Danny Crookes

2.4k total citations
163 papers, 1.6k citations indexed

About

Danny Crookes is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Danny Crookes has authored 163 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Vision and Pattern Recognition, 43 papers in Signal Processing and 40 papers in Artificial Intelligence. Recurrent topics in Danny Crookes's work include Embedded Systems Design Techniques (20 papers), Parallel Computing and Optimization Techniques (19 papers) and CCD and CMOS Imaging Sensors (16 papers). Danny Crookes is often cited by papers focused on Embedded Systems Design Techniques (20 papers), Parallel Computing and Optimization Techniques (19 papers) and CCD and CMOS Imaging Sensors (16 papers). Danny Crookes collaborates with scholars based in United Kingdom, China and United States. Danny Crookes's co-authors include Richard Jiang, Ahmed Bouridane, Ji Ming, K. Benkrid, A. Benkrid, Huiyu Zhou, Niall McLaughlin, A.C. Downton, Jie Lin and R. Srinivasan and has published in prestigious journals such as The Science of The Total Environment, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Danny Crookes

156 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danny Crookes United Kingdom 20 835 379 332 188 159 163 1.6k
Pascal Lamblin Canada 7 742 0.9× 282 0.7× 831 2.5× 154 0.8× 51 0.3× 9 1.9k
Nash Borges United States 6 527 0.6× 593 1.6× 669 2.0× 221 1.2× 26 0.2× 9 1.7k
Xuemin Chi China 7 551 0.7× 575 1.5× 638 1.9× 226 1.2× 27 0.2× 14 1.8k
Kuo‐Liang Chung Taiwan 22 1.7k 2.1× 330 0.9× 225 0.7× 121 0.6× 25 0.2× 173 2.2k
Dan Schonfeld United States 26 1.8k 2.1× 376 1.0× 647 1.9× 252 1.3× 27 0.2× 207 2.7k
Rajat Raina United States 10 823 1.0× 234 0.6× 1.2k 3.7× 126 0.7× 30 0.2× 11 2.0k
Worthy N. Martin United States 19 899 1.1× 77 0.2× 494 1.5× 154 0.8× 45 0.3× 60 2.0k
Jane Bromley United States 11 795 1.0× 210 0.6× 740 2.2× 161 0.9× 21 0.1× 20 1.8k
Gerhard X. Ritter United States 17 716 0.9× 149 0.4× 836 2.5× 210 1.1× 35 0.2× 114 1.6k
Allen R. Hanson United States 26 1.9k 2.2× 100 0.3× 372 1.1× 175 0.9× 75 0.5× 123 2.6k

Countries citing papers authored by Danny Crookes

Since Specialization
Citations

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

Fields of papers citing papers by Danny Crookes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danny Crookes

This figure shows the co-authorship network connecting the top 25 collaborators of Danny Crookes. A scholar is included among the top collaborators of Danny Crookes 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 Danny Crookes. Danny Crookes 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.
Lin, Pengcheng, Rui Shao, Rui Cao, et al.. (2024). DeepmdQCT: A multitask network with domain invariant features and comprehensive attention mechanism for quantitative computer tomography diagnosis of osteoporosis. Computers in Biology and Medicine. 170. 107916–107916. 3 indexed citations
2.
Crookes, Danny, et al.. (2023). End to End Multitask Joint Learning Model for Osteoporosis Classification in CT Images. Computational Intelligence and Neuroscience. 2023(1). 3018320–3018320. 7 indexed citations
3.
Wang, Meirong, et al.. (2023). PE-Net: a parallel framework for 3D inferior mesenteric artery segmentation. Frontiers in Physiology. 14. 1308987–1308987. 1 indexed citations
4.
Jiang, Zheheng, Zhihua Liu, Long Chen, et al.. (2022). Detecting and Tracking of Multiple Mice Using Part Proposal Networks. IEEE Transactions on Neural Networks and Learning Systems. 34(12). 9806–9820. 9 indexed citations
5.
Ming, Ji, et al.. (2022). Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images. Medical Image Analysis. 83. 102640–102640. 14 indexed citations
6.
Ming, Ji, et al.. (2018). Matching Larger Image Areas for Unconstrained Face Identification. IEEE Transactions on Cybernetics. 49(8). 3191–3202. 9 indexed citations
7.
Jiang, Richard, et al.. (2016). Biometric Security and Privacy: Opportunities & Challenges in The Big Data Era. Springer eBooks. 6 indexed citations
8.
Kurugöllü, Fatih, et al.. (2013). Gait period estimation algorithm based on the angles of extremities. Research Portal (Queen's University Belfast). 160–165. 6 indexed citations
9.
McLaughlin, Niall, Ji Ming, & Danny Crookes. (2011). Speaker recognition in noisy conditions with limited training data. Research Portal (Queen's University Belfast). 1294–1298. 4 indexed citations
10.
Crookes, Danny, et al.. (2011). Exploiting long-range temporal dynamics of speech for noise-robust speaker recognition. Research Portal (Queen's University Belfast). 2123–2127. 2 indexed citations
11.
Jiang, Richard, et al.. (2010). Live-Cell Tracking Using SIFT Features in DIC Microscopic Videos. IEEE Transactions on Biomedical Engineering. 57(9). 2219–2228. 25 indexed citations
12.
Wang, Yinhai, et al.. (2007). Segmentation of Squamous Epithelium from Ultra-large Cervical Histological Virtual Slides. Conference proceedings. 2007. 775–778. 9 indexed citations
13.
Benkrid, A., Danny Crookes, & K. Benkrid. (2001). Design and Implementation of a Generic 2-D Biorthogonal Discrete Wavelet Transform on an FPGA. 190–198. 11 indexed citations
14.
Benkrid, K., et al.. (2001). High Level Programming for FPGA Based Image and Video Processing Using Hardware Skeletons. 219–226. 17 indexed citations
15.
Donnelly, Paul, et al.. (1994). Evolving Go Playing Strategy in Neural Networks. 5 indexed citations
16.
Philip, George, F.J. Smith, & Danny Crookes. (1990). An investigation of the use of a voice input/output interface for online searching. 1 indexed citations
17.
Crookes, Danny, et al.. (1989). An algebra-based language for image processing on transputers. International Conference on Image Processing. 457–461. 4 indexed citations
18.
Crookes, Danny. (1988). Introduction to programming in Prolog. Prentice Hall eBooks. 1 indexed citations
19.
Crookes, Danny. (1983). Teaching assembly-language programming: a high-level approach. 2(2). 40–43. 3 indexed citations
20.
Perrott, R. H., et al.. (1983). Implementation of an Array and Vector Processing Language.. Proceedings of the International Conference on Parallel Processing. 28(6). 232–239. 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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