Joseph Luttrell
Impact in
-
- Computational Drug Discovery Methods
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Imbalanced Data Classification Techniques 2
- Domain Adaptation and Few-Shot Learning 2
-
- Gene expression and cancer classification 2
- Co-authors
- Chaoyang Zhang (10 shared papers)Ran Liu (2 shared papers)Juanying Xie (2 shared papers)Ping Gong (7 shared papers)Zhaoxian Zhou (5 shared papers)Gabriel Idakwo (4 shared papers)Huixiao Hong (4 shared papers)Minjun Chen (2 shared papers)
- Journals
- International Journal of Transportation Science and Technology (2 papers)Frontiers in Genetics (2 papers)Experimental Biology and Medicine (1 paper)Frontiers in Physiology (1 paper)Journal of Multidisciplinary Healthcare (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Joseph Luttrell
15 papers receiving 518 citations
Peers
Comparison fields: 5 of 97
- Computational Theory and Mathematics 136
- Radiology, Nuclear Medicine and Imaging 143
- Artificial Intelligence 207
- Computer Vision and Pattern Recognition 103
- Biophysics 25
Countries citing papers authored by Joseph Luttrell
This map shows the geographic impact of Joseph Luttrell'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 Joseph Luttrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Luttrell more than expected).
Fields of papers citing papers by Joseph Luttrell
This network shows the impact of papers produced by Joseph Luttrell. 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 Joseph Luttrell. The network helps show where Joseph Luttrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph Luttrell, 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 | 2019 | 192 | |
| 2 | 2018 | 98 | |
| 3 | 2020 | 81 | |
| 4 | 2020 | 57 | |
| 5 | 2019 | 35 | |
| 6 | 2019 | 16 | |
| 7 | 2018 | 13 | |
| 8 | 2019 | 10 | |
| 9 | 2016 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2017 | 8 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 |
About Joseph Luttrell
Joseph Luttrell is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Ocean Engineering and Computational Theory and Mathematics, having authored 17 papers that have together received 533 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Gene expression and cancer classification (2 papers), Underwater Vehicles and Communication Systems (2 papers), Face and Expression Recognition (2 papers), Face recognition and analysis (2 papers), Automated Road and Building Extraction (2 papers), Imbalanced Data Classification Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computational Theory and Mathematics (136 citations), Radiology, Nuclear Medicine and Imaging (143 citations), Artificial Intelligence (207 citations), Computer Vision and Pattern Recognition (103 citations) and Biophysics (25 citations). Joseph Luttrell has collaborated with scholars based in United States and China. Frequent co-authors include Chaoyang Zhang, Ran Liu, Juanying Xie, Ping Gong, Zhaoxian Zhou, Gabriel Idakwo, Huixiao Hong, Minjun Chen, Chaoyang Zhang and Jonathan Greenbaum. Their work appears in journals such as International Journal of Transportation Science and Technology, Frontiers in Genetics, Experimental Biology and Medicine, Frontiers in Physiology and Journal of Multidisciplinary Healthcare.
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.