albino, Paul Hill, & David Bull. (2018). Application of Machine Learning to Classification of Volcanic Deformation in Routinely Generated InSAR Data. Journal of Geophysical Research Solid Earth. 123(8). 6592–6606. 136 indexed citations

15.

Zhang, Fan, et al.. (2018). Video Compression Based on Spatio-Temporal Resolution Adaptation. IEEE Transactions on Circuits and Systems for Video Technology. 29(1). 275–280. 51 indexed citations

16.

Anantrasirichai, Nantheera, Iain D. Gilchrist, & David Bull. (2016). Fixation identification for low-sample-rate mobile eye trackers. Bristol Research (University of Bristol). 3126–3130. 21 indexed citations

17.

Ferré, Pierre, et al.. (2007). IEEE International Conference on Signal Processing and Communications, 2007, ICSPC 2007. Bristol Research (University of Bristol). 16 indexed citations

18.

Heesch, Daniel, et al.. (2002). Video Retrieval Using Global Features in Keyframes.. Text REtrieval Conference. 17 indexed citations

19.

Bull, David, et al.. (1991). Neural processing of airborne sonar for mobile robot applications. 267–270. 8 indexed citations

20.

Horrocks, D.H. & David Bull. (1989). The frequency variation of response errors in fixed and floating point FIR filters. 238–241. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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