Danny Crookes

2.4k citations
163 papers · 1.6k · h-index 20

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Face recognition and analysis
    • Face and Expression Recognition
    • Image Retrieval and Classification Techniques
    • Image and Signal Denoising Methods
    • Biometric Identification and Security
    • Speech and Audio Processing

Papers in

Danny Crookes

156 papers receiving 1.5k citations

Peers

Danny Crookes
Comparison fields: 5 of 133
  • Computer Vision and Pattern Recognition 835
  • Signal Processing 379
  • Hardware and Architecture 159
  • Media Technology 114
  • Artificial Intelligence 332
Replace Benoît Macq with:
Benoît Macq Belgium
Pascal Lamblin Canada
Gerhard X. Ritter United States
Giovanni Ramponi Italy
Zhifeng Li China
Don Steinkraus United States
Thrasyvoulos N. Pappas United States
Jun-Cheng Chen Taiwan
Dan Schonfeld United States
Jane Bromley United States
Danny Crookes relative to Benoît Macq Belgium Benoît Macq's profile →
Citations per field
00.5×6.4×
Benoît Macq · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Danny Crookes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danny Crookes Line = papers co-authored together Danny Crookes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200961
2 202154
3 200046
4 199842
5 201639
6 201038
7 200236
8 200335
9 200735
10 201031
11 200730
12 201829
13 201828
14 201025
15 199925
16 200723
17 199923
18 200822
19 201622
20 201719

About Danny Crookes

Danny Crookes is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Hardware and Architecture and Electrical and Electronic Engineering, having authored 163 papers that have together received 1.6k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (20 papers), Parallel Computing and Optimization Techniques (19 papers), CCD and CMOS Imaging Sensors (16 papers), Image and Signal Denoising Methods (15 papers), Advanced Image and Video Retrieval Techniques (15 papers), Biometric Identification and Security (14 papers), Advanced Data Compression Techniques (14 papers) and Face recognition and analysis (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (835 citations), Signal Processing (379 citations), Hardware and Architecture (159 citations), Media Technology (114 citations) and Artificial Intelligence (332 citations). Danny Crookes has collaborated with scholars based in United Kingdom, China and United States. Frequent 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. Their work appears in journals such as Electronics Letters, IEEE Transactions on Information Forensics and Security, IEEE Access, Journal of Information Science and IEEE Transactions on Cybernetics.

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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