David Windridge

2.1k total citations
91 papers, 1.1k citations indexed

About

David Windridge is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, David Windridge has authored 91 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 40 papers in Computer Vision and Pattern Recognition and 15 papers in Signal Processing. Recurrent topics in David Windridge's work include Video Analysis and Summarization (10 papers), Face and Expression Recognition (7 papers) and Neural Networks and Applications (7 papers). David Windridge is often cited by papers focused on Video Analysis and Summarization (10 papers), Face and Expression Recognition (7 papers) and Neural Networks and Applications (7 papers). David Windridge collaborates with scholars based in United Kingdom, Russia and Pakistan. David Windridge's co-authors include Josef Kittler, Santosh Tirunagari, Norman Poh, Anthony T. S. Ho, Aamo Iorliam, Seyed Ali Ghorashi, Jean‐Yves Guillemaut, Mark S. Brown, Reza Shahbazian and Mohammad Nabati and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

David Windridge

85 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Windridge United Kingdom 18 477 287 259 88 82 91 1.1k
Abdelmalik Taleb‐Ahmed France 18 776 1.6× 322 1.1× 360 1.4× 87 1.0× 140 1.7× 114 1.4k
Khoa Luu United States 19 1.1k 2.4× 259 0.9× 412 1.6× 146 1.7× 50 0.6× 94 1.7k
Ezequiel López‐Rubio Spain 20 731 1.5× 107 0.4× 422 1.6× 80 0.9× 55 0.7× 119 1.3k
S. Maouche France 11 392 0.8× 149 0.5× 658 2.5× 102 1.2× 183 2.2× 40 1.5k
Qiang Cheng United States 19 524 1.1× 113 0.4× 459 1.8× 57 0.6× 53 0.6× 79 1.3k
Gang Qian United States 18 749 1.6× 123 0.4× 273 1.1× 26 0.3× 102 1.2× 76 1.4k
Avinash G. Keskar India 17 482 1.0× 84 0.3× 318 1.2× 229 2.6× 113 1.4× 109 1.1k
Jianfeng Ren China 20 758 1.6× 185 0.6× 173 0.7× 111 1.3× 64 0.8× 94 1.3k
Changsheng Li China 24 956 2.0× 115 0.4× 602 2.3× 111 1.3× 53 0.6× 77 1.6k

Countries citing papers authored by David Windridge

Since Specialization
Citations

This map shows the geographic impact of David Windridge'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 Windridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Windridge more than expected).

Fields of papers citing papers by David Windridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Windridge. 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 Windridge. The network helps show where David Windridge may publish in the future.

Co-authorship network of co-authors of David Windridge

This figure shows the co-authorship network connecting the top 25 collaborators of David Windridge. A scholar is included among the top collaborators of David Windridge 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 Windridge. David Windridge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Siddiqui, Ammar Ahmed, Santosh Tirunagari, Tehseen Zia, & David Windridge. (2025). A latent diffusion approach to visual attribution in medical imaging. Scientific Reports. 15(1). 962–962.
2.
Viavattene, Christophe, et al.. (2025). Identifying social vulnerability profiles for coastal flood using supervised and unsupervised machine learning: A case study of Lekki Peninsula, Lagos, Nigeria. International Journal of Disaster Risk Reduction. 127. 105693–105693. 1 indexed citations
3.
Zia, Tehseen, et al.. (2024). Faithful Counterfactual Visual Explanations (FCVE). Knowledge-Based Systems. 294. 111668–111668. 1 indexed citations
4.
Liu, Xiaolei, K. Barth, David Windridge, & Kai Xü. (2024). Accelerating Material Discovery for CdTe Solar Cells Using Knowledge Intense Word Embeddings. 281–283.
5.
Zia, Tehseen, et al.. (2023). Visual attribution using Adversarial Latent Transformations. Computers in Biology and Medicine. 166. 107521–107521. 2 indexed citations
6.
Tirunagari, Santosh, et al.. (2023). Pediatrics in Artificial Intelligence Era: A Systematic Review on Challenges, Opportunities, and Explainability. Indian Pediatrics. 60(7). 561–569. 16 indexed citations
7.
Windridge, David, et al.. (2023). Deep Combination of Radar With Optical Data for Gesture Recognition: Role of Attention in Fusion Architectures. IEEE Transactions on Instrumentation and Measurement. 72. 1–15. 2 indexed citations
8.
Tirunagari, Santosh, et al.. (2022). A novel kernel based approach to arbitrary length symbolic data with application to type 2 diabetes risk. Scientific Reports. 12(1). 4985–4985.
9.
Nabati, Mohammad, et al.. (2021). Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation. Computer Networks. 194. 108149–108149. 84 indexed citations
10.
Tirunagari, Santosh, et al.. (2020). Epileptic seizure detection using constrained singular spectrum analysis and 1D-local binary patterns. Health and Technology. 10(3). 699–709. 9 indexed citations
11.
George, Carlisle, et al.. (2018). Data Governance in the Health Industry: Investigating Data Quality Dimensions within a Big Data Context. Applied System Innovation. 1(4). 43–43. 19 indexed citations
12.
Tirunagari, Santosh, et al.. (2017). Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition. Machine Vision and Applications. 28(3-4). 393–407. 12 indexed citations
13.
Avula, Shivaram, M A Spiteri, Ram Kumar, et al.. (2016). Post-operative pediatric cerebellar mutism syndrome and its association with hypertrophic olivary degeneration. Quantitative Imaging in Medicine and Surgery. 6(5). 535–544. 34 indexed citations
14.
Juneja, Prabhjot, Philip Evans, David Windridge, & Emma Harris. (2016). Classification of fibroglandular tissue distribution in the breast based on radiotherapy planning CT. BMC Medical Imaging. 16(1). 6–6. 2 indexed citations
15.
Poh, Norman, Santosh Tirunagari, & David Windridge. (2014). Challenges in designing an online healthcare platform for personalised patient analytics. Middlesex University Research Repository (Middlesex University Of London). 1–6. 7 indexed citations
16.
Windridge, David, et al.. (2013). Trained Eyes: Experience Promotes Adaptive Gaze Control in Dynamic and Uncertain Visual Environments. PLoS ONE. 8(8). e71371–e71371. 7 indexed citations
17.
Yan, Fei, Josef Kittler, Krystian Mikolajczyk, & David Windridge. (2012). Automatic Annotation of Court Games with Structured Output Learning. View. 2 indexed citations
18.
Windridge, David, et al.. (2012). Convex support and Relevance Vector Machines for selective multimodal pattern recognition. Surrey Research Insight Open Access (The University of Surrey). 1 indexed citations
19.
Windridge, David, et al.. (2012). Looking to Score: The Dissociation of Goal Influence on Eye Movement and Meta-Attentional Allocation in a Complex Dynamic Natural Scene. PLoS ONE. 7(6). e39060–e39060. 14 indexed citations
20.
Huang, Qiang, Simón Cox, Fei Yan, et al.. (2011). Improved Detection of Ball Hit Events in a Tennis Game Using Multimodal Information. UEA Digital Repository (University of East Anglia). 127–130. 4 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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