Derek Rose
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- Advanced Neural Network Applications 4
- Generative Adversarial Networks and Image Synthesis 3
- Medical Image Segmentation Techniques 2
- Artificial Intelligence top 2%
- Neural Networks and Applications 5
- AI in cancer detection 3
- Machine Learning and Data Classification 3
- Media Technology top 5%
- Signal Processing top 5%
- Health Informatics top 10%
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- Neural dynamics and brain function 3
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- Cell Image Analysis Techniques 3
- Co-authors
- Thomas P. KarnowskiItamar ArelSteven R. YoungRobert M. PattonSeung–Hwan LimThomas E. PotokVincent PaquitNisha Srinivas
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (1 paper)Science (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesAustraliaChile
In The Last Decade
Derek Rose
29 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Computer Vision and Pattern Recognition 442
- Artificial Intelligence 635
- Media Technology 118
- Signal Processing 133
- Health Informatics 15
Countries citing papers authored by Derek Rose
This map shows the geographic impact of Derek Rose'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 Derek Rose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derek Rose more than expected).
Fields of papers citing papers by Derek Rose
This network shows the impact of papers produced by Derek Rose. 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 Derek Rose. The network helps show where Derek Rose may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Derek Rose, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2021 | 14 | |
| 4 | 2020 | 31 | |
| 5 | 2020 | 12 | |
| 6 | 2019 | 3 | |
| 7 | 2019 | 1 | |
| 8 | 2017 | 32 | |
| 9 | 2017 | 30 | |
| 10 | Optimizing deep learning hyper-parameters through an evolutionary algorithmbreakdown → | 2015 | 283 |
| 11 | Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]breakdown → | 2010 | 774 |
| 12 | 2010 | 8 | |
| 13 | Deep Machine Learning—A New Frontier in Artificial Intelligence Research | 2010 | 215 |
| 14 | 2010 | 33 | |
| 15 | 2010 | 4 | |
| 16 | 2008 | 4 | |
| 17 | 2007 | 11 | |
| 18 | 2006 | 7 | |
| 19 | 2004 | 8 | |
| 20 | Improving schools : establishing and integrating whole school behaviour policies | 1994 | 9 |
About Derek Rose
Derek Rose is a scholar working on Structural Biology, Computer Vision and Pattern Recognition, Biophysics, Artificial Intelligence and Signal Processing, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Advanced Neural Network Applications (4 papers), Neural dynamics and brain function (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), AI in cancer detection (3 papers), Machine Learning and Data Classification (3 papers), Cell Image Analysis Techniques (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (442 citations), Artificial Intelligence (635 citations), Media Technology (118 citations), Signal Processing (133 citations) and Health Informatics (15 citations). Derek Rose has collaborated with scholars based in United States, Australia and Chile. Frequent co-authors include Thomas P. Karnowski, Itamar Arel, Steven R. Young, Robert M. Patton, Seung–Hwan Lim, Thomas E. Potok, Vincent Paquit, Nisha Srinivas, Hairong Qi and Travis Johnston. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Science, Nature Communications, Pattern Recognition Letters and Seismological Research Letters.
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.